195 jobs found

Data Virtualisation Architect Synergize Consulting is supporting a leading Defence and National Security organisation in the recruitment of an experienced Data Virtualisation Architect to join a high-profile programme delivering innovative data capabilities within a secure environment. This is an exciting opportunity to play a key role in designing and delivering enterprise-scale data virtualisation solutions that enable users to securely access and consume data from multiple sources without the need for unnecessary data movement or duplication. The Role As a Data Virtualisation Architect, you will be responsible for defining and implementing scalable data virtualisation architecture, enabling secure, high-performance access to distributed data across complex enterprise environments. Working closely with architects, data engineers, data scientists and business stakeholders, you will help shape the organisation's data strategy and deliver modern data solutions that support informed decision-making. Key Responsibilities Design and implement enterprise Data Virtualisation solutions. Develop logical data models and virtual data layers across multiple data sources. Define architecture, standards and best practice for data integration and virtualisation. Collaborate with Data Engineers, Data Scientists and Solution Architects to deliver scalable solutions. Optimise performance, security and governance of virtualised data services. Produce high-quality architecture documentation and technical designs. Support technology selection, proof of concepts and roadmap development. Ensure solutions align with enterprise architecture and security standards. Skills & Experience We're keen to speak with candidates who have experience across several of the following areas: Essential Enterprise Data Architecture Data Virtualisation/Data Federation Logical and Physical Data Modelling Data Integration Architecture Strong SQL and query optimisation API Integration (REST/JSON) Enterprise data governance and security Performance optimisation Stakeholder engagement and technical leadership Experience with technologies such as Denodo Dremio Starburst IBM Cloud Pak for Data (Data Virtualization) TIBCO Data Virtualization Red Hat JBoss Data Virtualization (Teiid) Microsoft Fabric Databricks Snowflake Collibra Microsoft Purview Informatica Azure Data Factory AWS Glue Apache Spark Apache Kafka Cloud Technologies Experience with one or more cloud platforms, including: Amazon Web Services (AWS) Microsoft Azure Google Cloud Platform (GCP) Desirable Data Fabric Data Mesh Data Lakes/Lakehouse Architecture ETL/ELT Master Data Management (MDM) Metadata Management Data Lineage DevOps/CI/CD Docker Kubernetes TOGAF or equivalent Enterprise Architecture framework Security & Domain Experience Experience working within Defence, National Security or Central Government environments would be highly advantageous. Candidates should ideally hold DV Clearance, be sole UK national, or be eligible and willing to undergo UK Security Clearance. Why Apply? This is an opportunity to work on a technically challenging programme that is shaping the future of secure enterprise data capabilities. You'll collaborate with highly skilled multidisciplinary teams, influence architecture decisions, and deliver solutions that have a meaningful impact within a complex, mission-critical environment. If you're an experienced Data Virtualisation Architect looking for your next contract opportunity, we'd love to hear from you. Apply today or contact Synergize Consulting for a confidential discussion.

