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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.

Data & Machine Learning Product Lead - London/ Hybrid £90,000 to £100,000 VIQU have partnered with one of the UK's leading brands that are currently hiring for a Data & ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help the customers, take on new technologies and develop business outclass. The Data & ML Product Lead will oversee the lifecycle of Data and Machine Learning products, driving the data strategy, development and delivery of the products. The position will benefit from hybrid working of 3 days a week onsite from their London office. Responsibilities of the Data& Machine Learning Product Lead: Drive the Data Product strategy that aligns with the business data strategy and goals. Collaborate with stakeholders at different levels to identify opportunities and make sure the product is launched successfully Own the full lifecycle of the data products, governance to maintain quality, integrity and consistency of the products Track the data product performance to drive continuous improvement Requirements of the Data & Machine Learning Product Lead: 5+ years experience in Data product management with a background delivering data products focused on Machine Learning A background in financial services, insurance, or a related sector, with an understanding of how data products create business value Experience managing and establishing governance Strong understanding of Azure products and Databricks Background in Machine Learning (ML) analytics and deploying products Proven ability to mentor teams and lead continuous improvement in the data environment Excellent communication skills, attention to detail and self starter Data & Machine Learning Product Lead - London/ Hybrid £90,000 to £100,000 To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Jack Mcmanus on If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). To be the first to hear about other exciting opportunities, technology and recruitment news, please also follow us at ‘VIQU IT Recruitment' on LinkedIn, and Twitter: @VIQU_UK

Data & ML Product Lead London (Hybrid) £85,000 - £105,000 We're partnered with one of the UK's leading brands that are currently hiring for a Data & ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help the customers, take on new technologies and develop business outclass. The Data & ML Product Lead will focus on the data and machine learning products and aim to drive the data strategy, development and delivery of the organisation. The position will benefit from hybrid working of 3 days a week onsite from their London office. Responsibilities of the Data & ML Product Lead: â Drive the Data Product strategy that aligns with the business data strategy and goals.â Collaborate with stakeholders at different levels to identify opportunities and make sure the product is launched successfully â Own the full lifecycle of the data products, governance to maintain quality, integrity and consistency of the productsâ Track the data product performance to drive continuous improvement Requirements of the Data & ML Product Lead: â 5+ years experience in Data product management with a background delivering data productsâ Experience managing and establishing governance â Strong understanding of Azure products such as Databricksâ Good background in Machine Learning (ML) analytics and deploying products â Proven ability to mentor teams and lead continuous improvement in the data environmentâ Excellent communication skills, attention to detail and self starter To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). To be the first to hear about other exciting opportunities, technology and recruitment news, please also follow us at ‘VIQU IT Recruitment' on LinkedIn, and Twitter: @VIQU_UK Data & ML Product Lead London (Hybrid) £85,000 - £105,000

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. In Technology, we're asking that you attend the office a minimum of 1 day per week. 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.

Senior Data Scientist London - 4 Days on-site £80,000 - £110,000 DOE + Private Healthcare + 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).

