1,251 to 1,275 of 3,077 Data Science Jobs in England

looking for an Analytics Platform Engineer to help design, develop and enhance a modern analytics platform that supports the delivery of business-critical data solutions. This role will see you building and maintaining scalable platform capabilities, troubleshooting existing services, and providing technical support to Data Scientists and MLOps … support. Develop new platform capabilities while enhancing and maintaining existing analytics solutions. Troubleshoot technical issues, implement improvements and optimise platform performance. Collaborate closely with Data Scientists, MLOps Engineers and other technical teams to deliver reliable, secure and high-performing solutions. Adapt to a varied workload, solving complex engineering challenges ...

stay curious together. Learn more at .What will you be doing? The Liquid AI Team is looking for someone who is passionate about leveraging data, analytics and AI to help clients solve critical business questions more effectively and efficiently leveraging Circana Brainwaves. We are seeking a dynamic and experienced … Liquid AI Brainwave Designer, you will play a pivotal role in designing the blueprints for the future Brainwaves that will transform raw data into actionable insights and compelling narratives that drive better business decisions in the most efficient way possible for our clients.Responsibilities:Job ResponsibilitiesDesign Future Circana Brainwaves: Accountable ...

/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 responsibilities Serve as an SME for payments operations and regulatory … 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 ...

models to detect financial crime and fraud, while protecting genuine customers and optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part … contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs Adapt quickly to changing fraud ...

Principal Software Engineer (AI) Department: Tech - AI and Data Engineering Employment Type: Permanent - Full Time Location: Oxford, UK Description Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval) Aurora helps governments, investors, and utilities make billion-dollar decisions … where LLMs autonomously plan, and call tools, to navigate large, multi-dimensional, fast-evolving data. Your work will amplify the value of Aurora's data, models, and forecasts to researchers, investors, and policy‐makers around the world, and directly impact the decisions that drive the decarbonisation of grids around ...

rapid PoC and MVP exploration of new AI capabilities and evolve successful ones into production‐grade services. Design and build cloud platform services, APIs, data layers, and integrate them with large, established ERP products. Bring research & development output up to enterprise standard: reliability, observability, security, multi‐tenancy, and safe … user interfaces that integrate with enterprise web shells, APIs, and backend services. Experience designing and integrating enterprise information systems with a deep understanding of data flows, system boundaries, and operational impact of change. Ability to collaborate effectively with data scientists and other AI specialists to convert data ...

expansion, and value realization by partnering closely with customer success, delivery, product, and sales teams. This is a high-impact role for a consultative, data-driven relationship builder with a deep understanding of retail and enterprise SaaS.Job DescriptionResponsibilities:Account ownership and strategyOwn a defined portfolio of EMEA accounts post … demonstrate business impact.Partner with Customer Success and Delivery to ensure on-time implementations, adoption, and outcome attainment.Proactively identify opportunities to improve solution usage, data quality, and process integration.Commercial managementLead renewals end-to-end: term strategy, pricing, negotiation, and closure.Drive expansion (upsell/cross-sell) across our portfolio (e.g., merchandising ...

keep our customers’ needs at the centre of every decision while building effective controls that help Wise onboard businesses safely and compliantly. We use data, research, customer feedback and operational insights to identify the most important problems, reduce unnecessary friction and strengthen our verification processes.At Wise, teams have … code quality.What do you need A strong product mindset and passion for user experience, you prioritise work with the customers in mind and make data-driven decisions to fix customer pain-pointsExperience of Java or other JVM based language, experience with Spring framework and deep understanding of JDBC ...

Head of Learning & Development (Global)London, UK About DatatonicDatatonic is a leading global data and AI consultancy, driving business transformation for the world’s most ambitious brands. As a premier Google Cloud Partner, we combine cutting-edge technology with top-tier talent to deliver high-impact solutions across Cloud … Data Engineering, Analytics, and Advanced Machine Learning/Generative AI.We don't just implement technology; we foster a continuous learning culture. We are looking for a visionary, commercial, and deeply strategic Head of L&D to own our global learning ecosystem, scaling our internal technical excellence and commercialising ...

