184 jobs found

Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI 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)

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!

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)

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)

Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13120 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI 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 (LLMs, RAG & Agentic Systems) £75,000 - £90,000 London Hybrid An award-winning and highly innovative organisation is looking to hire a Senior AI Engineer to join a growing AI and Data Science function delivering cutting-edge AI products into production. This is an opportunity to work on genuinely impactful AI initiatives, developing and deploying large-scale AI applications that sit at the heart of the business. You'll be working on modern Generative AI use cases including Retrieval-Augmented Generation (RAG), agentic workflows, conversational AI, recommendation systems and intelligent automation solutions. Working alongside Data Scientists, Engineers and Product teams, you will take ownership of the full AI lifecycle, from requirements gathering and solution design through to deployment, optimisation and ongoing enhancement. The Role Design and develop production-grade AI applications using both traditional Machine Learning and Generative AI approaches Build and deploy RAG systems, LLM-powered applications and agentic workflows Develop scalable APIs, microservices and cloud-native AI solutions Work closely with business stakeholders to translate requirements into technical solutions Deploy and monitor AI solutions within modern cloud environments Drive best practice across MLOps, deployment, governance and model lifecycle management Collaborate with cross-functional engineering, product and analytics teams What We're Looking For Strong experience delivering Machine Learning solutions into production Hands-on experience with LLMs, RAG architectures and agentic AI workflows Experience with frameworks such as LangChain, LlamaIndex or similar Strong Python development skills Experience building APIs and microservices Knowledge of Docker, Kubernetes and cloud platforms Understanding of MLOps and production deployment practices Strong stakeholder management and communication skills Why Apply? Work on some of the most exciting AI projects currently being delivered in industry Strong executive sponsorship and investment in AI Opportunity to influence the future direction of AI products and platforms Hybrid working model Excellent benefits package including bonus, pension and private healthcare Genuine opportunity for career progression within a growing AI function Salary: £75,000 - £90,000 + Bonus + Benefits Location: London (Hybrid - 2 days per week onsite) Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

MLOps Engineer / Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to £537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to £537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this role isn't quite right for you, but you're exploring the market, please get in touch for a confidential discussion. 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 hays.co.uk

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

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

Flood Risk Consultant Location: Manchester Salary: 33,000 - 54,000 Join a leading consultancy in Manchester as a Flood Risk Consultant and make a tangible impact on diverse projects across the UK and beyond. The Opportunity As a Flood Risk Consultant, you'll be part of a dynamic team within our Water Management Consultancy. You'll engage in technical work such as data analysis, hydraulic modelling, hydrology, and GIS. Your role will involve ensuring quality assurance for technical deliverables and developing flood mitigation solutions. Key Responsibilities - Conduct hydraulic modelling using TUFLOW, Flood Modeller, ESTRY, and InfoWorks ICM. - Perform hydrological assessments and flood risk analyses. - Collaborate with environmental scientists, engineers, and planners. - Support business development activities, including tendering and client engagement. Candidate Requirements - Degree in Geography, Science, or Civil Engineering. - Proficiency in 1D-2D hydraulic modelling and GIS skills. - Experience in flood risk assessment and hydrology. - Strong interpersonal and organisational skills. - Motivated, collaborative, and adaptable. Why Apply? This role offers a competitive salary of 33,000 - 54,000, along with flexible working arrangements and opportunities for professional development. You'll have the chance to work on impactful projects and advance your career in flood risk management. Company Culture We are committed to creating an inclusive environment where everyone can thrive. Our flexible policies support work-life balance, and we value diversity in our workforce. Eligibility to Apply Applicants must already have the right to work in the UK. Sponsorship is not available. If you are a Flood Risk Consultant looking to take the next step in your career in Manchester, we would be pleased to hear from you. If this role feels close but not quite perfect, please do not be put off from applying. I specialise in Civil Engineering, Water and Flood Risk recruitment and may also be able to help with other suitable roles that are not currently advertised. Penguin Recruitment is operating as a Recruitment Agency for this position. For more information, contact Andy Hopkins, our Civil Engineering specialist with over 30 years' recruitment experience.

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 .