???? Transform Healthcare with Cutting-Edge Tech! ???? Position: Data Engineer (Python/Databricks) Location: Remote Salary: Up to £80,000 + Benefits Are you driven by a passion for health tech and innovation? Do you dream of revolutionizing clinical research through advanced technology? If so, we have an incredible opportunity for you! Join our trailblazing team as a Data Engineer and play a pivotal role in building secure, scalable microservices that power clinical research applications. This is your chance to make a significant impact on healthcare while working with the latest advancements in data engineering. About Us We are a pioneering health tech company committed to transforming clinical research through innovative data solutions. Our collaborative team, which includes Frontend Developers, QA Engineers, and DevOps Engineers, creates high-performance data pipelines and REST APIs that drive AI applications and external data integrations. Your Role As a Data Engineer, you will: • Build and Optimize Data Pipelines: Implement high-performance data pipelines for AI applications using Databricks. • Develop REST APIs: Create seamless REST APIs for external data integrations. • Ensure Data Security: Apply protocols and standards to secure clinical data both in-motion and at-rest. • Shape Data Workflows: Utilize Databricks components like Delta Lake, Unity Catalog, and ML Flow to ensure efficient, secure, and reliable data workflows. Key Responsibilities • Data Engineering with Databricks: Design and maintain scalable data infrastructure using Databricks. • Integration with Azure Data Factory: Orchestrate and automate data movement and transformation with Azure Data Factory. • Python Development: Write clean, efficient code in Python (3.x), using frameworks like FastAPI and Pydantic. • Database Management: Design and manage relational schemas and databases, focusing on SQL and PostgreSQL. • CI/CD and Containerization: Implement CI/CD pipelines and manage container technologies for a robust development environment. • Data Modeling and ETL/ELT Processes: Develop and optimize data models, ETL/ELT processes, and data lakes to support data analytics and machine learning. Requirements • Expertise in Databricks: Proficiency with Databricks components such as Delta Lake, Unity Catalog, and ML Flow. • Azure Data Factory Knowledge: Experience with Azure Data Factory for data orchestration. • Clinical Data Security: Understanding of protocols and standards for securing clinical data. • Python Proficiency: Strong skills in Python (3.x), FastAPI, Pydantic, and Pytest. • SQL and Relational Databases: Knowledge of SQL, relational schema design, and PostgreSQL. • CI/CD and Containers: Familiarity with CI/CD practices and container technologies. • Data Modeling and ETL/ELT: Experience with data modeling, ETL/ELT processes, and data lakes. Why Join Us? • Innovative Environment: Be part of a team pushing the boundaries of health tech and clinical research. • Career Growth: Enjoy opportunities for professional development and career advancement. • Cutting-Edge Technology: Work with the latest tools and platforms in data engineering. • Impactful Work: Contribute to projects that make a real-world impact on healthcare and clinical research. If you are a versatile Data Engineer with a passion for health tech and innovation, we would love to hear from you. This is a unique opportunity to shape the future of clinical research with your expertise in data engineering. ???? Shape the Future of Health Tech with Us! Apply Today! ???? To find out more about Computer Futures please visit XX XX XX XX XX Computer Futures, a trading division of 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

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. In Technology, we're asking that you attend the office a minimum of 1 day per week. 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: Understand, build and develop batch/file based data data pipelines in AWS and GCP, using file transfers, REST APIs etc Build tools to monitor, report and control data pipelines Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, etc. Work with cloud-based infrastructure (GCP) for ingesting data into our warehouse Collaborate with other full stack developers and data engineers to help meet the business goals Requirements 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! Java, which makes up the majority of our backend codebase AWS & GCP - were cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!) Terraform and Grafana In addition to this core stack, this role is focused on the engineering required to maintain and warehouse a wide variety of data sources used across the bank. The technology we use is cloud based, primarily GCP. Experience with some or all of the services below would put you at the top of our list Google Cloud Storage Google Data Transfer Service Google Dataflow (Apache Beam) Google PubSub Google CloudRun BigQuery or any RDBMS Python Debezium/Kafka dbt (Data Build tool) 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 - 60 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. In Technology, we're asking that you attend the office a minimum of 1 day per week. 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: Optimising and creating development aids for data analysts and data scientists, driving developer efficiency and best practices Improve existing tooling and implement new tooling in and between AWS and GCP Building out multi-cloud Analytics and Machine Learning use cases Requirements Good knowledge of programming languages such as Python or Java. Solid understanding and practical experience with SQL and relational databases (PostgreSQL preferred). Proficiency with either AWS or GCP. Experience with Terraform to define and manage cloud infrastructure through code. Desirables: Experience in SQL-based transformation workflows, particularly using DBT in BigQuery Experience with containerisation technologies (Docker, Kubernetes). Familiarity with streaming data ingestion technologies (Kafka, Debezium). Exposure to Data management and Linux admisntration 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.

