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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.

It is a 12 month contract 3 days on site per week The role is based around Tipperary county with the following requirements - • AI experience (Up to date on lates trends and Technologies) • Experience in data analytics • User Interface Creation • Mapping for Alerts Commonality • Task Digitalisation /Automation • An understanding of Manufacturing processes is important (MES data BMRAM Data SAP Data Machine Data etc) • Use of Historian Databases • SAS Modules • Graph Database Technology (NEO4J) • Python Programming • Qlik Sense SAS Programming • Machine Learning (Regression analysis) If interested please could you apply with your most up to date CV. Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. 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

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 Solution Architect Position Description Challenge yourself and change lives, unlocking complex system solutions as part of a highly motivated and supportive team. Our Solution Architects are trusted to work closely with a wide range of clients on exciting projects with real-world purpose and impact. CGI was recognised in the Sunday Times Best Places to Work List 2024 and has been named one of the 'World's Best Employers' by Forbes magazine. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector. We'll train and support you in taking your career wherever you want it to go. CGI is at the forefront of artificial intelligence innovation, providing cutting-edge solutions to transform businesses. We are seeking a talented AI Solution Architect to join our team and drive the development of AI-powered solutions that meet our clients' needs. The AI Solution Architect will be responsible for designing, developing, and implementing AI solutions that address complex business challenges. This role requires a deep understanding of AI technologies, machine learning, and data science, as well as the ability to collaborate with clients and internal teams to deliver impactful solutions. Your future duties and responsibilities • Design and architect AI solutions based on client requirements and business objectives. • Collaborate with clients to gather and analyze business requirements and translate them into technical specifications. • Develop detailed solution designs, including architecture diagrams, technical specifications, and implementation plans. • Lead the implementation of AI projects, ensuring they are delivered on time and within budget. • Provide technical leadership and guidance to development and data science teams. • Ensure AI solutions are scalable, secure, and maintainable. • Conduct regular reviews of existing AI solutions to identify areas for improvement. • Stay up-to-date with the latest AI trends, technologies, and best practices. Required qualifications to be successful in this role • Proven experience as an Architect working on commercial Artificial Intelligence projects • Strong understanding of AI technologies, machine learning algorithms, and data science principles. • Excellent problem-solving and analytical skills. • Ability to communicate complex technical concepts to non-technical stakeholders. • Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure, Google Cloud). • Ability to work independently and as part of a team. #CF-1 Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because... You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.

AI Engineer / Data Scientist - Contract Position in London An exciting contract opportunity has arisen for a skilled AI Engineer / Data Scientist in the vibrant heart of London. We are seeking a dynamic individual who can harness the power of data and machine learning technologies to drive innovation and improve processes. Role Overview: • Location: London, United Kingdom • Type: Contract • Requires commuting to Dublin once a month • Sector: Technology Required Skills: • LLM (Latent Log-linear Model): Expertise in using LLM for advanced predictive modelling and analysis. • Data Bricks: Proficiency with Databricks platform for big data processing and analytics. • Machine Learning: Strong background in developing and deploying machine learning algorithms and models. • Python: Excellent coding skills in Python, particularly for data science and machine learning applications. This role is ideal for someone who thrives in a fast-paced environment and is eager to contribute to cutting-edge projects in artificial intelligence and data science. If you are ready to take on this challenging role, we would love to hear from you. Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. 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

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. The Role: BAE Systems Digital Intelligence is seeking to recruit a lead technologist to join our rapidly expanding Data and Decision Support Capability. We are looking for a candidate who is adaptable, enthusiastic and highly-motivated. You should have existing skills in the latest developments in Artificial Intelligence and Machine Learning. You are also likely to have a strong background in the mathematics, statistics and computational techniques which underpin AI/ML. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networkss; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter includes both computer vision and remote sensing application areas. What We Are Looking For As a lead technologist you will demonstrate deep expertise in at least one area of interest of the capability, but also a good level of knowledge over all areas, allowing you to assist and mentor colleagues in their everyday activities. You will have excellent written and oral communication abilities, whilst the engineering assurance activities associated with lead technologist role will require you to have the attributes of a skilled and experienced reviewer. Candidates will have the opportunity to mix technical challenges with customer-facing and project support tasks. You will engage with and undertake assurance for a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems programmes. You will also have the opportunity to maintain strong links with academic partners and to grow technical research areas of interest to you. It is common for multi-disciplinary teams to be assembled from across the capability, and also with other departments within BAE Systems Digital Intelligence and the wider BAE Systems business units. You will be expected to have the skills required to both contribute to, and to lead these teams on occasion. Typical Responsibilities: Lead technical delivery of large AI projects. Leading and assuring the preparation and delivery of technical reports, technical proposals and supporting material. Identify novel research in given topic areas, with the potential for partnership with leading UK Universities or other parts of BAE Systems. Direct research activities in key areas. Effectively present research topics to both technical and non-technical audiences in house and to external customers. Undertake technical mentoring of more junior staff. Provide engineering assurance on bids, publications and project deliverables, improving the quality of these outputs using your skill and experience. Knowledge, Skills and Experience: You will have a PhD in a relevant discipline and over ten years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. Autonomy In addition: Current right to work in the UK is essential. Ability to work in a secure environment is essential Evidence of publication in relevant journals and conferences is highly advantageous. You will have experience of previously leading R&D teams with a minimum of 5 developers. You will have experience of previously undertaking Engineering Assurance activities. Proposal writing (e.g. Dstl, NS, EPSRC) experience is essential. Benefits As well as a competitive pension scheme and 25 days annual leave, BAE Systems also offer employee share plan, an extensive range of flexible discounted health, wellbeing and lifestyle benefits including including a green care scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. 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.

