1,001 to 1,025 of 3,047 Data Science Jobs in England

keep going, and growing, SMEs need finance that’s as flexible and responsive as they are.That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when … arrive pre-qualified and often pre-financed.You'll join an early-stage venture with the autonomy and pace of a startup, backed by the data, infrastructure, and credibility of an established lender. You'll work directly with the Venture Lead and alongside our Deal Team of buy-side ...

infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.Implement automated systems for continuous training, validation, and monitoring … troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.Qualifications:Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.3+ years of experience working with machine learning and artificial intelligence technology.Strong understanding of core machine learning ...

automation, variance analysis, forecasting, close acceleration, anomaly detection, working capital optimization, and management insightsTranslates finance business problems into AI-enabled solutions, working effectively with data science, technology, risk, and business stakeholders to shape feasible pilots and scalable implementationsApplies AI tools responsibly to accelerate problem solving, analysis, synthesis, document … creation, and knowledge development while maintaining strong quality control, confidentiality, and human judgmentUnderstands the data, process, governance, and change-management requirements needed to move AI solutions from proof of concept to embedded business adoptionLeads execution of case modules; guides junior CT and Vantage members with strong awareness of quality ...

infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance. Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases. Implement automated systems for continuous training, validation … performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage. Qualifications Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3+ years of experience working with machine learning and artificial intelligence technology. Strong understanding of core ...

related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organizationEducationBachelor's degree required; advanced degree in business, technology, data science, or a related field preferredResponsibilitiesThis Director will play a critical leadership role within the GenAI product function, managing a group … delivers client-focused digital solutions that enable customers to assess risk and make informed decisions. The GenAI product team builds on Moody's trusted data, research, and platforms to develop innovative AI-powered capabilities, including agentic solutions and APIs, empowering clients to access and act on Moody's intelligence ...

architect of the infrastructure that makes world-class AI possible. Working closely with the Applied AI team, you’ll be building and maintaining the data science, MLOps, and deployment tooling that empowers our team of over 100 Data Scientists and Engineers. You will take ownership ...

delivering exceptional quality to our client base, providing consulting services across Risk, Regulation & Compliance; Vendor Products; Application Support; Application Development; Cyber & Information Security; Data Science and DevOps areas. Our Expert program offers experienced professionals access to top roles in tech, finance, aviation and insurance. Join us to work … coverage, testing processes and release quality. Mentor and provide technical guidance to other QA Engineers within the programme. Skills Required: Bachelor's in computer science or related field Years of experience: 8-10 years Extensive hands-on experience in QA Automation and Test Engineering within enterprise environments. Proven experience ...

stakeholders.Contribute to security governance, compliance, and regulatory assessments within financial services environments.Support third-party and supply chain security reviews.Collaborate with cyber security consultants, architects, data scientists, risk specialists, and client teams on complex transformation programmes.Develop expertise in industry frameworks, regulatory requirements, and cyber security best practices.Essential Qualifications:Bachelor … degree in Cyber Security, Computer Science, Information Technology, Engineering, Mathematics, Business, or a related field. Experience in cyber security, technology risk, IT audit, technology consulting, engineering, or a related discipline. Demonstrated interest in cyber security and emerging technologies. Understanding of core cyber security principles, including risk management, defence ...

envision its most powerful applications, and to make them happen.About the TeamBringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.We partner with major pharma firms, academic …/software, tools, and scalable infrastructureDefining and implementing best practices and standards for deploying machine learning at scale across the businessCollaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunitiesActing as a trusted technical advisor to customers and partners, translating complex ...

/Week Onsite) Type: Contract Inside IR35 Exp: 5 to 10 Years A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven Note: Investment banking … required. Key Responsibilities Backend Development (Python) Build APIs and services using Python frameworks (Flask, FastAPI, Django). Integrate with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta ...

seeking an experienced Azure MLOps Engineer to support the deployment, automation, and management of machine learning solutions within Azure. Working closely with architects, data scientists, forecasting teams, developers, and DevOps engineers, you will help deliver scalable, secure, and reliable MLOps platforms supporting large-scale data processing and real … Azure-based MLOps infrastructure. Build and support Azure DevOps CI/CD pipelines for ML artefacts. Implement monitoring, logging, security, and governance controls. Manage data pipelines, storage solutions, data versioning, and lineage tracking. Support real-time inference and scalable ML workloads, including auto-scaling. Collaborate with technical ...

Machine Learning Engineer London | Outside IR35 £500-£600 per day The Company They are a well-established retail business investing heavily in their data and AI capabilities. Data plays a central role in shaping strategy across the organisation, with a strong focus on delivering measurable business outcomes through … Deliverables Design, build, and deploy machine learning models into production environments. Develop scalable ML pipelines to support model training, testing, and monitoring. Collaborate with Data Scientists and Data Engineers to operationalise machine learning solutions. Optimise model performance, reliability, and scalability across retail use cases. Support the development ...