Position: Data Engineer (Python/Databricks) Location: Remote Salary: up to £80,000 + Bens Are you passionate about health tech and innovation? Do you want to be at the forefront of transforming clinical research with cutting-edge technology? If so, we have an exciting new role for you! Join our dynamic and forward-thinking team as a Data Engineer and help us build secure, scalable microservices that operationalise clinical research applications. This is your chance to make a meaningful impact on healthcare while working with some of the most advanced technologies in data engineering. About Us We are a pioneering health tech company dedicated to revolutionising clinical research through innovative data solutions. Our cross-functional team, including Frontend Developers, QA Engineers, and DevOps Engineers, collaborates to create high-performance data pipelines and REST APIs that drive AI applications and external data integrations. Your Role As a Data Engineer, you will: • Build and Optimise Data Pipelines: Implement high-performance data pipelines for AI applications using Databricks. • Develop REST APIs: Create REST APIs required for seamless external data integrations. • Ensure Data Security: Apply protocols and standards to secure clinical data in-motion and at-rest. • Shape Data Workflows: Use your expertise with Databricks components such as Delta Lake, Unity Catalog, and ML Flow to ensure our data workflows are efficient, secure, and reliable. Key Responsibilities • Data Engineering with Databricks: Utilize Databricks to design and maintain scalable data infrastructure. • Integration with Azure Data Factory: Leverage Azure Data Factory for orchestrating and automating data movement and transformation. • Python Development: Write clean, efficient code in Python (3.x), using frameworks like FastAPI and Pydantic. • Database Management: Design and manage relational schemas and databases, with a strong focus on SQL and PostgreSQL. • CI/CD and Containerisation: Implement CI/CD pipelines and manage container technologies to support a robust development environment. • Data Modeling and ETL/ELT Processes: Develop and optimize data models, ETL/ELT processes, and data lakes to support data analytics and machine learning. Requirements • Expertise in Databricks: Proficiency with Databricks components such as Delta Lake, Unity Catalog, and ML Flow. • Azure Data Factory Knowledge: Experience with Azure Data Factory for data orchestration. • Clinical Data Security: Understanding of protocols and standards related to securing clinical data. • Python Proficiency: Strong skills in Python (3.x), FastAPI, Pydantic, and Pytest. • SQL and Relational Databases: Knowledge of SQL, relational schema design, and PostgreSQL. • CI/CD and Containers: Familiarity with CI/CD practices and container technologies. • Data Modeling and ETL/ELT: Experience with data modeling, ETL/ELT processes, and data lakes. Why Join Us? • Innovative Environment: Be part of a team that is pushing the boundaries of health tech and clinical research. • Career Growth: Opportunities for professional development and career advancement. • Cutting-Edge Technology: Work with the latest tools and platforms in data engineering. • Impactful Work: Contribute to projects that have a real-world impact on healthcare and clinical research. If you are a versatile Data Engineer with a passion for health tech and innovation, we would love to hear from you. This is a unique opportunity to shape the future of clinical research with your expertise in data engineering. ???? Shape the Future of Health Tech with Us! Apply Today! ???? To find out more about Computer Futures please visit XX XX XX XX XX Computer Futures, a trading division of 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

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. In Technology, we're asking that you attend the office a minimum of 1 day per week. 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. Experience with Terraform to define and manage cloud infrastructure through code. Desirables: Familiarity with GCP. 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 - 45 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! 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. In Technology, we're asking that you attend the office a minimum of 1 day per week. 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.

Principal Software Engineer Berlin - Permanent Employee, Full-Time, Hybrid working (3 days a week on site) EUR120,000 - EUR150,000 + 20% Bonus + Holiday + Pension + Flexible Working Hours Excellent opportunity for an experienced Principal Engineer to step into a senior leadership role with broad technical influence across teams and departments, contributing to a platform that is transforming the future of healthcare through cutting-edge AI and machine learning. This company is a highly regarded spin-off from one of Europe's largest university hospitals and technical universities. Their mission is to revolutionise the diagnosis and treatment of complex diseases by combining state-of-the-art software engineering, cloud infrastructure, and ML-driven insights. With a collaborative, fast-growing team and a supportive leadership culture, they are building high-impact technology that directly affects lives. In this role, you will act as the technical right-hand to the CTO, owning architecture across multiple teams, guiding technical strategy, and mentoring senior engineers. You'll shape core platform decisions while remaining close to the technology, influencing more than 60 engineers and helping teams deliver scalable, secure, and reliable systems. The ideal candidate will be a master-level engineer with deep technical breadth, excellent mentoring skills, and experience making architectural decisions that span departments. You may have held titles such as Staff Engineer, Principal Engineer, or even CTO at a smaller company. Leadership experience is valued, but a hands-on technical expert who's worked across teams and systems is key. This is a fantastic opportunity to join a purpose-driven company where your expertise will help shape healthcare innovation at scale, while working alongside experienced engineers, data scientists, and stakeholders across disciplines. The Role: *Own and evolve the technical direction and architecture of core platforms and services *Influence 60+ engineers across multiple teams with cross-cutting technical decisions *Lead adoption of best practices across cloud infrastructure, DevSecOps, MLOps, and backend architecture *Mentor and coach senior engineers to raise engineering standards organisation-wide *Prototype solutions and work hands-on to enable technical excellence across teams *Partner with stakeholders to align engineering strategy with business and product goals *Hybrid working, 3 days a week on site in Berlin The Person: *10-15+ years' experience in software engineering, with technical leadership across teams or departments *Strong architecture and system design background in distributed, event-driven systems *Experience in cloud platforms (GCP preferred, AWS and/or Azure also welcome) and containerisation (Docker, Kubernetes) *Proficiency in Python (important), with exposure to Java, Kotlin, TypeScript, and ML frameworks like PyTorch *Ability to influence large-scale technical decisions across engineering organisations (100+ engineers) *Strong communicator and mentor, with a track record of driving best practices and technical excellence