Data Scientist (Assistant Manager/Manager) London (Hybrid) £50,000 - £80,000 (DOE) + bonus + benefits The Role This is an opportunity to join a growing Simulation & Insights team working at the intersection of data science, AI and decision modelling. You'll be delivering solutions that help organisations make complex, high-value decisions, from optimising operations to shaping long-term strategy. It's a hands-on role with a strong consulting edge. You'll be building models one day and working directly with stakeholders the next, explaining what the outputs actually mean for the business. The role is offered at Assistant Manager or Manager level, depending on experience. At Manager level, you'll take on additional ownership of projects, stakeholders and team members. What You'll Do Build and deploy data science, machine learning and simulation models to solve complex business problems Apply advanced techniques including optimisation, forecasting, statistical modelling and AI Develop LLM-based solutions, including: Retrieval-Augmented Generation (RAG) Fine-tuning and prompt engineering Agent-based workflows Work with large and complex datasets, both structured and unstructured Write clean, scalable Python code for model development and production use Use tools such as Databricks, MLflow and modern AI platforms to manage the full model life cycle Translate technical outputs into clear, commercially relevant insights Engage directly with stakeholders to define problems and shape solutions Collaborate with multidisciplinary teams across data, engineering and strategy At Manager level, you will also: Lead projects or workstreams end-to-end Manage and mentor junior team members Own stakeholder relationships and present to senior audiences Contribute to business development and proposition building What You'll Bring Core Skills Strong academic background in a STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines Fine-tuning approaches Agent-based architectures A practical understanding of how to apply LLMs to real-world use cases Tools & Engineering Experience with model deployment and MLOps tools (eg Databricks, MLflow) Familiarity with version control (Git) and collaborative development practices Awareness of best practices in code quality and reproducibility Communication & Consulting Ability to explain complex technical concepts to non-technical stakeholders Experience working in client-facing or cross-functional teams Strong problem-solving skills and the ability to manage ambiguity Why You Should Apply Work on high-impact projects that directly influence business decisions Exposure to cutting-edge AI and LLM use cases Variety of work across multiple industries and problem types Clear progression from Assistant Manager to Manager and beyond Strong focus on learning, development and career progression Hybrid working model with flexibility built in Collaborative team environment with high-performing peers Ready to Apply Contact Lewis Allen to find out more. Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral get in touch! Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time.

The post holder is responsible for leading and managing Digital & Technology projects and the project team on a day-to-day basis and is responsible for driving and overseeing their delivery to ensure that the objectives are clearly defined and achieved within the agreed time, cost and quality constraints. Client Details The Medicines and Healthcare products Regulatory Agency enhance and improve the health of millions of people every day through the effective regulation of medicines and medical devices, underpinned by science and research. The Digital and Technology Group (DTG) lies at the heart of the Agency and is responsible for delivering an optimised IT infrastructure and maximising the secure use of data to enable our scientists, inspectors, and the rest of the organisation to deliver world class services which can improve outcomes for patients and the general public. The Group was essential in the race to approve COVID-19 vaccines in 2020 and in supporting the UK to set up its own medicines and devices approvals systems following our exit from the EU. The work we do matters! Its centre of excellence is also responsible for delivering a broad portfolio of change initiatives, both to transform the Agency's legacy technologies and to deliver innovative new solutions, designed around our customers' needs. DTG works in a holistic way to combine digital and technology change, data and information management, project delivery, business process, product management and cultural change to maximise out impact and ensure sustainability. We plan to be at the heart of one of the most digitally advanced medical regulators in the world and we need people who can help us deliver that ambition. DTG is a great place to build your career, and we are committed to enabling our people to do the best work of their lives. The Delivery Group function is responsible for providing a Delivery Centre of Excellence to drive a digital and technology-based change to deliver minimum viable products (MVP) and continuous improvements and managing all stages of the product development and implementation lifecycle, including, but not limited to, business case creation, benefits realisation planning, and management of risks. Description The post holder is responsible for leading and managing Digital & Technology projects and the project team on a day-to-day basis and is responsible for driving and overseeing their delivery to ensure that the objectives are clearly defined and achieved within the agreed time, cost and quality constraints. The post holder has a key role in project governance and working with stakeholders, to ensure the agreed outputs are delivered and accurately reported utilising the Agency's PPM tool, to ensure appropriate controls are in place to enable benefits realisation. Projects may follow waterfall and/or agile methods of delivery ensuring a fit for purpose approach appropriate to requirements for the desired solution. The Agency's default tool for supporting portfolio, programme and project delivery is Verto. Other tools such as Jira and Confluence are also utilised to support agile delivery. If you would like to find out more about this fantastic opportunity, please click here. Profile Our successful candidate will have: Experience of end-to-end digital and IT projects across a variety of complex projects using different delivery methodologies and frameworks. Experience in setting up projects with the correct governance, to ensure risks and issues are reported accurately and assurance is provided to senior stakeholders and governance boards. Experience of financial management, demonstrating your ability to forecast accurately and manage delivery against agreed budgets. Familiarity with GDS Technical and Service standards. Familiarity with the Government Project Delivery Functional Standard, which sets expectations for the direction and management of portfolios, programmes, and projects in government, is desirable. Degree relevant to requirements or equivalent; or one or more of the following: o Prince 2 Practitioner with Agile o Agile project management practitioner o APM Practitioner Qualification Person Specification: Method of assessment: A=Application, T=Test, I=Interview, P=Presentation Behaviour Criteria: Leadership (I) Communicating and Influencing (I) Working Together (I) Delivering at Pace (I) Experience Criteria: Experience of end-to-end digital and IT projects across a variety of complex projects using different delivery methodologies and frameworks (A, I) Experience in setting up projects with the correct governance, to ensure risks and issues are reported accurately and assurance is provided to senior stakeholders and governance boards (I) Experience of financial management, demonstrating your ability to forecast accurately and manage delivery against agreed budgets (A, I) Technical Criteria: Familiarity with GDS Technical and Service standards (I) Familiarity with the Government Project Delivery Functional Standard, which sets expectations for the direction and management of portfolios, programmes, and projects in government, is desirable (I) Degree relevant to requirements or equivalent; or one or more of the following: (A) o Prince 2 Practitioner with Agile o Agile project management practitioner o APM Practitioner Qualification o APM Registered Project Professional Job Offer Permanent G7 National: 57,028- 64,672 Hybrid Office / 3 days per week in office Civil Service Pension and Benefits The selection process: We use the Civil Service Success Profiles to assess our candidates If you require any disability related adjustments at any point during the process, please contact as soon as possible. In the instance that we receive a high number of applications, we will hold an initial sift based on the lead criteria of Experience of end-to-end digital and IT projects across a variety of complex projects using different delivery methodologies and frameworks. Applicants are assessed on whether they meet any mandatory requirements as well as the necessary skills and experience for the role. Applications are scored based on the competency-based answers provided- ensure you have read these thoroughly and allow sufficient time. You can view the competencies for this role in the job description. Closing date: 13th July 2026 Shortlisting date: from 20th July 2026 Interview date: from 27th July 2026