Head of Learning & Development (Global) London, UK About Datatonic Datatonic is a leading global data and AI consultancy, driving business transformation for the world's most ambitious brands. As a premier Google Cloud Partner, we combine cutting-edge technology with top-tier talent to deliver high-impact solutions across … Cloud Data Engineering, Analytics, and Advanced Machine Learning/Generative AI. We don't just implement technology; we foster a continuous learning culture. We are looking for a visionary, commercial, and deeply strategic Head of L&D to own our global learning ecosystem, scaling our internal technical excellence ...

team you'll be working with: Senior Content Designer - Strategy and Design - (P3) About NTT DATA and Tangity NTT DATA is a trusted global innovator with over 100,000 professionals in 50+ countries. Headquartered in Tokyo, we bring elements of our Japanese heritage, precision, long-term thinking … work across telecoms, financial services, manufacturing, and the public sector, delivering end-to-end services from strategy to implementation. Tangity, part of the NTT DATA Design Network, is a global design studio dedicated to humanising complexity. We combine Strategy, Technology, and Design to create meaningful, inclusive, and impactful services ...

requires a seasoned Business Analyst with strong knowledge of Commodities Trading, Products Trading, Supply & Distribution, Logistics, Risk Management, and Commercial optimisation.Experience working on AI, data, analytics, or digital transformation initiatives is highly desirable.Key ResponsibilitiesBusiness Analysis LeadershipLead discovery, analysis, process modelling and requirements definition activities across multiple strategic initiatives.Translate business … ProcessesAI & Digital Product Enablement (Must Have):Identify opportunities to leverage AI and Generative AI capabilities within trading and commercial workflows.Work closely with AI engineers, data scientists, and developers to define and deliver AI-enabled solutions.Support product discovery, MVP definition, and scaling of successful AI products. Translate business use cases ...

Here's a summary of the role Data is only powerful when everyone agrees what it means. This is your chance to build a world class product behavioural data system and process from the ground up. We're rebuilding the internal product our teams use to measure product … across all our 24+ products in four business units. You'll design the single source of truth: the metric definitions, the telemetry standards, the data contract engineering instruments against, the change governance processes and tooling, and the models that turn behaviour into portfolio insight. You'll educate and support ...

seasoned Business Analyst with strong knowledge of Commodities Trading, Products Trading, Supply & Distribution, Logistics, Risk Management, and Commercial optimisation. Experience working on AI, data, analytics, or digital transformation initiatives is highly desirable. Key Responsibilities Business Analysis Leadership Lead discovery, analysis, process modelling and requirements definition activities across multiple strategic … Processes AI & Digital Product Enablement Identify opportunities to leverage AI and Generative AI capabilities within trading and commercial workflows. Work closely with AI engineers, data scientists, and developers to define and deliver AI-enabled solutions. Support product discovery, MVP definition, and scaling of successful AI products. Translate business ...

delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic … classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across ...

innovate GenAI training techniques and integrate practical improvements into workflows.Stay current on emerging GenAI research, tools, and workflows; prototype creative implementations.Work with data scientists, software engineers, and product managers to translate creative/production needs into technical solutions.Monitor and optimise model performance for efficiency and quality (inference speed, VRAM … able to meet deadlines.Nice to HaveVFX or compositing experience (Nuke or similar), especially facial/beauty integration.Python + ML engineering experience (training automation, data pipelines, evaluation tooling).Experience with face-swap systems and face workflows.About UsWe are DNEG, one of the world’s leading visual effects and animation companies ...

prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles ( the Role As a News Taxonomist (Senior Data ...

cloud infrastructure. Responsibilities Building and deploying production-grade ML software, tools and infrastructure Developing scalable and reusable ML solutions Working closely with engineers, data scientists and clients Contributing to technical architecture and solution design Helping define best practices for deploying ML at scale Advising clients and translating complex ...

serious about the quality of our production operation, and have thorough system, application, and user interaction monitoring and anomaly detection.We are passionate about data-driven decision-making.Our teams are integrated, with developers, product managers, designers, and data scientists working side-by-side.And, dogs in the office. Bring yours ...

Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML systems. Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges. Leading technical scoping and architectural decisions to ensure project feasibility and impact. Defining and implementing ...

Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML systems. Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges. Leading technical scoping and architectural decisions to ensure project feasibility and impact. Defining and implementing ...

doing:Building and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions that accelerate the delivery of ML systems.Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.Leading technical scoping and architectural decisions to ensure project feasibility and impact.Defining and implementing Faculty’s standards ...

your team and the wider business unit. Acting as both a technical authority and a mentor, you’ll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. What you'll be doing ...

Creating reliable, reusable, and scalable frontend and backend architectures to enable the seamless delivery of advanced AI systems.Leading engineers within cross-functional teams—alongside Data Scientists and Product Managers—to deploy technically sophisticated, high-impact software.Designing and architecting robust project frameworks that maintain a balance between rapid prototyping ...

Sperry Rail is seeking Full Stack Engineers with a data science focus to design, build, and maintain data-driven applications behind Zula 2.0, the platform that ranks and fuses outputs from rail inspection systems. You will work across the full stack with emphasis on backend data processing, analytics, and ML workflows hosted on AWS. Bring strong Python, data pipelines, AWS experience, and a collaborative mindset to translate rail inspection requirements into scalable technical solutions while #J-18808-Ljbffr ...