Join Our Dynamic Data Science Team! Are you a passionate Data Scientist ready to make a real impact in the retail industry? Our client is seeking a talented individual to join their vibrant team on a fixed-term contract. With a daily rate ranging from 550 to 850, you'll play a crucial role in shaping the future of retail through data-driven insights and innovative solutions! About the Team: At our client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative environment, rotating across different business areas to expand their expertise and make a significant impact. Your Role: As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building and maintaining data pipelines while ensuring effective model performance evaluation. Experimenting with innovative approaches to translate business challenges into actionable data science solutions. Collaborating with Machine Learning Engineers and Software Engineers to create efficient and maintainable solutions aligned with the organization's technology standards. Communicating complex ideas clearly to non-technical stakeholders and contributing to internal knowledge sharing. What You'll Need: To excel in this role, you should possess: A solid foundation in machine learning, statistics, and programming. Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact. Proven ability to translate complex business problems into clear data science solutions. Extensive experience using Python for model development and working with large-scale data in distributed computing environments. Knowledge of strong coding practices, including version control and testing methodologies. A proactive approach to learning new methods and keeping up with the latest industry developments. A higher degree in a quantitative discipline (Mathematics, Computer Science, Engineering, or Physics) is preferred, but equivalent commercial experience is also valued. Hands-on experience with advanced machine learning libraries. Contract Details: Contract Length: 6 months with possible extension. Working Pattern: Hybrid 2-3 day sper week in office. Why Join Us? This is a fantastic opportunity to apply your skills in a fast-paced environment and contribute to innovative projects that directly influence customer experiences and business outcomes. If you're excited about leveraging data to drive meaningful change and thrive in a collaborative atmosphere, we want to hear from you! Ready to Make a Difference? Apply now to become part of a forward-thinking team that values creativity, collaboration, and continuous learning! Your journey in data science starts here! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Talentmark are recruiting for a Protein Crystallographer to join a pharmaceutical company on a contract basis for 12-24 months . Salary : Paying between 28.54 and 38.01 per hour PAYE (Inside IR35). Protein Crystallographer Role: Support structural biology studies that help identify and optimise potential new medicines. Analyse and interpret protein crystal structure data generated from drug discovery programmes. Coordinate X-ray crystallography data collection activities using internal facilities and external research partners. Work closely with scientists across biology, chemistry and drug discovery teams to support research projects. Help develop and improve laboratory workflows and processes used in fragment-based drug discovery. Process, review and communicate structural data to support project decision-making. Your Background: PhD qualified in Structural Biology, Biochemistry, Chemistry, Chemical Biology or a related scientific discipline. Experience working with protein crystallography within an academic, biotechnology or pharmaceutical environment. Strong understanding of X-ray crystallography techniques and structural biology data analysis. Experience using crystallography software and data processing tools. Knowledge of fragment-based drug discovery or structure-guided drug design would be advantageous. Experience with automation, scripting or workflow improvement tools would be beneficial. Company: Our client is one of the largest pharmaceutical companies in the world. They focus on finding answers for some of the world's most urgent medical needs. Location: This role is based at our client's site in Bracknell , with 2 days per week onsite . Apply: For more information, or to apply for this Protein Crystallographer position please contact the Key Accounts Team on (phone number removed) or email (url removed) . Please quote reference (phone number removed) / 3338 . It is essential that applicants hold entitlement to work in the UK. Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.

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

Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

We are looking for an experienced, enthusiatic and highly capable Data Scientist / Statistician , who has an interest in media research, to join our team based in London ( Hybrid 2 days per week in the office ) . You will join us on a full-time, permanent basis, and in return, you will receive a competitive salary of up to £35,000 per annum, based on experience. RSMB is a leading company specialising in media measurement solutions. We work with various clients, including industry measurement bodies like Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working environment based in Holborn, London. The Data Scientist / Statistician role: Whether you re a recent graduate or have a few years of experience in stats, data science, or media analytics, this is a great opportunity to work with big datasets, solve real-world problems, and help shape how the UK media industry understands audiences. You will be working primarily on Barb s audience measurement projects, with opportunities to also work on other media projects such as RAJAR, CFlight and TouchPoints. You will join us on a full-time, permanent basis, and in return, you will receive a competitive salary of £28,000 per annum for graduate entry level, rising to £35,000 depending on degree of relevant post graduate experience. This is a hands-on role which will provide a breadth of experience. Key responsibilities as our Data Scientist / Statistician will include: Providing statistical expertise across RSMB s work, gaining in-depth knowledge of methodologies used in Barb s measurement services. Utilising programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively. Manipulation and visualisation of data using tools such as Excel, Power BI & Oracle Analytics. Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings. Evaluating methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches. Supporting ad hoc data requests from clients. Opportunities to work on data fusion processes to support comprehensive audience insights. What we are looking for in our Data Scientist / Statistician: The candidate should have broad knowledge of statistical/mathematical techniques Ideally possessing the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with Microsoft packages including Excel. Analytical Skills: Numerate with the ability to interpret and present complex data. Strong problem-solving skills and ability to think critically. Communication: Excellent verbal and written communication skills, with the ability to present data findings clearly and convey technical concepts to non-technical stakeholders. What you ll get in return as our Data Scientist / Statistician: Strong interpersonal skills and the ability to liaise with people at all levels. Self-motivated and confident to manage their own projects as well as working within teams for larger projects. Excellent attention to detail and superb organisational skills. Able to use initiative to work independently with the ability to manage own time and organise priorities. Flexible and adaptable the needs of the job may change from week to week. Collaborative team player, committed to the collective success of the company. The ability to manage client relationships effectively, ensuring client satisfaction and addressing any concerns promptly. Benefits you'll receive as our Data Scientist / Statistician: Pension Scheme. 25 days holiday per annum (rising to 30 days), plus bank holidays. Private Medical Insurance. Season Ticket Loans. Group Life and Permanent Health Insurance. Additional Information: Applicants must be eligible to work in the UK. We re not accepting agency applications. If you feel you have the skills and experience to become a Data Scientist / Statistician in this exciting role, then please click apply now We'd love to hear from you!

