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Job Description At RSA, we believe insurance is about people, not things. We provide our inspiring colleagues the support and opportunity to grow together, shape the future, and win as a team. We are going through a transformation journey, providing our people with opportunity to be integral to improving our service and delivering better products to brokers and customers. We are a proud member of the Intact family, we feel part of something bigger, with a presence in North America, the UK and Europe. We have a bold ambition to become the best Commercial Lines business in the UK, demonstrated by our recent acquisition of NIG and Farmweb, allowing us to scale by leveraging our combined financial strength and importantly ensure our people feel the benefits of our joint capabilities. We are currently recruiting for a Data and ML Product Lead to join our established and experienced Chief Information Office team here at RSA on a hybrid basis. Role Requirements As the Data and ML Product Lead you will be responsible for overseeing the lifecycle of data and machine learning products at RSA. You will define and drive the strategy for data and ML product development, ensuring alignment with RSA's business goals and data strategy. You will develop and maintain comprehensive data product roadmaps that outline the delivery and evolution of data products, ensuring they meet current and future business needs. You will own the end-to-end lifecycle of data products, including their ongoing governance, to ensure they remain relevant, compliant, and aligned with business objectives. You will collaborate with business units, data science teams, and technology groups to identify opportunities and ensure successful product launches and adoption. You will define practices to establish key performance indicators (KPIs) to measure the success of data products and drive continuous improvement based on user feedback and performance data. The Individual About You: To be successful in this role you will have experience in product management, particularly within data and AI/ML domains. You will have a good background in the financial services or insurance industry, with an understanding of how data products can drive business value in these sectors. You will have experience with cloud platforms such as Azure and data tools like Databricks, with an understanding of how to leverage the platform for product development, data integration, and advanced analytics. You will have experience working within Agile or continuous delivery frameworks, with a focus on iterative development and rapid deployment. You will have good communication and collaboration skills, with the ability to engage and influence senior stakeholders and cross-functional teams. You will have the ability to lead and mentor teams, fostering a collaborative environment that encourages innovation and excellence. What we offer you: At RSA we put our people first. We have adopted hybrid working as standard, to give you a better work/life balance and an excellent flexible working mindset. That is on top of a comprehensive range of benefits, including pension contributions of up to 11% looking after you now, and in the future. We will give you countless opportunities to continuously develop, alongside a diverse and passionate community of experts, the best the industry has to offer. You will be empowered to be your best self, do your best work, and make a meaningful impact. Our employee promise allows you to shape the future, win as a team, and grow with us. About Us We celebrate individuality and it's important to us that we have a culture where our people feel respected and valued for who they are. We pride ourselves on being accessible and encourage inclusive environments where our people can always give and show the very best of themselves. We understand that home life is a priority and are happy to consider reduced hours or job shares. If you think you would be a great fit for us, but don't meet all the requirements of the role, please contact us as we'd love to discuss how RSA could be the next step in your career journey. Please let us know if there are any changes we could make to the application process to make it easier and more comfortable for you. Contact our recruitment team so we can work with you to support you throughout your application.

Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Analyse source data from source databases (PostgreSQL) to understand structures, relationships and semantics. Design and implement streaming data pipelines using AWS EMR and PySpark to generate real time (fast moving) features for the feature store. Develop and maintain batch processing pipelines using DBT and BigQuery to generate batch (slow moving) features, ensuring data quality, consistency and reliability. Work with Feast feature store, manage feature life cycle and maintain data quality. Collaborate with data scientists, ML engineers and software engineers to identify requirements, define feature schemas and ensure efficient integration into Feast feature store. Requirements Good knowledge of programming languages such as Python or Java. Strong experience with streaming technologies (Spark, PySpark, Flink, KSQL or similar) for developing data transformation pipelines. Solid understanding and practical experience with SQL and relational databases (PostgreSQL preferred). Proficiency with AWS EMR for running and managing Spark workloads. Experience in SQL based transformation workflows, particularly using DBT in BigQuery. Experience with Terraform to define and manage cloud infrastructure through code. Desirables: Familiarity with AWS, GCP or other cloud providers. Experience with containerisation technologies (Docker, Kubernetes). Familiarity with streaming data ingestion technologies (Kafka, Debezium). Exposure to feature store concepts and practices (Feast or similar). Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 30 mins with one of the team Stage 2 Take home challenge Stage 3 60 mins technical interview with two team members Stage 4 45 min final with two data executives Benefits 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra days holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Description Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. About the Role The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that make use of machine learning models under the hood. This could mean anything from creating a brand new ML-powered feature from scratch to seamlessly integrating a new model into our core banking platform. You might find yourself designing robust infrastructure and pipelines or discovering a completely new approach to a complex problem. We believe in empowering our engineers to take ownership and drive solutions from ideation to launch. This means you'll have the autonomy to shape your own path, identify challenges, and collaborate with colleagues across teams to deliver impactful solutions across a range of technologies. Requirements We are looking for a skilled software engineer who thrives on building and scaling complex systems. You should have a proven track record of delivering robust, multi-technology applications within an enterprise environment. We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific qualifications. We are very open about how we deliver software. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. The main part of our Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Python Java, which makes up the majority of our backend codebase JavaScript, particularly React, which makes up our frontend Postgres and SQL AWS & GCP were cloud native TeamCity for CI / CD (lots of teams are releasing code 15 20 times per day!) Terraform Prometheus and Grafana If you've built and deployed complex Python applications or have experience with generative AI, we'd be especially keen to hear from you - we're always pushing the boundaries of what's possible with AI/ML. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 45 mins with one of the team Stage 2 Take home challenge Stage 3 90 mins technical interview with two team members Stage 4 45 min final with an two executives Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra days holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Who we are 🩵 We're the people behind global loyalty currency, Avios, and home to three ambitious, growing businesses; IAG Loyalty, British Airways Holidays and The Wine Flyer . Each business has its own goals and strategy, but collectively we create brilliant experiences for our global customers. We're on a truly exciting journey of growth and transformation - we're going places! This is where you come in. The opportunity You'll be joining our Data Products team, working closely with teams that are aligned to value steams. Our team exists to drive success across Commercial, Customer, Finance and Product domains. We're on a mission to make our data available and usable in one place to delivering powerful data solutions that optimise performance and supercharge decision-making. We're putting data at the heart of what we do to deliver super experiences to our customers and colleagues with machine learning (ML) foundational to this mission. We need to embed a centralised ML platform to make our colleagues lives easier when creating value for the company in a standardised way. This platform will allow safe, efficient and reliable MLOps. We're therefore looking for an experienced senior Machine Learning Engineer who is capable of leading a small team and scale our ML capabilities to meet the needs of our team and our companies goals. You'll be joining in the early stages of our journey as we build out the team. We're migrating to Snowflake platform along with other tooling as part of the modern data stack such as AWS (Sagemaker). You'll design and implement the infrastructure and tools that enable the development and deployment of machine learning models. In this role, you will be using ground-breaking technology on the Snowflake platform to build and support world-class ML systems, both batch and real-time. Your role