Data Scientist (Assistant Manager/Manager) London (Hybrid) £70,000 - £80,000 + bonus + benefits The Role This is an opportunity to join a growing Simulation & Insights team working at the intersection of data science, AI and decision modelling. You'll be delivering solutions that help organisations make complex, high-value decisions, from optimising operations to shaping long-term strategy. It's a hands-on role with a strong consulting edge. You'll be building models one day and working directly with stakeholders the next, explaining what the outputs actually mean for the business. The role is offered at Assistant Manager or Manager level, depending on experience. At Manager level, you'll take on additional ownership of projects, stakeholders and team members. What You'll Do Build and deploy data science, machine learning and simulation models to solve complex business problems Apply advanced techniques including optimisation, forecasting, statistical modelling and AI Develop LLM-based solutions, including: Retrieval-Augmented Generation (RAG) Fine-tuning and prompt engineering Agent-based workflows Work with large and complex datasets, both structured and unstructured Write clean, scalable Python code for model development and production use Use tools such as Databricks, MLflow and modern AI platforms to manage the full model lifecycle Translate technical outputs into clear, commercially relevant insights Engage directly with stakeholders to define problems and shape solutions Collaborate with multidisciplinary teams across data, engineering and strategy At Manager level, you will also: Lead projects or workstreams end-to-end Manage and mentor junior team members Own stakeholder relationships and present to senior audiences Contribute to business development and proposition building What You'll Bring Core Skills Strong academic background in a STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines Fine-tuning approaches Agent-based architectures A practical understanding of how to apply LLMs to real-world use cases Tools & Engineering Experience with model deployment and MLOps tools (e.g. Databricks, MLflow) Familiarity with version control (Git) and collaborative development practices Awareness of best practices in code quality and reproducibility Communication & Consulting Ability to explain complex technical concepts to non-technical stakeholders Experience working in client-facing or cross-functional teams Strong problem-solving skills and the ability to manage ambiguity Why You Should Apply Work on high-impact projects that directly influence business decisions Exposure to cutting-edge AI and LLM use cases Variety of work across multiple industries and problem types Clear progression from Assistant Manager to Manager and beyond Strong focus on learning, development and career progression Hybrid working model with flexibility built in Collaborative team environment with high-performing peers Ready to Apply Contact Lewis Allen to find out more. Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral get in touch! Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time. Keep an eye on our site for new opportunities!