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: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 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)

Scientist I - Analytical (Biologics) Darlington (National Biologics Manufacturing Centre) On-site 26,939 - 36,939 About the Role CPI is seeking an Analytical Scientist to join our growing Analytical team in Darlington, supporting a wide range of biologics process development programmes. This role sits at the heart of how CPI delivers high-quality data to support bioprocessing, with work spanning molecule characterisation, product quality testing, and formulation/stability studies. You will work across a diverse project portfolio - from early-stage development through to more advanced programmes - contributing to the characterisation and understanding of complex biologic products. We are open to candidates from a range of analytical backgrounds, including those looking to transition from small molecules into biologics. What You'll Be Responsible For Analytical Testing & Characterisation Perform analytical studies to support process development and product characterisation Investigate: Product quality and structural characteristics Residuals and impurities (e.g. host cell proteins, DNA, endotoxins) Stability and degradation pathways Techniques & Methods Apply a wide range of analytical techniques, which may include: Chromatography (HPLC/UPLC) Mass spectrometry ELISA and qPCR/ddPCR Capillary electrophoresis and SDS-PAGE Contribute to biophysical analysis including: Circular dichroism Dynamic light scattering Differential scanning calorimetry Other structure/function techniques Method Development & Data Analysis Support development and optimisation of analytical methods Analyse and interpret data, preparing clear reports and summaries Contribute to data trending, documentation, and ensuring data integrity Project & Team Collaboration Work closely with upstream and downstream process development teams Contribute to delivery of multiple analytical work packages across projects Support continuous improvement of analytical workflows and lab practices About You You are an analytical scientist or early-career researcher with experience in laboratory-based analytical techniques and an interest in biologics. You'll bring: A degree (or equivalent) in a scientific discipline (e.g. chemistry, biochemistry, molecular biology) Hands-on experience with analytical techniques Strong attention to detail and ability to generate high-quality data Good communication skills and ability to work in a team environment Desirable (but not essential): Experience working with biologics or bioprocessing systems Exposure to biophysical characterisation techniques (e.g. CD, DLS, DSC) Experience with mass spectrometry or spectroscopy methods (e.g. IR, Raman) Experience with molecular biology techniques (e.g. qPCR, ELISA) Background in: Analytical chemistry (including those looking to move into biologics) Biochemistry or molecular biology This role is ideal for someone who: Enjoys working across a variety of analytical methods Is curious and keen to broaden their technical skillset Wants exposure to cutting-edge biologics development Why Join CPI? Work on diverse and impactful biologics programmes Gain exposure to a wide range of analytical and biophysical techniques Excellent environment for technical development and career progression Collaborative, multidisciplinary scientific teams Competitive salary ( 26.9k- 36.9k) Location & Working Pattern Based on-site in Darlington (NBMC, Nigel Perry Building) Laboratory-based role with hands-on experimental work The Opportunity This is a fantastic opportunity to join a highly capable analytical team and build experience across multiple technologies, modalities, and projects - making it ideal for someone looking to develop a strong, well-rounded analytical career in biologics. Unfortunately this role doesn't offer sponsorship so we will not be accepting any applications for candidates who require this long term. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.