will be part people manager, part individual contributor - you'll be thinking strategically about what we need and building the platform out. What you'll get up to 🌠 Leading a small team to build out the ML platform and focus on what matters Contribute to the design, development, and deployment of our ML platform Define and implement best practices for training, evaluating, and deploying machine learning models at scale Collaborate with software engineers, data engineers, and data scientists to develop end to end ML solutions Extend and maintain our self service platform to help our data science teams quickly productionise ML models following MLOps best practices What we need from you 💡 Hands on experience in machine learning engineering, with a proven track record of designing and deploying large scale machine learning systems Extensive knowledge of software development with Python, SOLID principles Understanding of machine learning techniques, such as supervised and unsupervised learning, MLOps, and data engineering Infrastructure as Code Terraform or equivalent Practical knowledge of AWS, Snowflake, GCP, AWS or Azure Experience with or equivalent to: o Vertex, Dataflow, Cloud Run, BigQuery, Datastore, Cloud Storage, Cloud Functions and PubSub o Snowflake Cortex / AWS Bedrock, AWS MSK, Snowpipe Streaming, Snowpark Container Services We might not be right for you if: You value perfection over fast iteration and progress; IAG Loyalty moves fast, we learn and iterate as we go; our environment isnt right for everyone. If you think you have what it takes but don't meet every single point above, please do still apply. We'd love to chat and see if you could be a great fit. And in return? You'll get access to a whole host of travel, Avios, healthcare benefits and more. Find out more here. Equity, Diversity and Inclusion at IAG Loyalty Our vision, 'to create the world's most rewarding experiences,' applies not only to our customers but for our colleagues too. It's about taking belonging seriously, actively fostering a culture where everyone feels welcomed and valued by embracing diverse identities, personal histories, and perspectives. This commitment makes IAG Loyalty a rewarding place to work and enhances our ability to solve complex problems, drive innovation, and better serve our customers and communities. Please let us know if we can make any reasonable adjustments to support your interview process with us.

Lead ML Engineer London - Hybrid (1 day per week in office) £80,000 - £100,000 DOE + Bonus (up to 15%) + Excellent Pension + Car Scheme + Technology Benefits + EAP Programme + Flexible working This is an incredible opportunity for a Lead ML Engineer to join a fast paced and forward-thinking business always looking to innovate and lead from the front in the technology world. The company are a leading organisation in the energy sector, dedicated to delivering innovative solutions and improving operational efficiency. As part of their Data Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making and machine learning infrastructure. In this role, you will lead machine learning projects from concept to production, develop platform tools, and collaborate with data scientists to build data pipelines. You'll mentor junior team members, work with IT teams to advance projects, and improve deployment processes. Additionally, you'll design and maintain cloud infrastructure, ensure high-quality code, and participate in code reviews. The ideal candidate will have proven experience in a similar role in some combination of Software, Data or DevOps and strong experience working with ML models. You will be an expert with Python and associated libraries (Pandas, scikit-learn etc.), have strong Azure DevOps exposure (Terraform, Docker, Kubernetes) and high proficiency in SQL. An incredible opportunity for a confident and commercial ML Engineer to lead from the front working with cutting edge technology and driving company growth. The Role: • Lead machine learning projects from concept to production.Develop platform tools and collaborate with data scientists to build data pipelines.Mentor junior team members and support their technical growth.Work closely with IT teams to advance project goals and improve deployment processes.Design and maintain cloud infrastructure to support machine learning initiatives. The Person: • Proficiency in Python, including libraries such as Pandas and scikit-learn, and strong SQL skills.Deep understanding of software engineering best practicesExperience with tools like Azure, Azure ML, GitHub Actions, Terraform, Packer, Airflow, Docker, and KubernetesExpertise in Linux/Windows VM administration. Reference Number: BBBH248582 To apply for this role or to be considered for further roles, please click \"Apply Now\" or contact Ryan McIntyre at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates

Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Translate data requirements from across the organisation into robust and reusable models Considerations towards model risk and governance Maintain consistent and clear documentation and communicate with business stakeholders (both technical and non technical) Collaborate with the wider data team to help meet the business goals, including peer reviews Self starter with ability to think outside the box and evolve projects. Take ownership of a project end to end and manage priorities accordingly Requirements Experience with Consumer Behaviour Modelling. To include but not limited to: Vulnerable Customer Identification Transaction models i.e. Gambling, Spending, Income Deriving insights from banking data and third party external data Model Monitoring Strong experience with SQL & Python Experience supporting and working with cross-functional teams in