187 jobs found

Engineering Lead Software Manager Founding Engineer Python - Agentic AI - FastAPI - CI/CD Fully Remote (UK / Europe) A small and talented team of talented engineers & data scientists are quietly building something interesting. Well-backed and operating in the AI engineering space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Founding Engineer / Engineering Lead, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. This role is for someone who thinks commercially and works in partnership with clients to capture and design solutions from the ground up. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Job Title: C#/.NET Software Engineer Location: South Cambridgeshire Salary: Up to 70,000 Working Pattern: Hybrid 2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growing technology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machines connecting instrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below.

TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting

RF Systems Engineer Porton Down - Permanent Perm - On-site £40000 - £60000 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days annual leave Annual Wellbeing allowance Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support Come and join our expanding Electronic Warfare Operations Support Group (EWOS) which is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists, and ex-military personnel combine their experience to help our customers achieve the true operational potential and help keep their people and platforms safe. We are continuing to grow our team at Porton Down, Salisbury, working on key state-of-the-art research, development, and delivery projects, led by our technical customer, Dstl. The primary role is to support testing and optimisation of RF receiver hardware in a new synthetic range (laboratory), with additional support to over-the-air testing (anechoic chamber) and field trials. This will require using a range of RF test equipment to perform digital and analogue injection testing within synthetic EW scenarios. This role will allow autonomy to explore ways to optimise RF receiver performance through configurable memory (mission data) to improve real-world operation of the system when deployed to target platforms. This exploratory process will focus on the increasingly congested and contested electromagnetic environment, developing tactics, techniques, and procedures (TTP) for the RF receiver. To accurately represent the synthetic use cases these systems are required to integrate into, the role will liaise with military, academia, industry and international stakeholders, to complete the validation process. This new lab will be using the latest commercial-off-the-shelf (COTS) development Radio Frequency System on Chip (RFSoC) boards to achieve a high-fidelity electromagnetic environment. You will become and expert in configuring and calibrating these devices to aid testing of the RF receiver systems. This role also has influence over future development work, driving requirements through analysis of current EW systems. As such and understanding of requirements generation and the engineering lifecycle will be valuable to the role. Working autonomously with unprecedented access to the customer, you will be crucial to ensure the success of these key projects, all whilst being supported by our on-site and home-site MASS teams. The invaluable experience you ll bring, to help us achieve more. Essential: Ability to work autonomously to optimise complex EW system performance. Understanding of RF sensor systems and Test & Evaluation (T&E) practices. Proficient with RF test equipment (signal generators, oscilloscopes, and spectrum analysers). Experience calibrating hardware and software models into a laboratory environment. STEM Degree or extensive experience with RF Electronics. Desirable: Experience creating scripts/programmes (MATLAB, Python, or similar). Strong background in EW systems and concepts, including radar systems. Experience across the engineering lifecycle (Requirements, V&V, Acceptance). Understanding of Analogue & Digital Signal Processing techniques. Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential. Our people are important to us, and we take pride in our wellbeing programmes and policies that support individuals including, mental health first aiders and readily available support through our extensive employee assistance programme Our non-negotiables: Due to the highly secure nature of the projects that you will be involved with, you must be: A UK National and eligible to work in the UK Eligible to obtain and maintain a UK Government SC-level security clearance Apply today to see how working for MASS could work for you!

MLOps Engineer, Palantir Platform Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day The Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams are collaborative, delivery focused and used to working with senior technical stakeholders. The Role and Deliverables Design, build and maintain MLOps pipelines on the Palantir Foundry platform. Enable reliable deployment, monitoring and retraining of machine learning models in production. Partner with data scientists and engineers to operationalise models efficiently. Implement best practices around CI/CD, model versioning and data quality. Support platform optimisation, scalability and reliability across environments. Produce clear technical documentation to support ongoing delivery. Your Skills & Experience Strong experience in MLOps or machine learning engineering within production environments. Hands on capability with Palantir Foundry, including pipelines and operational workflows. Solid Python skills and experience supporting end to end ML lifecycles. Practical knowledge of CI/CD, containerisation and cloud based infrastructure. Confidence working with complex data systems and multiple stakeholders. How to Apply If you are an MLOps Engineer with Palantir experience looking for a meaningful contract project, please apply with your details below!