Job Title: AI Instructor Location: London Salary: Competitive. Job type: Permanent, Full time. We're on a mission to provide equitable access to economic opportunity, for everyone. We close critical skill gaps in the workforce through a new kind of apprenticeship that combines work and learning. We begin by recognizing high-potential individuals both inside and outside of a company's current workforce and then we create applied, guided and equitable learning programs, with measurable impact. Because we believe the world needs a better way to match its potential. We work with over 1,500 leading companies including the likes of Microsoft, Citi and Just Eat to help solve their business-critical problems, and we've trained over 16,000 professional apprentices in the tech and data skills of the future. This is made possible by our global team who are driven to achieve a mission that matters, together. Join Multiverse and help us set a new course for work. The Opportunity: As an instructor, you will be responsible for the delivery of our technical content across our AI for Business Value and AI-Powered Productivity Programmes. You'll support our apprentices in growing their understanding of how AI can solve business problems through workshops and drop in sessions. You will help apprentices develop knowledge relating to the appropriate KSBs throughout their programme. The Multiverse delivery team is a diverse mix of industry experts, educators, and academics, working together to build the future of work. You will be part of this team, reporting to a Delivery Lead who will guide your development. To ensure a strong start, you will complete a 3-week onboarding programme, covering: Modern teaching methodologies for a hands on, engaging learning experience Technical upskilling to align with the relevant apprenticeship standard Practical coaching opportunities a rigorous, robust feedback process to get you ready to launch your programme At the end of onboarding, you will be ready to support Multiverse apprentices, helping them develop technical expertise and industry-relevant skills relating to AI and Data domains and drive impact within their businesses. We believe this is an opportunity like no other! Specifically, you will: Confidently facilitate delivery sessions of our technical Learning content, ensuring the session delivers against learning objectives within the allotted time. Adhere to the Coach Quality framework to ensure a consistent level of quality for every session and a consistent experience for every apprentice. Create a vibrant, inclusive and motivating environment that drives apprentice learning, engagement and overall satisfaction. Moderate assignments in line with mark schemes to ensure quality and consistency while providing feedback and feed forward for apprentices to continually develop their technical and durable skills. Maintain an owners mentality, whether assigned a learner or in support of other coaches, being proactive in taking action, sharing feedback, or providing support to ensure the progress and success of learners. Utilise resources & learning opportunities provided by Multiverse, stay up to date on knowledge, learning and product updates, to ensure you are equipped to support your apprentices. Create a compelling narrative about Multiverse, our mission and the pillars of our offering. Help apprentices connect to it through the duration of their apprenticeship and beyond. About you: You possess strong written and on camera communication and presentation skills. You can skillfully adjust communication approaches to explain complex concepts to technical and non technical stakeholders. You have industry experience of applying AI to create ROI in a business context. You are a seasoned professional with a minimum of 2 years of relevant experience; ideally in AI, Software Development or Business Analysis roles. You have exceptional written and on camera communication and facilitation skills, with proven ability to engage business audiences, including leaders. You are passionate about developing others skills and strongly align with Multiverses mission to create equitable access to economic opportunity. Benefits: Time off 27 days holiday, plus 7 additional days off: 1 life event day, 2 volunteer days and 4 company wide wellbeing days and 8 bank holidays per year Health & Wellness private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Gympass and access to Spill all in one mental health support Hybrid & remote work offering with monthly visits to the London office and the opportunity to work abroad 45 days a year Team fun weekly socials, company wide events and office snacks! Please click APPLY to be redirected to our website to complete an application form. Candidates with experience or relevant job titles of; AI Trainer, Prompt Engineer, AI Research Scientist/Engineer, AI Knowledge Engineer, AI Specialist, AI Software Developer, AI Business Analysis, will all be considered.