a dynamic environment Model deployment Version control using GitHub or similar Desirables: Strong experience with dbt, dimensional modelling, GCP and Looker or a desire to learn Third party data acquisition Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 30 mins with one of the team Stage 2 Take home challenge Stage 3 60 mins technical interview with two team members Stage 4 45 min final with an two executives Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra days holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Senior Data Scientist London - 4 Days on-site £65,000 - £110,000 DOE + Generous Equity + Unlimited Holiday This is an excellent opportunity for a Senior Data Scientist to join a rapidly growing start-up, where you will focus on analytics and modelling to interpret data. This company is a platform designed to simplify the hiring process for businesses and enable individuals to find flexible work opportunities. By connecting businesses with skilled professionals for short-term staffing needs, this innovative solution optimises workforce efficiency. In this varied role you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non-technical and technical stakeholders. The ideal candidate will possess a minimum of 2+ years of experience building AI models in Python within a startup environment or leading Tech company. Demonstrable proficiency in Python AI libraries is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required. This is a fantastic opportunity for a Senior Data Scientist to join a company at an exciting time of growth, within a role offering a great benefits package and collaborative working environment. The Role: • Leverage data science for business impact.Apply machine learning and statistical techniques.Collaborate with nontechnical experts for solutions.Present complex data to diverse stakeholders.4 Days onsite, 1 day WFH The Person: • 2+ years AI model building in Python.Proficient as a Data Scientist with knowledge of Python AI libraries.Expertise in demand prediction, computer vision, or optimisation (preferred).Familiarity with AWS AI/ML services (SageMaker, Lambda). Reference Number: BBBH251711 To apply for this role or for to be considered for further roles, please click \"Apply Now\" or contact Tom McLaughlin at Rise Technical Recruitment This vacancy is being advertised by Rise Technical Recruitment Ltd. The services of Rise Technical Recruitment Ltd are that of an Employment Agency Rise Technical Recruitment Ltd regrets to inform that our client can only accept applications from engineering candidates who have a valid legal permit or right to work in the United Kingdom. Potential candidates who do not have this right or permit, or are pending an application to obtain this right or permit should not apply as your details will not be processed.

Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. We're looking for an experienced Data Analyst to join our Growth Data team at Starling Bank and play a key role in delivering exceptional customer experiences. You'll work closely with our Customer Engagement and Marketing teams to optimise marketing campaigns and drive growth through effective and personalised customer communications. What you'll be doing: A/B testing: Initiate, design, and analyse A/B tests to optimise the performance of customer engagement campaigns and maximise their impact. Causal Inference: Apply causal inference techniques to accurately measure the impact of engagement campaigns and personalise communications for individual users. Insight Generation: Conduct ad hoc product and marketing analysis to generate insights that inform campaign conception and improve performance. Drive Data Fluency: Partner with stakeholders to enable them to confidently and accurately self serve and extract insight from data. Analytics Engineering: Collaborate with Analytics Engineers and Product teams to build and enhance our customer engagement data mart. Data Storytelling: Translate complex data findings into clear, concise, and actionable insights and recommendations for marketing and customer engagement teams. Measurement Frameworks: Contribute to the development and implementation of measurement frameworks to assess the effectiveness of marketing efforts across all channels. Requirements What you'll need: Analytical Expertise: Strong analytical and problem solving skills, with a proven ability to derive actionable insights from complex datasets. Commercial Acumen: A commercial mindset with the ability to translate data insights into business recommendations. A/B Testing & Uplift Modelling: Solid experience in designing, implementing, and analysing A/B tests and uplift models, with a strong understanding of their application in real world scenarios. Causal Inference: Experience with causal inference methodologies and their application to marketing and customer engagement. Technical Skills: Proficiency in SQL and Python for data manipulation, statistical analysis, and modelling. Experience with dbt for data transformation is highly beneficial. Familiarity with data visualisation tools (e.g., Looker) for creating effective dashboards is highly beneficial Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely to both technical and non-technical audiences. Collaboration: A strong team player with the ability to collaborate effectively with cross-functional teams, including marketing, product, engineering, and data science. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 30 mins with one of the team Stage 2 Take home challenge Stage 3 90 mins technical interview with two team members Stage 3 45 min final with an executive and a member of the people team Benefits 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra days holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Build, test and deploy machine learning models which will improve and/or automate decision making. You will be part of a team delivering data driven solutions and insights to improve the speed, efficiency, and quality of decision making. Work proactively with technical and non technical teams to deliver insights to support the wider business. Implement comprehensive model monitoring. Develop model training and evaluation pipelines to accelerate model development / deployment adhering to software development best practices (CI/CD & MLOps) Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling. Requirements You have at least 3 4 years of experience as a professional Data Scientist Python, which makes up the majority of our Data Science stack. Proven experience in data science, with a focus on machine learning model development/Large Language Model (LLM) application development. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock). Demonstrable experience monitoring the performance and output quality of generative models, including assessing/mitigating hallucinations and coherence of generated content. Desirables: Experience fine tuning large language models is a bonus. Prior experience utilising LLMs on mobile applications is a bonus. Experience with open source large language models (e.g Llama). Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 30 mins with one of the team Stage 2 Take home challenge Stage 3 60 mins technical interview with two team members Stage 4 45 min final with two executives Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra days holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum. As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive. Todays' RCM is inherently complex due to opaque and payer-specific adjudication rules, incurring significant waste and inefficiency. Optum Insight is committed to delivering new technology and processes to improve the Revenue Cycle Management (RCM) workflow using advances in Gen AI and other state-of-the-art technology that would ultimately benefit all stakeholders involved in the healthcare ecosystem ?" payers, providers, and patients. We are looking for a Senior Data Scientist - AI/Deep Learning to enhance our capacity to develop new analytic products. As a key member of the Data Science Team, you will be part of UnitedHealth Group's mission of helping people live healthier lives. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work This position will report to the Director Data Science in Ireland and will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with a diverse analytic peer group in Ireland, while building strong relationships with US-based AI/ML experts. Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny offices and telecommuting from a home-based office in a hybrid work model. Primary Responsibilities: Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a storyBuild and maintain production-ready machine-learning modelsIdentify drivers of patterns / behaviors uncovered in data and use these to explain business trendsContribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patternsEngage with subject-matter experts to explore business problems and design solutionsPresent analysis and interpretation for both operational and business review and planningSupport short and long term operational and strategic business activities through the use of data and develop recommended business solutions through research, analysis and implement when appropriate You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in. Required Qualifications: Masters degree in Statistics, Physics, Mathematics, Engineering or similar analytic domain with a significant quantitative aspectProficiency in AI/ML and deep learning frameworks such us PyTorchProven track record of developing and deploying machine learning models in production environments Soft Skills: Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application. All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes ?" an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveler community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved.

What you will be doing: managing deployment automation of Azure PaaS/SaaS services within the context of a Big Data & Analytics platform carrying out automation of configuration validation and re-establishment to comply with IT security requirements and ensure platform stability implementing end-to-end solution automation for the complete Machine Learning (ML) lifecycle conducting root cause analysis of complex issues reported by the support team Skills and experience you will need fluency in English 3+ years of experience as a Cloud DevOps Engineer or Cloud Engineer experience in Infrastructure as Code (IaC) development using PowerShell / ARM Templates, Azure DevOps (Build Pipelines, Release Pipelines), Ansible, and Azure Policies proficient in multiple Azure technologies, including Azure Data Factory, Azure Kubernetes Services, Azure Databricks, Azure Event Hub, Azure SQL Server, Azure Data Lake Store, Azure Blob Storage, Power BI, Azure Search, Azure Cosmos DB, Azure DSVM (Windows & Linux), and Azure ML, specifically concerning deployment and configuration knowledge of Robust Azure networking, including VNets, Hub & Spoke architectures, and connectivity between Azure and on-premises good understanding of Azure AD, Azure Active Directory Domain Services, and integration of various Azure technologies following IT security requirements high level of commitment and flexibility regarding task assignment, coupled with a willingness to tackle a variety of complex tasks Nice to have experience in Terraform proficient skills in Databricks and Dataiku Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard.

