1,526 to 1,550 of 4,931 Data Science Jobs in the UK

/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 ...

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 ...

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 ...

Will Be Working With You will join the Data Trust Capability in Capgemini’s Insights and Data (I&D) business unit. Insights and Data is a global business unit covering Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics. Please Note Security Clearence … seeking delivery-focused individual with client-facing experience to drive business analysis for our client businesses. You will often support the relevant Business Owners, Data Stewards and other technical forum members, as required, by providing Data Management expertise. The Business Analyst will be responsible for shaping business processes ...

/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 ...

recruiting for an Analytics Engineer to join our Tech & Data department at Admiral Money. About Us Admiral Money is the dynamic lending arm of Admiral Group, offering personal loans, motor finance, and homeowner loans since 2017. We’re building something special for our customers and are looking for curious … Need support during the recruitment process? Just let us know – we’re here to help. Role Purpose The beating heart of Admiral Money is data, making this role an exciting opportunity to do work that has a meaningful impact on the core objectives of the business. In short ...

offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.Job DescriptionAs a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth … North Star and tracking metrics, working closely with product managers and product data scientists to shape the product’s evolution at Checkout.You'll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas. You'll have ...

DoorDash builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership … problems are backend and platform problems. You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. ...

Kong, Tokyo, Toronto, Australia, Singapore, and China. The Research & Sustainability team delivers strategic initiatives that enhance investment decision-making through modern research workflows, investment data platforms, sustainability capabilities, advanced analytics, and AI-powered solutions. We are increasingly leveraging Large Language Models (LLMs), frontier AI models, and agentic workflows … making, research productivity and workflow efficiency. Lead the transformation of research and sustainability workflows through Generative AI, agentic workflows, advanced analytics and modern investment data platforms. Define and prioritise product requirements, success metrics and business outcomes, ensuring solutions deliver measurable value, user adoption and operational efficiency. Collaborate with Product ...

/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 ...

/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 ...

from research and experimentation through to production, working on technically challenging problems where AI has real-world impact. Youll work alongside machine learning engineers, data scientists and technical teams to design, build and deploy scalable ML systems - with the autonomy to shape technical approaches and engineering best practice. What … reusable components that accelerate the delivery of AI systems. Make architectural and technical decisions around ML systems, infrastructure and deployment. Work closely with data scientists and engineers to turn research and models into reliable production systems. Apply strong software engineering practices to machine learning codebases and infrastructure. Help define ...

from research and experimentation through to production, working on technically challenging problems where AI has real-world impact. Youll work alongside machine learning engineers, data scientists and technical teams to design, build and deploy scalable ML systems - with the autonomy to shape technical approaches and engineering best practice. What … reusable components that accelerate the delivery of AI systems. Make architectural and technical decisions around ML systems, infrastructure and deployment. Work closely with data scientists and engineers to turn research and models into reliable production systems. Apply strong software engineering practices to machine learning codebases and infrastructure. Help define ...

developing reusable engineering patterns Hands-on experience with AWS and/or Microsoft Azure, ideally across both platforms Experience developing APIs, services and reliable data or AI pipelines Strong knowledge of LLMs, AI agents, knowledge assistants and modern AI application development Experience operating AI/ML solutions in production … including monitoring, evaluation, incident management and performance optimisation Understanding of CI/CD, infrastructure-as-code and secure software development practices Strong knowledge of data protection, privacy, security, model risk and responsible AI principles Experience with Terraform, particularly within AWS environments, would be advantageous Familiarity with containerisation and workflow ...

Architect/Engineer (Agentic AI & LLM Architecture) Permanent contract UK Wide (London, Edinburgh, Manchester, Leeds, Birmingham) Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from … their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description As our AI practice scales ...

deployment, timelines, dependencies, deliverable quality, client governance, scope management and engagement economics Assess an organisation’s AI maturity, strategic ambition, business priorities, technology landscape, data readiness, talent base and governance capabilities and translate findings into clear strategic recommendations, investment priorities and executive decision points Identify, quantify and prioritise … customer outcomes, linking opportunities to measurable business impact. Develop and prioritise portfolios of AI use cases using commercial value, strategic relevance, feasibility, risk, data readiness and time-to-impact criteria Define target AI operating models, including decision rights, governance, funding, delivery structures, talent requirements and collaboration between business, technology ...

successful candidate will have 6+ years' experience in Python, ML model deployment, and cloud‐native platforms, with a strong MLOps mindset and collaboration across data scientists, platform engineers, and product #J-18808-Ljbffr ...

Because while individuals can do well, together we achieve something extraordinary. Role Purpose We are building a new R&D capability focused on developing data-driven and AI-enabled products for legal services and the wider business of law. The Full-Stack Product Engineer will own the user-facing … through which lawyers and business teams use R&D products. This is a frontend-led full-stack role: you will turn complex, document- and data-heavy workflows into clear, useful and well-crafted experiences, while building the integrations and application services needed to take products from concept to controlled ...

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 ...

dependencies, deliverable quality, client governance, scope management and engagement economicsDeliver enterprise AI strategiesAssess an organisation’s AI maturity, strategic ambition, business priorities, technology landscape, data readiness, talent base and governance capabilities and translate findings into clear strategic recommendations, investment priorities and executive decision pointsIdentify, quantify and prioritise AI value … risk and customer outcomes, linking opportunities to measurable business impact.Develop and prioritise portfolios of AI use cases using commercial value, strategic relevance, feasibility, risk, data readiness and time-to-impact criteriaDefine target AI operating models, including decision rights, governance, funding, delivery structures, talent requirements and collaboration between business, technology ...

expertise in SW products enabled via one or more of the following technologies: artificial intelligence/machine learning, medical image analysis, NLP, big data, etc. Other Competencies (Behavioural, Leadership) Strategic mindset - Seeing ahead to future possibilities and translating them into breakthrough strategies. Cultivates innovation - Creating new and better ways … field (or equivalent and related experience). Experience 8-10 years of experience in software product management, either as a product manager, product owner, data scientist, software engineer, or in a role associated with software development 5-8 years of experience in building and clearing Software as Medical Devices ...

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 ...

platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth … frontend enablement Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams and collaborating closely with product managers, data scientists, and DevOps engineers Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top-tier performance, security, and reliability ...