79 jobs found

Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

We're looking for a Senior Capital Analyst / Data Scientist who wants to move beyond regulatory reporting and use analytics, automation, and modelling to drive real commercial and underwriting decisions across a business serving 10 million customers. You'll sit at the intersection of capital, underwriting, and data science shaping how the capital model is used, building intelligent workflows, and click apply for full job details

Radiological Instrumentation Specialist Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: 38,020 - 50,000 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Ready to play your part? At AWE, it's not just a job, it's far more than that. Our shared purpose is to help keep the nation safe. Could this role be the opportunity for you to play your part? The Radiological Instrumentation & Calibration (RI&C) group deliver a comprehensive capability in the fields of conventional and radiological metrology. The position is within the instrument calibration and repair team, with connections to the wider radiation metrology field. The team is responsible for processing several thousand calibrations per year using specialised equipment. As a Radiological Instrumentation Specialist, you will be required to work as part of a small team of scientists responsible for the technical underpinning of the calibration services, working under the established Technical Leads. Responsibilities include: Contribute to the delivery of key services provided by RI&C by: Provision of regulatory testing and calibration of ionising radiation instrumentation Work towards appointment as a Qualified Person (QP) under the Ionising Radiations Regulations 2017 (IRR17) Evaluation of new radiological instrumentation Supervision of periodic calibrations Training of staff Compliance monitoring of calibration systems by: Validation against relevant standards Maintenance of traceability to (inter)national standards Carrying out internal audits Providing updates to senior colleagues on status of work via briefings / presentations / reports, with recommendations Building/maintaining excellent working relationships with industry peers by: Attend and be part of working groups which review and comment on relevant British / international standards and UK Good Practice Guides Internal Ministry of Defence community of practice Industry conferences and meetings UKAS assessments Preparation and maintenance of internal and external documentation including scientific reports, process instructions and training materials Advising stakeholders from varying technical backgrounds, including support in addressing customer complaints / technical queries Support team leaders, other process owners and other AWE technical experts as required Who are we looking for? We do need you to have the following: Self-motivation and initiative to continually drive own progress, taking responsibility to propose and implement solutions Physics degree or equivalent Ability to analyse scientific, technical and operational problems Ability to interpret and apply relevant BS, ISO and IEC standards Good interpersonal and written communications skills, able to use the appropriate style and method for a wide range of situations and media Enthusiasm for the subject with the ability to enthuse others Understand, and commitment to, equality of opportunity and good working relationships Hold, or be willing and able to attain, Developed Vetting (DV) security clearance Whilst not to be considered a tick list, we'd like you to have experience in some of the following: Planning and implementing challenging projects, project management principles, techniques, and tools Knowledge and understanding of the principles, methods, challenges, standards and legislation associated within ionising radiation metrology Working in an ISO 17025 accredited lab environment Delivering formal lectures and training Working in a customer facing team that delivers technically complex services in an area with stringent technical requirements Working in an auditor role Work hard, be rewarded: We ask a lot and set the bar high because our work truly matters. In return we offer balance, with award winning benefits including: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'. Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston.

Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function

Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function

Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.

Job title: Senior Data Scientist Locations: Manchester or Haywards Heath (hybrid working) Markerstudy Group are looking for a Senior Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. The majority of business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing and machine learning teams to provide insight across the business Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market Identify and create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other teams to analyse and identify improvements to risk modelling and wider business challenges Use a wide range of data science and statistical techniques Research and leverage new and existing internal and/or external data sources Communicate results to key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient implementation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field or Degree with number of years of relevant experience Previous experience within data science Experience in insurance pricing and modelling Experience and detailed technical knowledge of GLMs /Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Driven to deliver iterative improvements in a timely fashion Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude

Talent STEM are partnering with an innovative scientific organisation operating within the analytical testing and laboratory services sector to recruit a Chemistry Technician for their laboratory team on an initial 6 month contract. This is an excellent opportunity for a recent graduate looking to begin their career within a laboratory environment. The organisation provides specialist analytical services to a diverse range of industries and offers structured training, professional development and long-term career progression opportunities. The role would suit somebody who has recently completed a degree in Chemistry, Forensic Science or a related scientific discipline and is looking to gain valuable hands-on laboratory experience within a commercial setting. Key responsibilities - Preparing samples for chemical analysis - Supporting laboratory testing activities in accordance with established procedures - Operating and maintaining laboratory instrumentation and equipment - Recording, reviewing and reporting analytical data accurately - Assisting with method development and laboratory investigations where required - Ensuring compliance with laboratory quality standards and procedures - Supporting routine laboratory housekeeping and stock control activities - Following health and safety procedures and maintaining a safe working environment - Working closely with senior scientists and laboratory personnel to support project delivery Candidate profile We are interested in speaking with candidates who have: - A degree in Chemistry, Forensic Science or a related scientific discipline - Full right to work in the UK without current or future sponsorship requirements - A genuine interest in analytical chemistry and laboratory-based work - Strong attention to detail and organisational skills - Good written and verbal communication skills - The ability to work effectively both independently and as part of a team - A proactive approach and willingness to learn new techniques and processes - Previous laboratory experience gained through university projects, placements or industrial experience would be advantageous but is not essential Graduates from Chemistry, Forensic Science, Pharmaceutical Science, Analytical Science, Biochemistry and related disciplines are encouraged to apply. This is an excellent opportunity to join a growing scientific organisation offering comprehensive training, exposure to advanced laboratory techniques and genuine opportunities for long-term career development. Please note that applicants must have the unrestricted right to work in the UK. Sponsorship is not available for this position. For further information or a confidential discussion, please contact Talent STEM. Talent STEM is a specialist recruitment consultancy supporting the scientific, engineering, clinical, chemical, pharmaceutical, FMCG, environmental, waste, biotechnology and medical device sectors.

A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways, the sky is never the limit. The role Product Change Manager As a Product Change Manager within Operations Delivery Intelligence, you'll work in close partnership with operational leaders to rethink processes, embed data-driven decision-making and deliver operational resilience through data-led solutions. This is a hands-on role at the intersection of product, change and operations. You'll shape product vision and roadmap, translate operational needs into technical delivery, and lead the change management activities required to ensure new decision-support tools are adopted and delivering measurable value. What you'll do Craft the product vision and roadmap for decision-support tools within the Operations Decision Support portfolio Partner closely with operational stakeholders to understand business challenges and identify opportunities for improvement Act as the bridge between operational needs and technical delivery, translating business requirements into clear technical specifications Support prioritisation and delivery of product features, working closely with data scientists and software engineers Design product features and underlying business logic to ensure solutions are practical, usable and impactful Develop and execute change management approaches including communications, training and engagement Produce clear updates and materials to support stakeholder alignment and decision-making Support assessment of business cases and track the value delivered by digital tools Define and track product KPIs to measure adoption, performance and impact Champion a data-led, user-focused approach to operational decision-making, influencing cultural and process change What you'll bring to British Airways Strong hands-on experience working in complex operational or delivery environments Confidence engaging with both operational stakeholders and technical teams Strong analytical and problem-solving skills, able to structure ambiguous problems and develop pragmatic solutions Clear, adaptable communication skills, able to engage audiences from frontline operators to senior leaders Strong stakeholder management capability with a collaborative, collegiate approach Ability to prioritise effectively across multiple workstreams Ownership mindset with the confidence to drive product and change activity independently Delivery-focused, resilient and adaptable approach Your experience Background in data science, ML, or operational research, or 4+ years of highly relevant industry experience (required) 3-4 years of top tier management consulting or product in MANGO (required) 4-6 years of experience in project / programme management, with demonstrated experience of delivering value at scale in complex org Masters level in management or equivalent industry Experience in relevant business domains (transportation, airlines, operations, network problems) and technical programs What we offer We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.

Would you like to guide a charity research funder with a century-long legacy into its next transformative chapter? As an independent charity and the fundraising and research partner of the Medical Research Council, we have the freedom to fund any health condition, anywhere in the world. We currently support £34m in ongoing research and will invest £35m more by 2029, focusing on the conditions that have too often been overlooked, and the researchers who will shape the breakthroughs of tomorrow. Our current CEO is stepping down after building a strong and stable foundation, and we are looking for the right person to carry that work forward. As CEO, you will lead us through the next stage of our growth, deepening our research impact, broadening our partnerships, and developing the strategy that will take us to 2034 and beyond. We are looking for a leader to be the public voice of the Foundation: championing the value of medical research, cultivating relationships with donors and funders, and ensuring that our grants reach the scientists best placed to make a difference. You will work alongside a talented executive team, a supportive Board of Trustees, and a global community of researchers whose work we are genuinely proud to fund. You will have a genuine understanding of medical research and a deep belief in what it can achieve. You will bring senior leadership experience from a research funding organisation or a closely related environment, along with a track record of leading organisations through growth and change. We are looking for a natural relationship-builder - able to inspire donors, engage researchers and work constructively with partners across the sector. You will have the financial and governance experience to lead a complex charity with confidence, and you will be motivated, above all, by the chance to give real hope to people whose health conditions have been neglected for too long. For more information and to apply, please visit: Closing Date: Monday 8 th June 2026

Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers

Following our recent transition to the Royal College of Pharmacy we are looking to appoint a Director of Strategic Communications and Engagement to provide leadership and delivery of our communications, brand and member engagement strategies. This appointment comes at a pivotal time for the college, as we build on our strong foundations and further establish ourselves as the recognised professional home for pharmacy. This is an exciting opportunity to join the new executive team and to build trust, deepen the connection and position the college as a powerful champion for the profession and its members, and through them, patients and the public. Key Accountabilities: Develop and lead the college s integrated communications strategy across all channels. Ensure the college has a strong and influential voice, with powerful messaging that resonates with its members, pharmacy professionals, government, public and other stakeholders. Lead a clear engagement strategy to improve member experience, acquisition, retention, and satisfaction. Safeguard and strengthen the college s brand, ensuring consistent messaging and positioning across all channels and safeguarding the use of the brand with partnership arrangements. Shape and contribute to the development and delivery of the college's overall strategy as a member of the executive Team. Person Specification: Executive level leadership and team management experience gained in a complex, public or third sector organization, ideally within a membership body or royal college and/or with healthcare experience Proven track record of developing and implementing communications and engagement strategies that drive measurable membership and income growth Experience of strategy development, implementation and evaluation, ideally as part of a senior leadership team, translating the outcomes into a communications strategy and supporting the organisation to monitor impact. Ability to convert organisational goals into clear communications and engagement strategies. About the Royal College of Pharmacy: The Royal College of Pharmacy is the professional leadership body for pharmacists and pharmaceutical scientists in Great Britain. We support pharmacists in their education and development, promote pharmacy in the media and government and lead the way in medicines information across Great Britain and around the world. Our mission is to put pharmacy at the forefront of patient care, advancing the safe and effective use of medicines to the benefit of patients and the public. How we are currently working: The college supports and works in a hybrid way, which means you will be able to work from home, however, there will be an expectation for collaborative face-to-face working on average and typically this may be something between 4-8 working days per month.

Are you looking for an exciting opportunity to join a friendly and ambitious team who are always finding new ways to drive better use of data, right in the heart of central government? If so, we'd love to hear from you ! About the Team The NISTA Data & Insight Team brings together data scientists, engineers, analysts and digital professionals who genuinely care about learning from each other, sharing ideas and making things happen. Together we turn rich, high-value project data into analysis, insights and tools that support people across government, from project delivery teams to senior leaders in HMT, the Cabinet Office and No10, to make decisions that shape how the UK delivers its biggest and most complex projects. Working with the Government Major Projects Portfolio, the 10-year Infrastructure Pipeline and other project delivery data, your work will directly influence how major programmes are planned, delivered and improved. Over the last two years, the team has undergone a significant transformation, digitising large-scale project data collection and overhauling our digital and data infrastructure. This enables us to create high-impact dashboards and analytics as well as drive the development of AI tools. It means we can develop and share quickly, resulting in rapid iterative development with our users. And we continue to evolve, improve our capability and develop our skills. You'll be joining a supportive, inclusive and collaborative environment, where you can grow your skills, tackle meaningful challenges and make a real impact on the future of government delivery. About the Job In this role, you will: Design, build and evolve secure, well governed cloud data platforms and pipelines that reliably support complex analytical and operational needs. Provide strong technical leadership to the team, including setting direction, reviewing critical code, mentoring engineers and upholding high engineering standards. Define and enforce standards for data engineering, pipeline development and deployment to ensure platforms are scalable, maintainable and safe to change. Take hands on ownership of the most complex or high risk areas of the data platform to resolve issues, improve performance and reduce operational risk. This includes being fully across potential data security risks. Work closely with analysts, data scientists and infrastructure colleagues to shape robust technical designs that enable high quality analysis and insight. Act as a trusted technical adviser to senior stakeholders, clearly explaining options, risks and trade offs relating to data infrastructure, security and compliance. Drive continuous improvement in data services, improving quality, resilience and user experience for users and cross government partners. Design and create accessible data engineering solutions that can be utilised and understood by the wider team of analysts and scientists Build a high performing, motivated team by fostering a culture of learning, experimentation and professionalism, and by being an effective, supportive line manager. About You This role requires someone who can operate at pace across strategy and delivery, leading by example through hands on technical expertise while developing others and enabling the organisation to make effective, responsible use of modern data engineering by clearly explaining technical risks, options and trade-offs to senior stakeholders. Some of the Benefits our people love! Generous Annual Leave - 25 days (rising to 30 after 5 years), plus public holidays and the King's birthday. Outstanding Pension Scheme - Defined Benefit pension with employer contributions of 28% Parental Leave Packages - Including 6 months' occupational pay for maternity/adoption, shared parental leave options. Flexible & Hybrid Working - Options include part-time, job-share, compressed hours, flexitime, and hybrid working (where business needs allow). Advance Schemes & Discounts - Rental deposit, cycle-to-work, SmartTech, season ticket loans, and access to HM Treasury's benefits portal for a wide range of discount codes. For more information about the role and how to apply, please follow the apply link. If you need any reasonable adjustments to take part in the selection process, please tell us about this in your online application form, or speak to the recruitment team at .