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)

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: 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)

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)

High Level Overview I am looking for candidates with proven experience driving AI adoption across a business (Copilot, ChatGPT, Claude or similar). This is not a Data Scientist/AI Engineer position. If you have helped organisations identify AI use cases, implement governance, train users and turn AI into measurable business outcomes, please review the rest of the role details below and contact me ASAP if interested: Lorenz Pasch at Hays Recruitment Full contact details are available on my LinkedIn profile Unfortunately, no sponsorship options are available for this opportunity. Full role details: I am partnering with a leading UK organisation looking to hire a Technology AI Business Partner into a newly created role focused on driving AI adoption across the business. The challenge: AI tools are already being introduced into my client. This role exists to ensure adoption is structured, secure and delivers genuine value. You will be responsible for: Partnering with business teams to identify practical AI use cases Translating business challenges into AI-enabled solutions Supporting adoption of tools including Copilot, ChatGPT, Claude and other emerging technologies Delivering training, guidance and best practice sessions Supporting AI governance, risk management and responsible usage Assessing new AI capabilities within existing technology platforms Tracking benefits and demonstrating business value The successful candidate will have: Experience delivering AI adoption or digital transformation initiatives Strong business partnering/stakeholder management skills Ability to explain AI concepts to non-technical audiences Experience creating structure in fast-moving technology environments Understanding of AI governance, compliance and risk considerations Suitable backgrounds may include: AI Adoption Specialist Technology Business Partner Digital Transformation Consultant AI Consultant Product Owner Business Analyst with strong AI exposure Location: London (4 days per week on-site) Strong benefits package: 15% pension, bonus, share scheme and wider incentives Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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.

Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.

The Royal Society is the independent scientific academy of the UK. Our aim is to recognise, promote and support excellence in science, and to encourage the development and use of science for the benefit of humanity. The Society's Fellows have played a part in some of the most fundamental, significant and life-changing discoveries in scientific history and Royal Society scientists continue to make outstanding contributions to science in many research ideas. As a centralised support function, the Design team works with all teams across the Society to produce printed and digital communications and advise on branding to support teams in their implementation of the Society's strategy. Working as part of a small design team, the Senior Designer is responsible for producing a variety of design work within an established and strict brand infrastructure. Projects include policy reports, briefings, event marketing materials, programme booklets, data visualisation/infographics, and assets for our social media channels and websites. The Design team pride themselves on high-quality work, and typically complete over 800 projects a year, using Teamwork Projects to assist with design schedules and workflow. To achieve this volume of projects at the high standard expected, templates and established design styles are used to increase efficiency and ensure consistency across regular materials. For new and non-templated items, the Senior Designer will create materials that fit within the wider suite of Royal Society materials, using the brand guidelines and established styles to guide their design decisions. The role demands a consistent and accurate approach to layout and design, and the ability to fulfil design requests within agreed timescales. The Senior Designer will also take responsibility for client liaison on allocated projects and is expected to work well with stakeholders at all levels, answering enquiries knowledgeably with patience and a willingness to help. We ask application to provide a link to their portfolio as part of the online application. Reports to : Head of Brand and Design Line manages : Designer Location: Carlton House Terrace, London plus hybrid working Hours : 35 per week Contract: Permanent Pay Band : D Salary : £46, 148 per annum

Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.

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 .

AI Engineer / Azure / Generative AI / Permanent / London / Hybrid Vivo Talent are looking for an experienced AI Engineer to join our client and design, build and support enterprise AI platforms and solutions within a modern Azure environment. You'll be collaborating closely with developers, data scientists and business stakeholders to turn AI proof-of-concepts into secure, scalable production solutions. It is a great opportunity for someone looking to take concepts to solutions and make valuable impact. Key Responsibilities Build and maintain AI infrastructure using Microsoft Azure technologies including Azure AI Foundry, Azure OpenAI, Azure ML and Copilot Studio. Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications. Design and deploy GenAI, RAG and intelligent agent solutions across enterprise systems. Implement Infrastructure as Code (Terraform) and secure cloud environments following best practices. Support AI experimentation, model fine-tuning, prompt evaluation and production deployment. Monitor AI performance, token usage, cost optimisation, reliability and security. Collaborate with cross-functional teams to deliver scalable and compliant AI solutions. Promote Responsible AI, governance, and data security across all AI initiatives. Required Experience Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering. Hands-on expertise with Generative AI, RAG architectures, NLP and agentic workflows. Experience building secure CI/CD, LLMOps, and MLOps pipelines. Knowledge of Terraform, cloud security, APIs, and enterprise integrations. Familiarity with frameworks such as LangChain or Semantic Kernel. Strong stakeholder communication and cross-functional collaboration skills. This is an exciting opportunity to help shape and scale enterprise AI capabilities while working with cutting-edge Generative AI technologies in a secure, innovation-driven environment. AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid