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.

AI Evaluation Scientist Salary: £34,500 - £44,850 Location: Cambridge, Hybrid Contract: Permanent, Full Time, 35 hours per week Are you passionate about AI and data science, as well as ensuring fairness, transparency, and accuracy in AI-enhanced assessment? Are you excited about expanding language learning opportunities and contributing to the best of international practice? If so, we want to hear from you! We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. Our Applied AI team is looking for a talented AI evaluation specialist to join our expanding team of validation specialists and machine learning engineers. As an AI Evaluation Scientist , you will play a critical role in evaluating and improving our AI-enhanced capabilities. Your expertise in statistical analysis and AI evaluation will ensure that our next-generation assessment solutions meet the highest validity, fairness, and regulatory standards. This role is central to maintaining Cambridge's reputation as a global leader in AI-enhanced education and assessment. About The Role As part of our Applied AI team, you will be responsible for helping drive the evaluation of our AI-enhanced assessment technologies to ensure their accuracy, fairness, and explainability. You will work closely with validation specialists and machine learning engineers to implement robust statistical analyses and help develop innovative evaluation methods to help shape the future of AI-powered second language learning. Key responsibilities include: Conducting statistical evaluations to robustly assess the fairness, accuracy, and transparency of our AI-enhanced assessment technologies, ensuring they align with Cambridges educational assessment principles. Contributing to the development and design of validation frameworks and wider quality assurance processes to ensure AI models meet regulatory requirements and industry best practices. Identifying and applying cutting-edge AI evaluation methods, helping advance both our AI capabilities and the science of AI evaluation. Working with validation specialists and machine learning engineers to help develop next generation AI-driven educational technologies. Publishing findings in academic and industry contexts, presenting insights to both technical and non-technical stakeholders, and representing Cambridge as an expert in AI evaluation. About You We are looking for an analytical thinker with practical and theoretical knowledge of inferential statistics and AI evaluation methods who enjoys working as part of a diverse team of specialists. You will excel in this role if you have: A degree in a quantitative field (e.g., Statistics, Data Science, AI, Mathematics) or equivalent work experience, ideally with a focus on AI model evaluation. Strong theoretical and practical knowledge of inferential statistics and multivariate analysis. Practical experience of evaluating AI models using a range of methods, including methods relating to the domain of explainable AI. Proficiency in either Python or R for conducting complex statistical analyses (Python preferred). An ability and willingness to learn and apply new statistical approaches for addressing particular evaluation challenges. An ability to manage projects in a structured, deadline-driven environment, ensuring timely delivery of evaluation results. An ability to translate technical findings into actionable insights for cross-functional teams, influencing decision-making at senior levels. A strong commitment to ethical AI principles and educational fairness, aligned with Cambridges mission to expand learning opportunities for all. Desirable: Experience of evaluating AI-enhanced assessment and learning technologies. Experience of collaborating with ML engineers in the development and evaluation of AI models. Experience of assessment principles and evaluation methods. Experience of embedding standardized AI evaluation processes in an industry setting. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible , featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location . We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being Sunday 18th May 2025. You can expect to receive an update on your application and whether you have been shortlisted for interview within the following two weeks. We reserve the right to close this vacancy once we have received sufficient applications for the role. Therefore, if you are interested in this exciting opportunity, we encourage you to submit your application as early as possible. We are committed to an equitable recruitment process. As such, all applications must be submitted via our official online application form. Please refrain from sending your CV directly to our recruiters. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the website for guidance to understand your own eligibility based on the role you are applying for. Why join us Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it's safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.