Flood Risk ConsultantLocation: Salary: £38,000 - £48,000 Opening HookJoin a leading consultancy and shape the future of flood risk management. SectionsThe OpportunityAs a Flood Risk Consultant, you will be part of a dynamic team that delivers innovative solutions across various sectors including buildings, energy, and water. This role offers the chance to work on diverse projects both in the UK and internationally. Key Responsibilities Conduct data analysis and hydraulic modelling. Perform hydrology assessments and GIS mapping. Prepare technical reports and ensure quality assurance. Collaborate with environmental scientists, engineers, and planners. Support business development activities and client engagement. Candidate Requirements Degree in Geography, Science, or Civil Engineering. Proficiency in 1D-2D hydraulic modelling using software like TUFLOW, InfoWorks ICM. GIS skills and experience in flood risk analysis. Strong interpersonal skills and a collaborative mindset. Organised with the ability to manage multiple projects. Why ApplyThis role offers a competitive salary of £38,000 - £48,000, along with opportunities for professional development and flexible working arrangements to support your personal and career growth. Company CultureWe foster an inclusive environment where everyone can thrive. Our consultancy values diversity and is committed to equality, offering flexible working policies and a supportive team culture. Eligibility To ApplyApplicants must already have the right to work in the UK. Sponsorship is not available. Call To Action If you are a Flood Risk Consultant looking to take the next step in your career, 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.

Develop infrared imaging systems for object detection and characterisation This high-growth startup in the defence and security sector is seeking an experimental physicist to work on infrared detection systems. You will build and operate their experimental systems working on all aspects of the design from sensor selection and optical design through to signal processing and data analysis. Your work will directly translate to the technologies and products of the company, and your insights will shape their future research direction. Requirements: Strong hands-on skills building and troubleshooting optical and electronic systems using infrared sensors or detectors. Specific experience with thermal imaging or Long-wave / Medium-Wave / Short-Wave IR would be beneficial but is not required. Good knowledge of signal processing and data analysis methods in the context of imaging processing and object detection. PhD in Physics (or equivalent commercial experience) supported by a top undergraduate degree in Physics (Oxford, Cambridge, Imperial or equivalent). UK national or previous UK security clearance. This is a defence company, and this role requires applicants to be eligible for UK security clearance. This is a great opportunity to further your career working on technically challenging problems with real-world impact. You ll be working alongside other scientists and engineers developing cutting-edge technologies in a stimulating research environment. 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: CV27652 ) 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.