Engineer London | Outside IR35 £450-£600 per day The Company They are a well-established retail business investing significantly in data, AI, and cloud technologies. Their focus is on leveraging AI to enhance customer experiences, improve operational efficiency, and create innovative digital products. You will join a collaborative team … solutions. Build and maintain scalable AI pipelines and production-ready systems. Develop solutions leveraging Large Language Models (LLMs) and generative AI technologies. Collaborate with Data Scientists, Data Engineers, and business stakeholders to deliver AI-driven products. Optimise the performance, reliability, and scalability of AI applications. Support the development ...

/CD, monitoring, alerting, and disaster recovery; Develop MLOps capabilities with Terraform and AWS infrastructure; Support ML governance for hundreds of models; Build data engineering solutions for distributed processing at terabyte scale; Prove the value of new methodologies and algorithms across cross-team domains; Estimate and measure impact; Mentor … junior members in experiment design. Требования Extensive experience with end-to-end distributed data systems, especially ML-centric systems; Previous experience as a Data Scientist in a large-scale product team or business; Excellent Python and Software Engineering knowledge; Ability to work with Java when needed; Demonstrable experience ...

Machine Learning Engineer DATA & MACHINE LEARNING | FINANCIAL SERVICES Most machine learning roles focus on building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data … model registry. Monitor production ML services and manage model upgrades and retirement. Use Terraform and Docker to create scalable, repeatable infrastructure. Work with data scientists to turn research code into maintainable production software. Collaborate with data, platform and application engineers to integrate ML services into products used across ...

actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models; it now needs the engineering capability to deploy them properly, monitor them and make them usable across the organisation. … model registry. Monitor production ML services and manage model upgrades and retirement. Use Terraform and Docker to create scalable, repeatable infrastructure. Work with data scientists to turn research code into maintainable production software. Collaborate with data, platform and application engineers to integrate ML services into products used across ...

/ML-enabled capabilities. You will work closely with Operations, Technology, and Compliance to modernize processes end-to-end, strengthen controls and data quality, and ensure change is implemented smoothly with minimal disruption to business-as-usual delivery.Job responsibilitiesServe as an SME for payments operations and regulatory reporting, grounding … Technology, and Compliance to ensure solutions are practical, fit-for-purpose, and controllable.Assess regulatory change impacts on reporting processes, controls, and end-to-end data flows.Lead delivery of transformation workstreams: report automation, platform rollouts, migrations, and re-engineering.Drive adoption of intelligent automation (including AI/ML) in partnership with ...

About RoleWe are looking for an AI Supply Chain Subject Matter Expert to help clients transform their end-to-end supply chains using Data, AI, Generative AI and agentic AI. This role combines deep supply chain domain expertise with a practical understanding of digital and AI capabilities to identify … supply chain functions, including demand planning, supply planning, procurement, manufacturing, logistics, inventory optimization, and service operations.Evaluate and build business cases by assessing business value, data readiness, process maturity, technology fit, and implementation feasibility for AI use cases.Design AI transformation roadmaps and solutions by translating business requirements into actionable plans ...

more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. … solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending ...

that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person.Our Data EnvironmentOur Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. … Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech.We are looking for talented engineers at all levels to join the team. We value ...

capabilities, with the engineering discipline to evolve the successful ones into production-grade services.Cloud platform services - designing and building the services, APIs, and data layers that new AI capabilities run on, integrating with large, established ERP products.Production readiness - bringing R&D output up to enterprise standard: reliability, observability, security … accessible user interfaces that integrate with enterprise web shells, APIs and backend services.Experience designing and integrating enterprise information systems, with a strong understanding of data flows, system boundaries and the operational impact of change.Ability to work effectively with data scientists and other AI specialists to turn data ...

success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi‐disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high‐impact features – we favour a highly iterative ...

over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.Ready to join us Your RoleWe're hiring a Senior MLOps Engineer for our Hardware Group to build and scale the machine …/INT8), calibration, and engine validation to ensure models run reliably and efficiently on target devices.Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers, and Product Managers to ensure smooth integration of complex features and capabilitiesDrive automation and reliability. You'll implement infrastructure to silently ...

toil using your software development skills and experience;Ensuring that systems are safe and secure against cybersecurity threats;Working closely with software engineers and data scientists;Being involved in the technical design of architecture and making technical decisions;Cloud-first engineering;Ongoing opportunities to further develop your skills;Care … able to review relevant benchmarks - we ask GeeCees to voluntarily disclose diversity data. This year, the proportion of GeeCees providing data increased to 88% (up from 79% in 2024). With regards to diversity within GoCardless, we can see GeeCees identifying as:Asian, Black, Mixed or Other — 25%Neurodiverse ...

software, tools, and scalable infrastructure Defining and implementing best practices and standards for deploying machine learning at scale across the business Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities Acting as a trusted technical advisor to customers and partners ...