Senior Data Technology Consultant Position Description Challenge yourself, change lives and help shape the UK's digital revolution. We look to our Business Consultants, to drive change, inspire trust with clients, and take responsibility for some of the world's most ambitious transformation projects. As a Senior Data Technology Consultant within our successful Business Consulting practice, you, alongside a collaborative team of consulting colleagues, will take a central role in providing support to our clients with a focus on driving their business outcomes using data and technology. You will also support the growth of the wider evolving business consulting function. A key focus of the role will be to deliver practical advice to clients relating to their enterprise data technologies and strategies whilst looking out for opportunities to support them further leveraging our wider skillsets, propositions, and IP. You will work across the Business Consulting and Technology Advisory Practice to generate pull through of CGI services at scale across the UK. This is a Senior Consultant role and the successful candidate will be responsible for working with others to shape, manage and deliver consultative engagements with clients. You will form part of a revenue-generating team. CGI was recognised in the Sunday Times Best Places to Work List 2024 and has been named one of the 'World's Best Employers' by Forbes magazine. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. This role will be based out of London Offices, but this is a hybrid role where you can also work from home a few days per week. We expect you to travel 2 days per week to CGI/client site (on average). Your future duties and responsibilities • Lead and deliver large-scale strategic data technology projects, helping clients navigate complex data transformations. • Provide high-quality consulting services to clients, presenting technical concepts in simple, accessible language. • Leverage your deep understanding of legacy and cloud-based data technologies, including Data Lake, Data Warehouse, and Lakehouse concepts. • Bring broad technical knowledge of Azure data products, with subject matter expertise in areas like Azure Data Factory, Microsoft Fabric, and others. Ideally, hold relevant Azure data tooling certifications. • Drive efficiencies across the data lifecycle, advising on critical data handling considerations from a technology perspective. • Support the growth and development of our business consulting team, contributing to the team's ability to deliver cutting-edge solutions. • Build strong relationships with stakeholders, both within large-scale organisations and on the consultancy side, helping clients achieve their strategic objectives. • Utilise your experience with data modelling to guide clients in optimising their data architectures and improving data flow across systems. Required qualifications to be successful in this role • Advising on architecture solutions and design. • Experience of owning Data solutions on hyperscalers Azure as a minimum but AWS or GCP also desirable. • Owning parts of high-quality client deliverables or solutions. • Leading client meetings, interviews and/or workshops. • Supporting complex transformation projects. • Experience in taking ownership of Solution Architecture. • Data and AI Strategic Roadmaps. • Data Cataloguing. • Data and AI Governance. • Data Workflow Optimisation. • Defining and Building Business Insight Solutions. #LI-MW2 Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because... You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.