Location(s): UK, Europe & Africa : UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting material. Develop prototypes and proof of concept demonstrators. Take ownership of tasks in projects and deliver to challenging standards. Effectively present results to both technical and non-technical audiences. Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams). Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team. Knowledge, Skills and Experience: PhD qualified with at least 4 years experience post PhD, ideally working in the Defence or National Security sectors. You will have experience of leading R&D teams with a minimum of 5 developers. You will have a strong record of securing funding for and delivering innovative R&D into Defence and NS customers. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Digital Intelligence. Due to the nature of our work successful candidates for this role will be required to go through Government SC clearance prior to starting with us. -hidden link- Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

We have a current opportunity for a Python Quant Pricing Developer on a permanent basis. The position will be based in London. For further information about this position please apply. Core Strats play a vital role in driving quantitative deliveries across all Global Markets businesses managing the core data and analytics platform, including Data, AI/ML, and Governance & Core Engineering. The team ensures we scale important initiatives effectively whilst modernising and adapting to technological change and is a key driver of our competitive advantage. The Front Office Platform team is responsible for delivering user-facing analytics capabilities to businesses across Markets. The goal of the team is to create a unified platform for development and analysis. This includes driving the adoption of the platform, prototyping new technologies for integration, standardizing UI and backend components, and initiating business-aligned application development projects. This work is carried out in close collaboration with partners in trading and sales businesses and the Technology organization. Overall purpose of role We are seeking an experienced quant developer to lead the development of a cross-asset analytics platform for front office sales, ensuring alignment with strategic initiatives. This is a hands-on software development role. The candidate will collaborate with senior stakeholders and users to define requirements, implement back-end and UI components in partnership with technology teams, and ensure consistency with other firmwide initiatives. This role offers significant exposure to senior managemenent and very strong communication skills are essential. Key Accountabilities Deliver a cross-asset front office analytics platform to sales personnel.Engagement with sales users and senior stakeholders in sales and trading businesses.Interact with senior management to report progress and suggest strategic direction.Design of the system and the associated APIsHands-on development of backend and front end components, focussing on Python and React.Ensure that the platform aligns with strategic initiatives, by collaborating with partners in the Technology organisation. To find out more about SThree, please visit -hidden link- SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

About the role As an AI Scientist at Zellis you'll play a pivotal role in embedding AI-driven solutions across the Zellis HR, Workforce Management and Payroll platform and driving through their adoption. You'll work within a small, highly creative and research-driven team, designing, developing and deploying compute-efficient, powerful, and safe AI models that provide tangible value to our clients. Our mission is to redefine how AI can expand Zellis' client base, ensuring AI goes beyond surface-level functionality to drive meaningful transformation across HR and pay solutions. You'll develop and implement AI technologies that enhance automation, decision-making, and predictive capabilities. You'll also ensure our AI solutions adhere to strict ethical, privacy, and security standards while maximising business impact. At Zellis, we balance research with practical deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. In this role your key responsibilities will include: AI Research and Model Development Conducting research in AI, using a full range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision making. Ensuring AI models are scalable and efficient for real world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta language translation / transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. AI Integration into HR, Workforce Management, and Payroll Systems Collaborating with the Technology teams / Engineers to integrate AI solutions across all HR and payroll modules. Automating repetitive HR tasks like payroll processing and compliance checks. Implementing AI driven workforce forecasting and scheduling. Developing AI powered insights for HR leaders to improve talent management. Enhancing employee self service with AI bots, assistants, and workspaces. AI Ethics, Privacy, and Security Designing AI systems that are safe, unbiased, and