Science Graduate Teacher Training Opportunity (Biology, Physics, Chemistry or General Science) Location: Sutton, South London Contract: Full-Time, Permanent Start Date: September 2026 Salary: £28,000 - £32,000 per annum (depending on academic background, experience and training pathway) Are you a high-achieving Biology Graduate , Physics Graduate , Chemistry Graduate or Science Graduate considering a rewarding career in teaching? An outstanding and highly respected secondary school in Sutton is seeking exceptional graduates to join its fully supported Initial Teacher Training (ITT) Programme from September 2026. This is an exciting opportunity for an ambitious Biology Graduate , Physics Graduate , Chemistry Graduate or Science Graduate to train as a teacher within a thriving school environment while gaining invaluable classroom experience and working towards Qualified Teacher Status (QTS). This school has an excellent reputation for developing outstanding teachers and offers a structured pathway into the profession through comprehensive mentoring, training and professional development. About the School Located within the desirable borough of Sutton, this high-performing secondary school is renowned for its strong academic outcomes, excellent student behaviour and commitment to educational excellence. The school prides itself on creating a culture of high expectations, aspiration and achievement, where both students and staff are encouraged to realise their full potential. Staff work collaboratively within a supportive and professional environment, and leadership is deeply committed to investing in teacher development at every stage of their careers. The Science department is a particular strength of the school, delivering outstanding outcomes across Biology, Chemistry and Physics. Students are enthusiastic learners who engage positively with the curriculum, allowing teachers and trainees to focus on delivering inspiring and impactful lessons. The school benefits from excellent transport links across South London and Surrey, making it easily accessible for graduates travelling from London and the surrounding areas. The ITT Programme This fully supported Initial Teacher Training Programme is designed for graduates who are passionate about their subject and eager to inspire the next generation of scientists. As a trainee teacher, you will receive: A structured route towards Qualified Teacher Status (QTS). Expert mentoring from experienced Science teachers and senior leaders. Weekly professional studies and training sessions. Gradual classroom responsibility as your confidence develops. Regular lesson observations and constructive feedback. Access to outstanding teaching resources and facilities. Ongoing support throughout your training year and beyond. A clear pathway into a long-term teaching career. The programme combines practical classroom experience with high-quality teacher training, allowing trainees to develop the skills, knowledge and confidence required to become outstanding classroom practitioners. Who the School Is Looking For The school is keen to hear from exceptional graduates who possess: A First-Class or 2:1 degree in Biology, Physics, Chemistry or a related Science subject. Strong academic credentials throughout their education. Excellent GCSE and A-Level results. A genuine passion for Science and education. Strong communication and interpersonal skills. The ability to inspire and motivate young people. Commitment to a full-time, permanent role from September 2026. A desire to build a long-term career within teaching. Applications are particularly welcomed from graduates of leading universities, including Russell Group institutions, although outstanding candidates from all universities will be considered. Whether you are a Biology Graduate , Physics Graduate , Chemistry Graduate or broader Science Graduate , the school is looking for individuals who can bring enthusiasm, subject expertise and a commitment to helping students succeed. Why Complete an ITT Programme? Undertaking an Initial Teacher Training Programme provides an excellent foundation for a successful teaching career. Benefits include: Achieving Qualified Teacher Status (QTS). Earning a competitive salary of £28,000 - £32,000 whilst you train. Developing highly transferable leadership and communication skills. Gaining hands-on classroom experience from day one. Accessing ongoing professional development and career progression opportunities. Making a genuine difference to young people's lives. Joining one of the most rewarding and respected professions. Excellent long-term career prospects within education. Many trainees who complete the programme progress into permanent teaching positions within the school, benefiting from continued support throughout their Early Career Teacher (ECT) years. What the School Offers Full-time permanent training opportunity from September 2026. Competitive graduate salary of £28,000 - £32,000 per annum . Outstanding support from experienced mentors and subject specialists. Exceptional Science department with strong examination results. Excellent facilities and resources. Structured pathway to Qualified Teacher Status (QTS). Professional and collaborative working environment. Strong leadership team committed to staff development. Outstanding career progression opportunities following successful completion of training. Apply Today The school is actively shortlisting exceptional graduates and interviewing candidates immediately. If you are a talented Biology Graduate , Physics Graduate , Chemistry Graduate or Science Graduate looking to begin a rewarding career in education through a highly regarded ITT programme, we encourage you to apply as soon as possible. Suitable applicants may be invited to attend an interview and trial lesson immediately, with places on the programme expected to fill quickly. Apply today to secure your interview or trial lesson and take the first step towards an exciting and fulfilling teaching career.