Early Career Information Scientist - Content Analytics & Data Science Type: Temporary Duration: 12 months Location: Slough (Hybrid - minimum 2 days onsite) Rate: (INSIDE IR35) - up to £22.40 per hour (PAYE) - up to £30.81 per hour (Umbrella) SRG are supporting a leading pharmaceutical company with a new contract opportunity for an Information Scientist to join a dynamic scientific information and intelligence team. This is an excellent opportunity for someone who is new to the industry or an early-career professional to develop expertise in data science, AI-enabled analytics, and scientific information management within an advanced R&D environment. Based in Slough with hybrid working options available, the role will focus on transforming scientific content and data into practical insights through programmatic and analytical approaches. Key Responsibilities Develop and maintain programmatic workflows to support scientific data analysis. Apply data science techniques to identify trends, patterns, and insights from scientific information. Build and optimise automated pipelines for content analytics and data processing. Utilise AI and natural language processing (NLP) tools for text mining and summarisation activities. Collaborate with cross-functional stakeholders to support information and analytics projects. Contribute to data governance initiatives and responsible AI practices. Skills & Experience Required Degree in Life Sciences, Data Science, Bioinformatics, or a related discipline. Basic programming skills with an interest in developing technical capabilities. Strong analytical and problem-solving skills with attention to detail. Interest in data-driven approaches to scientific research and information management. Experience or exposure to NLP, machine learning, or scientific data analysis would be advantageous. Familiarity with metadata, ontologies, or knowledge graphs would be beneficial. To Apply Please click and submit your profile and/or to discuss further, contact Theo Charles on Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Urgent Contract AI Service Designer (2B) - Active Security Cleared Role Purpose The AI Service Designer is responsible for designing end-to-end services that leverage data, AI, and automation to improve outcomes for consumers, and market participants. The role focuses on understanding user and organisational needs, shaping AI-enabled services, and ensuring solutions are usable, ethical, and aligned to Ofgem's Responsible AI and Digital strategies. Key Responsibilities Lead the design of AI-enabled services from discovery through to live, ensuring they meet user needs and business outcomes Map current and future service journeys, identifying opportunities to embed AI, automation, and data-driven decision-making Conduct user research and translate insights into service designs, prototypes, and design artefacts Identify where AI can improve service efficiency, quality, or customer experience Work with data scientists, engineers, and product teams to embed AI solutions into operational services Embed Responsible AI principles including fairness, transparency, and accountability into service design Collaborate within multidisciplinary teams and support agile delivery Define service performance metrics and continuously improve services using data and feedback Essential Skills & Experience Strong experience designing end-to-end services in complex organisations Skilled in service design methods such as journey mapping and service blueprints Understanding of AI, data, and automation capabilities and limitations Strong stakeholder engagement and communication skills Experience working in agile, multidisciplinary environments Understanding of Responsible AI and ethical considerations Desirable Skills Experience with generative AI or Copilot-style tools Public sector or regulatory experience Knowledge of accessibility and inclusive design Experience with service performance measurement Behaviours User-focused and outcome-driven Collaborative and inclusive Evidence-based and analytical Adaptable in emerging technology environments Committed to Responsible AI principles Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Data Science Manager/Hands on/Team Management/People Management/AI Models/Coding/Insights/Data Visualisation/Statistical and Probabilistic Analysis/Programming/ML/Machine Learning/Python/Hybrid - Warwickshire/Remote/£78,000 - 91,000 + 30% bonus + excellent benefits. One of our leading clients is looking to recruit a Data Science Manager. Location - Hybrid - Warwickshire/Remote (1 day per week in Warwickshire office) Salary - £78,000 - 91,000 + 30% bonus + excellent benefits You will lead a high-performing team while staying hands-on, delivering impactful projects, building AI models, coding, and turning data into clear, actionable insights. Demonstrable experience in Data Science Proven ability to lead, mentor, and develop Data Scientists, guiding teams to deliver high-quality, impactful work. Strong communication and stakeholder-engagement skills, able to work effectively with end users, peers, and senior leaders. Fluency in Data Science techniques across statistics, machine learning, and GenAI. Strong programming skills in Python and SQL, with the ability to build reliable, scalable solutions. Experience working in cloud environments on Linux and/or Windows platforms (Azure experience is a plus) A strong track record delivering the full life cycle of Data Science products and projects. Experience working within regulated utility environments. Experimental design experience and a hypothesis-driven mindset. Familiarity with interactive visualisation tools (Power BI a plus). Knowledge of GIS tools, such as ArcGIS Desirable Any exposure to highly regulated sectors such as utilities/power/energy/electricity/water/gas/nuclear/financial services/telecoms etc.