compliant with GDPR. Working with Legal teams to assess and mitigate AI related risks. Ensuring AI models do not reinforce biases in HR processes. Implementing privacy preserving techniques in AI solutions. Collaboration and Cross-Functional Work Working with Product Managers, Engineers, and business stakeholders to define AI goals. Communicating AI concepts in a business friendly manner. Leading AI experimentation initiatives and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up to date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry conferences. Prototype and testing AI models before full scale deployment. Skills & experience Technical Expertise Understanding of transformer architectures, and large scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python / other AI related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles for scaling AI models. Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible AI Awareness of AI ethics, bias mitigation, and fairness in models. Understanding of GDPR and compliance frameworks for AI in HR applications. Ability to design fair and interpretable AI systems. Problem Solving and Critical Thinking Strong analytical skills to improve AI model performance. Ability to develop innovative AI driven solutions for business challenges. Business Acumen and HR Domain Knowledge Understanding of HR, payroll, and workforce management processes would be advantageous. Ability to translate AI research into commercially viable products. Experience working with HR datasets and organisational analytics. Collaboration and Communication Ability to explain AI concepts to non technical stakeholders. Experience working in cross functional teams. Strong documentation skills for AI research and best practices. Enthusiasm for mentoring and knowledge sharing. Adaptability and Continuous Learning Ability to work in a fast paced, entrepreneurial setting. Willingness to experiment with emerging AI technologies. Commitment to ongoing learning in AI and HR tech. Strategic and product focused thinking. Vision for AI driven business expansion at Zellis. Focus on delivering measurable AI value to HR professionals. Ability to balance long term AI research with short term business impact. Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full stack practical coding skills. Benefits & culture At Zellis we create AI-enabled HR, workforce management and payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services. Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from of our 3,000+ colleagues, we live and breathe every day: Unstoppable together. Always learning. Make it count. Think scale. Our people are critical to our ongoing success; we're proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you'll have the chance to stretch and challenge yourself in an environment that's varied, flexible and hugely supportive. We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you'll receive: A competitive base salary. 25 days annual leave, plus your birthday off and the opportunity to buy additional holiday. Private medical insurance. Life assurance 4x salary. Enhanced pension scheme with company contributions up to 8.5%. A huge range of additional flexible benefits across financial & personal wellbeing, lifestyle & leisure.

We are looking for a 3rd Line Infrastructure Support Engineer to work with our 3rd Line team and Engineering teams. Your role will involve assisting high profile user community via incident logging application. Based in Basingstoke you will be provided with legacy infrastructure training. Essential Knowledge and Skills Required: • Microsoft Windows Server 2003-2022 Active Directory and Group Policy Role & Functional based Security Delegation and Layers DNS, WINS and DHCP PKI Services SMTP Proxy Servicing Firewall management and controls DFS, HA, Clustering, SOFS RDS, VMWare, vCenter, ESXI, vMotion, HyperV, VMM Terminal Services MS Cloud incorporating Exchange, Storage and Shares App serviced Citrix deployments incorporating PVSMCS APP-v incorporating Citrix StoreFront Powershell Scripting, MBAM/BitLocker/VPN Desirable skills and knowledge/certifications • Any Microsoft / Citrix / VMWare certification Wider understanding of client or midrange OSes, networking and security HyperV, Azure and Google Cloud HP BladeSystem, or similar blade servers / blade chassis and interconnect technologies HP Cloud Service Automation, or similar self-service cloud management technology HP Server Automation, or similar system configuration / software deployment technology Symantec Datacentre Security, or similar security policy enforcement product A deep understanding of Virtualisation and Container technologies Design of large, complex systems including practical experimentation and development skills Has both technical breadth and depth and great client engagement skills Knowledge or appreciation of some the listed technologies; Foreman; Puppet; Satellite; Ansible; Nagios; AI/ML; Big Data; Elastic Search; IaaS; PaaS; HPC; DevOps; AWS; Azure; Kubernetes, Docker, OpenShift; Linux based applications Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 10 weeks. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.