Help build the world's first automated "airlock" for health research environments. At UK Biobank, we're developing new technologies that will help researchers securely work with some of the world's richest biomedical datasets. This role sits within a team building what is believed to be the world's first automated output checking system for trusted research environments using AI and cloud-native technologies to help ensure researchers can only export files regarded as safe. It's a genuinely greenfield engineering challenge, combining AI-driven approaches, secure cloud-native architecture, and modern full-stack development to support global health research. Can you do it? You'll play a leading role in the development, integration, and delivery of UK Biobank's Automated Output Checking System, helping shape a platform that supports secure research at a global scale. Working closely with architects, researchers, vendors, and internal engineering teams, you'll help design and build scalable integrations across research platforms and cloud-native services. This role combines hands-on engineering, technical leadership, and modern platform design, requiring someone who can work confidently across backend services, frontend applications, infrastructure, APIs, and cloud environments. The solution applies AI techniques, follows cloud-native principles, and is being built from the ground up giving you the opportunity to influence both architecture and technical direction. You will be responsible for: Ensuring integration patterns align with enterprise architecture principles, including event-driven, API-first, and microservices-based approaches. Designing and developing scalable, secure, cost-efficient and maintainable full-stack applications using Python (backend) and TypeScript (frontend), including relational and non-relational database management systems on AWS. Developing responsive and accessible user interfaces using modern frontend frameworks (e.g., React with TypeScript) Developing and manage infrastructure using Infrastructure as Code (Terraform), ensuring reproducible and auditable environments Develop CI/CD pipelines to enable continuous integration, testing, and deployment. Ensuring systems are designed with observability, logging, and monitoring to support operational excellence. Is this you? To be successful, you will have experience in: Full-stack software development within enterprise environments Backend development using Python frameworks such as FastAPI, Flask, or similar Frontend development experience using TypeScript and modern frameworks such as React or Vue AWS services (e.g., IAM, S3, Lambda, ECS/EKS, API Gateway, Step Functions) Microservices architecture and distributed systems Designing and consuming secure APIs with CI/CD pipelines and DevOps tooling Working hours are 35 hours per week, Monday to Friday, with some flexibility, 2 days onsite with hybrid working available. Located in Greater Manchester (initially based in Stockport with a move to Manchester Science Park mid to late 2026). Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long-term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson so we can support you. Your well-being matters to us Our wellbeing score on Indeed is rated as 77% (High), reflecting how people experience working here day-to-day. Colleagues often highlight a strong sense of purpose, supportive team culture, and the opportunity to grow. There's a real focus on learning, flexibility, and feeling valued, whether that's developing new skills, contributing ideas, or building a career within Data & Technology. Benefits ️ 26 Days' Annual Leave - Plus Bank Holidays Holiday Buy Scheme Birthday Leave USS Pension Scheme Healthcare Cash Plan Enhanced Family Leave Cycle to Work Scheme Season Ticket Loan Professional Subscriptions £500 annual training budget ️ Free On-Site Gym ️ Subsidised Canteen Lunches Free Car Parking ️ Employee Discounts Portal Employee Assistance Programme Annual Flu Vaccination ️ Life Assurance Cover About UK Biobank UK Biobank is a large-scale biomedical database and research resource containing in-depth genetic and health information from half a million UK participants. The database, the largest and most comprehensive of its kind in the world, is anonymised and made widely accessible by UK Biobank to global researchers who use it to find new scientific discoveries about common and life-threatening diseases - such as cancer, heart disease and stroke which strike in mid-later life. UK Biobank is an innovative organisation with over 350 staff across four sites in the UK that fosters an engaging environment and supports the development of our staff. Our dedicated teams work alongside the world's leading biomedical scientists in our joint mission to improve public health.