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

Data Scientist North West or London, Hybrid Up to 70,000 What if your next role wasn't about maintaining someone else's models? What if you joined at the beginning, built the foundations, owned your work, and helped shape the future of an entire Data Science function? That's exactly what this opportunity offers. We're working with a growing insurance business investing heavily in data, pricing and machine learning. They have built the platform. Now they're looking for a Data Scientist who wants to build what comes next. This is a genuine greenfield role. You'll work directly with the Head of, developing production machine learning models, improving pricing capability and helping create the company's long-term Data Science strategy. If you're looking for ownership instead of layers of bureaucracy, this role is worth a conversation. What you'll be doing Build production machine learning models from scratch. Develop pricing and customer behaviour models. Improve existing Lifetime Value (LTV) models. Deploy models into production using Python. Work across pricing, marketing, claims and customer analytics. Analyse model performance and continuously improve accuracy. Help shape future MLOps capability. Work closely with stakeholders across the business. What we're looking for Commercial experience as a Data Scientist. Strong Python and SQL skills. Experience building and deploying machine learning models. Strong statistical and analytical skills. Someone who enjoys solving complex business problems. Excellent communication skills and the confidence to work with technical and non-technical stakeholders. A naturally curious person who enjoys learning new technologies. Nice to have Insurance, financial services or pricing experience. Customer behaviour modelling. MLOps exposure. Databricks. Azure Why join? Genuine greenfield environment. High level of ownership from day one. Work directly with senior leadership. Opportunity to influence the technical direction of the business. Modern Microsoft technology stack including Azure and Databricks. Clear progression as the Data function grows. If you're looking for a role where your work will have visible impact, rather than becoming another cog in a large Data Science team, we'd love to speak with you. Apply today or contact Ben at Maxwell Bond for a confidential conversation.

Senior Data Scientist Salary: 85K - 95K Location: London (Hybrid - 3 days per week) Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale. Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they're now looking for a Senior Data Scientist to own one of the most important parts of the company. The Opportunity This isn't a role where you'll optimise an existing model or become another specialist in a large data science team. You'll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you'll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer. You'll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes. Working alongside highly experienced founders and recognised experts in machine learning, you'll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one. This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business. Skills & Experience Strong commercial experience building machine learning models in Python Excellent understanding of predictive modelling, classification or propensity modelling Experience with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious and analytical mindset If you're looking for a role where you'll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we'd love to hear from you. Senior Data Scientist

Data Analytics Engineer Hybrid Basingstoke We're working with a growing financial services business looking to bring in a Data Analytics Engineer to help build out their data platform from the ground up. You'll own the end-to-end lifecycle of data products - ingestion, modelling and presentation - working closely with stakeholders across the business to turn raw data into something they can actually use and act on. What you'll be doing: Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks Contributing to the platform's data modelling and architecture Building dashboards and semantic models, and presenting these directly to stakeholders Working across the full pipeline from source systems to target repositories, with a strong focus on data quality Collaborating with Data Scientists to help productionise ML pipelines Operating within an Agile/DevOps environment What we're looking for: Strong SQL and Python skills Solid understanding of Lakehouse architecture and data management principles Hands-on experience with Azure (Data Factory, Databricks, Synapse, Storage, DevOps) Experience designing Star Schema data models for Power BI 5+ years' experience building data platforms in a commercial setting Nice to have: Real-time pipeline experience Azure Data Engineer certification Exposure to Kafka or other open-source tools Background in a regulated industry (finance/insurance) Details: 60,000 - 70,000 Permanent position Hybrid (Basingstoke)