Data Scientist - Database Analyst/Programmer II Larne, Northern Ireland (On-Site) Location: Larne (On-site) Contract: 12 months (Inside IR35) Hours: 37.5 hours/week (Flexible start/finish - typically 8:00am-4:00pm) We're currently looking for a talented Data Scientist / Database Analyst Programmer to join a leading engineering organisation based in Larne, Northern Ireland. Role Overview This is a hands-on role focused on data engineering, analytics, and automation, supporting key initiatives within a complex engineering environment. You'll play a vital part in building data pipelines, delivering analytical insights, and enabling data-driven decision-making across the business. Key Responsibilities Develop and maintain robust ETL/ELT data pipelines using Python, SQL, and Snowflake Cleanse, transform, and validate large datasets to ensure data accuracy and integrity Manage scheduled data loads and perform ongoing data quality checks Support and contribute to data governance, standards, and documentation Deliver high-quality, curated datasets for reporting and business analysis Support development of KPIs, dashboards, and analytical models Troubleshoot and resolve data, integration, and reporting issues Build and optimise solutions using Power BI, Power Apps, and Power Automate Integrate and manage CRM data (including Salesforce) to support business processes Identify and implement automation and process improvement opportunities across workflows. Required Skills & Experience 3-5+ years' experience in data science, analytics, data engineering, or automation roles Strong proficiency in Python Hands-on experience with SQL and Snowflake Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) Experience working with CRM data (Salesforce preferred) Solid understanding of data modelling, analytics, and data quality principles Degree in Computer Science, Engineering, Data Science, or related field (preferred) Preferred / Bonus Skills Exposure to machine learning or advanced analytics Experience with cloud data platforms If you're a data-driven professional looking to contribute within a cutting-edge engineering environment, apply now or reach out for more details! This vacancy is being advertised by Belcan

Experimental Physicist Infrared Detection Systems An innovative technology company based in the Greater Cambridge area is seeking a talented and motivated Experimental Physicist to join a growing research and development team focused on infrared detection and characterisation technologies. The Role You will design, build, and operate experimental systems for infrared detection, working across the full development pipeline from sensor selection and optical design through to signal processing and data analysis. The role offers the opportunity to contribute to cutting-edge research and help shape the direction of future development programmes. You will collaborate closely with a multidisciplinary team of scientists and engineers to develop and refine advanced detection techniques for real-world applications. Key Requirements Degree in Physics, Applied Physics, or a closely related discipline (PhD preferred, but not essential depending on experience) Hands-on experience with infrared sensors, detectors, or imaging systems Strong experimental and laboratory skills, including building and troubleshooting optical and electronic systems Familiarity with signal processing and data analysis, ideally within a detection or imaging environment Practical, methodical problem-solving approach with strong attention to detail Good communication skills and ability to work effectively within a collaborative team Desirable Experience Radiometry and photometry Thermal imaging or LWIR/MWIR/SWIR systems Optical modelling and simulation Experience within defence, security, industrial sensing, or related sectors What s on Offer A technically stimulating and research-focused environment Competitive salary and benefits package Opportunity to work on challenging projects with meaningful real-world impact Career development within a high-growth technology organisation Interested? Please Click Apply Now! Experimental Physicist Infrared Detection Systems

Teacher of Science Location: Croydon / Upper Norwood Salary: £250-£280 Contract: Temp Are you an enthusiastic and dedicated Science teacher with a passion for inspiring young people to explore and understand the world around them? My client is a successful coeducational secondary school located in Upper Norwood, committed to providing a high-quality education within a supportive and inclusive learning environment. The Role They are seeking an ambitious and passionate Teacher of Science to join their successful Science department. This is an exciting opportunity to inspire students across Key Stages 3 and 4 and contribute to a department that is committed to delivering engaging and challenging science education. Key responsibilities include: Planning and delivering high-quality Science lessons that engage, challenge, and inspire students. Teaching Science across Key Stages 3 and 4, with the opportunity to teach a specialist science at Key Stage 5 for suitably qualified candidates. Creating a positive and stimulating classroom environment that supports excellent progress and achievement. Monitoring and assessing student progress, providing effective feedback and targeted support where required. Using a variety of teaching and learning strategies to meet the needs of all learners. Working collaboratively with colleagues to develop and enhance the Science curriculum. Promoting high standards of behaviour, attendance, and academic achievement. Supporting the school's commitment to safeguarding, wellbeing, and inclusion. Contributing to the wider life of the school through enrichment activities and extracurricular opportunities. Person Specification The ideal candidate will: Hold Qualified Teacher Status (QTS) and have experience teaching Science at secondary level. Possess strong subject knowledge in Biology, Chemistry, Physics, or Combined Science. Demonstrate the ability to motivate and inspire students of varying abilities and backgrounds. Have excellent classroom management and communication skills. Be committed to achieving high standards of teaching, learning, and student outcomes. Have a strong understanding of assessment practices and data-driven improvement strategies. Be a collaborative team player with a commitment to ongoing professional development. Share the school's values of inclusion, ambition, and excellence. Why Join? Join a supportive and well-resourced Science department within a successful coeducational secondary school. Work with a dedicated team of professionals committed to raising achievement and supporting student success. Benefit from a collaborative culture that encourages innovation and professional growth. Access excellent professional development and career progression opportunities. What's Next? If you are ready to inspire the next generation of scientists and make a positive contribution to a thriving school community in Upper Norwood, we would love to hear from you.