Are you a dedicated person who is passionate about making a difference? Would you like to work for the Ministry of Defence? Are you ready to shape how the Ministry of Defence (MOD) is designed and is operated, directly enabling the defence of the UK? The MOD is seeking an exceptional and experienced professional for one of MOD's top strategic priorities; Corporate Services Modernisation. Corporate Services are critically important for the 250,000 people working across Defence to do their day-to-day jobs. For example, every time the department procures military equipment, personnel receive their monthly pay or request their vacation, they are using Corporate Services. As part of the wider government Shared Services Strategy, MOD has established the Corporate Services Modernisation (CSM) portfolio to drive Human Resources, Commercial and Finance policy, process, organisational, data and systems transformation. (More information on the Shared Services agenda can be found through this link: A Shared Services Strategy for Government - GOV.UK ([-hidden link-)]-hidden link-)). Our ambition is to revolutionise MOD corporate services to: Improve the user experience by simplifying our policies and processes, ; providing easier and better interfaces to systems and self-service and; making services more responsive and providing easy access to help. Deliver better data driven decision making by introducing and fully exploiting the latest Oracle Enterprise Performance Management (EPM), Enterprise Resource Planning (ERP) and Human Capital Management (HCM) technology; improving visibility, accuracy and accessibility of management information across defence; and, using integrated data analytics and Artificial Intelligence (AI) to inform decision making. Improve Productivity and Efficiency by automating transactional processes ; expanding and improving MODs shared service centre operations; and, reducing MODs overall corporate services spend to maximise our reinvestment into the front-line. DBS has recently undertaken a review of its operational locations in the North West, and have consolidated all activities in Norcross, Blackpool. A further move, to the new Government Hub at Talbot Gateway in Blackpool, is scheduled to take place in 2026. Come and join the DBS community today! -hidden link- Job description The Ministry of Defence is moving its core HR systems to a Software as a Service (SAAS) Oracle Fusion platform. The Civilian population's HR services have already transitioned to SAAS solution however, CSM (specifically the Defence HR Services (DefHRS) project) has been established to transform MoDs offering to a whole force solution. CSM is looking for an experienced software developer to support the DefHRS project's discovery phase, lead the design and development of the solution and provide enduring support and change through-life. The CDS-DefHRS Application Lead position will be responsible and accountable for the delivery of the DefHrs HR Application, specifically: Discovery; Acting as Subject Matter Expert (SME) you will be expected to work alongside our delivery partner advising, supporting, directing, driving the team to deliver high quality discovery products eg designs, options assessments, plans etc. Implementation Team mobilisation will also be a key part of this phase (recruit, build and upskill). Implementation: As the Application lead you will be expected to manage our Delivery Partner and internal team to develop, configure, unit test, document, support testing and ultimately deliver the solution into the live environment. Support: As the Application lead, you will be expected to manage our Delivery Partner and Internal teams to provide early life support/hypercare to the delivered DefHRS solution. Enduring support: The successfully candidate will be expected continue and manage the internal team to provide through life support and change management. Person specification The successful candidate will be able to demonstrate: A strong development background in SAAS Oracle Fusion with a proven track record of delivering change and support. A good understanding of MODs Corporate HR Service, processes, structures and systems or Corporate Service arrangements of similar complexity in the wider public or private sectors would be advantageous Great communication and team working skills Behaviours We'll assess you against these behaviours during the selection process: Leadership Changing and Improving Communicating and Influencing Delivering at Pace Technical skills We'll assess you against these technical skills during the selection process: DDAT - Lead Developer - Modern Standards DDAT - Lead Developer - Programming and build (software engineering) DDAT - Lead Developer - Systems design DDAT - Lead Developer - Systems integration

The Government Digital Service (GDS) is the digital centre of government. We are responsible for setting, leading and delivering the vision for a modern digital government. Our priorities are to drive a modern digital government, by: joining up public sector services harnessing the power of AI for the public good strengthening and extending our digital and data public infrastructure elevating leadership and investing in talent funding for outcomes and procuring for growth and innovation committing to transparency and driving accountability We are home to the Incubator for Artificial Intelligence (I.AI), the world-leading GOV.UK and at the forefront of coordinating the UK's geospatial strategy and activity. We lead the Government Digital and Data function and champion the work of digital teams across government. We're part of the Department for Science, Innovation and Technology (DSIT) and employ more than 1,000 people all over the UK, with hubs in Manchester, London and Bristol. The Government Digital Service is where talent translates into impact. From your first day, you'll be working with some of the world's most highly-skilled digital professionals, all contributing their knowledge to make change on a national scale. Join us for rewarding work that makes a difference across the UK. You'll solve some of the nation's highest-priority digital challenges, helping millions of people access services they need Job description You will be part of the Data Directorate at an exciting time as we gear up to deliver on the vision for modern digital government. Data is the driving force of the world's modern economies, and central to helping us tackle some of society's biggest challenges. We are delivering a programme of work to improve the way we use data in government through implementing standards, frameworks and tools that increase data quality, trust, security, privacy and interoperability. We need great people to make it happen. One of areas of focus is supporting our programme delivery with effective governance, communications and engagement with our key stakeholders. For this we need a creative individual who can think on their feet, solve problems and build collaborative relationships across the organisation and across Whitehall. As a Data Engagement Lead you'll work directly with the Head of Data Portfolio, working across all areas of the team: lead on Engagement with other government departments and wider DSIT for Data Policy development provide oversight of our governance groups (including the Chief Data Officers Council and the Data and Technical Architecture Design Authority), ensuring there is strong alignment with wider departmental governance structures create an Engagement plan and develop strategic relationships to align the teams roadmap of work with wider government strategy and departmental programmes identify opportunities to allow us to test and develop policy and guidelines. work flexibly and collaboratively on a range of projects where your expertise and skills are needed and support a culture of agile working across your team Person specification We're interested in people who have: excellent communication and writing skills the ability to balance changing priorities, deal with ambiguity, using astute judgement to make decisions in the absence of full facts significant experience of building and maintaining effective relationships, and using a variety of channels to get the best results experience of working with multiple stakeholders across a large and diverse audience experience of communicating to data expert and non-technical audiences and producing briefings and presentations experience in handling both quantitative and qualitative evidence to make decisions experience of taking the initiative to solve problems, and and deliver results collaboratively, but independently an understanding of HMGs data agenda and how this fits into the broader digital strategy

Job Description Project Manager with Digital Banking Operations and Artificial Intelligence AI We are seeking a Project Manager with Digital Banking Operations and Artificial Intelligence (AI) Projects experience to join our Client a bank based in Central London. This is a full-time role located in London, with flexibility for some remote work. As an AI project manager, you be responsible for overseeing and managing the implementation of AI projects within our digital banking operations. You will collaborate with cross-functional teams to define project goals, develop project plans, allocate resources, track progress, and ensure timely and successful delivery of projects. Experience and Qualifications • Previous experience in project management, preferably within the banking or financial services industry • Strong understanding of digital banking operations and Artificial Intelligence AI technologies • Proven track record of successfully delivering complex projects on time and within budget • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams • Strong problem-solving and decision-making abilities • Knowledge of agile project management methodologies • Experience with data analysis and reporting • Ability to adapt to changing priorities and work well under pressure • Project management certification (e.g., PMP) is a plus • Bachelors degree in a relevant field Areas to Consider 1. Customer Service Enhancement • Chatbots and Virtual Assistants: Deploy AI-driven chatbots to handle routine inquiries, provide 24/7 support, and reduce wait times. • Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention • Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. • Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation • Credit Scoring: AI can evaluate creditworthiness more accurately by analyzing a wider range of data points. • Document Verification: Automate the verification of documents submitted for loan applications, speeding up the approval process. 4. Personalized Banking Services • Customer Insights: Leverage AI to gain insights into customer behaviour and preferences, allowing for personalized product recommendations. • Marketing Campaigns: Use AI to target customers with tailored marketing campaigns based on their transaction history and preferences. 5. Risk Management • Risk Assessment: AI can analyze market trends and economic indicators to provide early warnings about potential risks. • Compliance Monitoring: Automate compliance checks and monitoring to ensure adherence to regulations and reduce the risk of non-compliance penalties. 6. Operational Efficiency • Process Automation: Use robotic process automation (RPA) to handle repetitive tasks such as data entry, account reconciliation, and report generation. • Workflow Optimization: AI can optimize workflows by identifying bottlenecks and suggesting improvements. Implementation Strategy • Assessment: Evaluate the current state of digital banking operations and identify areas where AI can add value. • Pilot Projects: Start with pilot projects to test AI applications in a controlled environment. • Scalability: Ensure that AI solutions are scalable and can handle increasing volumes of data and transactions. • Employee Training: Train staff on AI tools and their applications to ensure seamless integration. • Continuous Improvement: Regularly update AI models and algorithms based on new data and evolving business needs. Challenges and Considerations • Data Quality: Ensure high-quality data for accurate AI predictions and analysis. • Regulatory Compliance: Stay compliant with financial regulations while implementing AI solutions. • Customer Trust: Maintain transparency in AI-driven decisions to build and maintain customer trust. • Integration: Seamlessly integrate AI with existing banking systems and processes. The main emphasis of this position to is harness the data from a variety of data tables at the bank and collate a Data Lake from which to extract a variety of AI reports to increase the banks customer strategy. By strategically implementing AI in these areas, a Digital Banking Operations Manager can greatly improve the efficiency, security, and customer satisfaction in digital banking operations. The position will be hybrid 3 days a week in the office. The salary is negotiable depending on experience but probably in the range £80K - £120K plus benefits. Do send your CV to us in Word format along with your salary and notice period.

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

Presales Consultant - Azure, Data, AI - £70,000 - £80,000 + 10% bonus Looking to move into a Presales focused role?Want some of the best training opportunities available?Interested in working for one of the top Microsoft Partners in the country? This role requires experience and understanding of Presales Solution Architecture OR someone who has been in engineering looking to take the step up. If you haven't done Presales before, its imperative you've been customer facing and have a consultative approach to dealing with customers. Tech Azure Synapse Azure Databricks Microsoft Fabric Microsoft Power BI Microsoft Purview MDM solutions Integration solutions Data Virtualisation solutions. Your Responsibilities (don't need them all but a desire to learn) Consultative approach with customers Ability to hold a room and have tech conversations with tech and non technical people Design & Implementation (the more experience you gain, less delivery you do) Pre-sales Chalk and Talks Must have "front foot" attitude towards learning, development Can demonstrate initiative, resourceful, highly self-motivated, and goal orientated An intelligent, analytical, and pragmatic approach to problem-solving Please hit the button to Apply and/email or call Jimmy Hearne at InfraView on [Telephone number removed] for further info If this role is not for you, please Register with us, let us know your preferences, and will be in touch when the right role comes in

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

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.