AI/ML Engineer Up to 82,000 + Bonus + Outstanding Benefits + London/Hybrid If you're an AI Engineer who wants to build production AI solutions rather than endless proof of concepts, this is an opportunity to help shape how enterprise AI is adopted across a global organisation. You'll be responsible for designing, deploying and optimising machine learning models, LLM-powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers, you'll help move AI from experimentation into secure, scalable products that deliver real business value. This is an engineering role with genuine ownership. You'll be involved throughout the AI lifecycle, from designing and deploying solutions through to monitoring, optimisation and governance. You'll also work with modern AI technologies and help influence how they're adopted across the wider business. You'll be working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool-calling patterns. You'll need experience with: Deploying LLMs and machine learning models into Azure enterprise environments. Azure Databricks, Azure Machine Learning and ideally Azure AI Foundry. Building production AI applications using LangChain, LangGraph and Python. MLOps / LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool-calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/CD and Azure Data Factory. What's on offer Up to 82,000 salary Annual performance bonus 28 days' holiday plus bank holidays, with the option to buy more Private medical insurance Excellent pension, life assurance and a flexible benefits package If you're already working in AI and want to spend more time building modern, production-ready LLM and agentic AI solutions using one of the strongest Azure AI stacks available, this role offers the chance to make a genuine impact while continuing to develop with a fast-moving technology landscape.

Working Environment You'll operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real workloads, and designing guardrails that balance flexibility for users with reliability, security and governance. What You'll Be Doing - Provide technical leadership across platform engineering, DevOps, and MLOps activities - Design, build, and operate a Kubernetes-based MLOps platform that supports the full model lifecycle - Implement and operate MLOps tooling and frameworks enabling teams to build, train, deploy, and serve models - Develop and support model serving and inference capabilities within Kubernetes environments - Implement workflows that support model experimentation (including notebooks), packaging, deployment and versioning - Enable scalable inference and LLM-based workloads, including serving and optimisation considerations - Work with data scientists and ML engineers to ensure the platform is usable, well documented and fit for purpose - Own platform operability, reliability, security and supportability in live production environments - Troubleshoot complex platform, workload and deployment issues across Kubernetes and MLOps layers - Contribute to architectural decisions while remaining deeply hands-on in delivery Your Experience To be successful in this role, you will bring: - Strong experience as a Senior or Lead Platform Engineer / DevOps Engineer - Deep hands-on experience building and operating Kubernetes-based platforms - Strong practical experience using Helm and infrastructure-as-code tools such as Terraform - Proven experience extending Kubernetes with higher-level platforms and services, rather than treating it as an end in itself - Strong understanding of operational concerns: monitoring, logging, incident response, reliability and maintenance - Confidence working directly with engineers and data scientists to support real workloads in production MLOps experience is highly desirable, including exposure to tools and patterns such as: - Building MLOps platforms using frameworks such as Kubeflow (or comparable approaches) - Operating model serving and inference platforms (e.g. KServe, vLLM, or comparable solutions) - Supporting LLM-based workloads, including optimisation and serving considerations - Providing notebook-based development environments (e.g. JupyterHub) within secure platforms - Exposure to emerging tooling such as InstructLab, trustworthy AI tooling, or equivalent approaches In Return You'll play a key role in enabling AI delivery at scale by building platforms that other engineers and data scientists actually want to use. This is an opportunity to lead technically, shape a practical MLOps platform, and own operational outcomes in production environments where reliability and usability matter. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Job Title: eDV Cleared Senior Data Engineer / Data Scientist (Security Cleared) Location: Preferably based in London, or with access to sites across Manchester, Cheltenham and Malvern Duration: Until March 2027 (Inside IR35) We're looking for a talented Data Engineer / Data Scientist to join a high-profile national security programme, helping to transform complex data into mission-critical insights. Working within secure environments, you'll design and deliver scalable data solutions using the Palantir platform to support intelligence, defence, and government operations. Key Skills & Experience Strong experience with the Palantir technology stack (Foundry, Gotham, AIP). Advanced SQL skills for large-scale data analysis and optimisation. Expertise in Data Modelling and designing scalable data architectures. Strong Python development skills for data engineering, analytics, and automation. Experience building and maintaining data pipelines and data platforms. Ability to work with sensitive and highly classified datasets. Strong stakeholder management and problem-solving skills. What You'll Be Doing Developing secure, scalable data pipelines and analytical solutions. Building data models and transforming complex datasets into actionable intelligence. Designing and delivering solutions within the Palantir ecosystem. Supporting critical national security, intelligence, and defence programmes. Collaborating with technical and operational teams to solve complex challenges. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer