Data science and AI Jobs in the UK with a Sponsor Licence: 448 Open (Oct 2026)

This 12-month graduate programme involves working on real fintech projects, solving complex challenges and building practical skills through structured training and hands-on experience. It suits an ambitious recent graduate who wants to begin an applied AI engineering career in financial technology.

The work translates regulatory and business needs into requirements, data specifications and solution designs. It includes analysing credit risk data, checking lineage, quality and controls, engaging stakeholders and supporting testing and governance, so it suits someone with risk data or structured analysis experience.

This analyst supports qualitative and quantitative research, including construction application trends and broader client analytics. It suits a graduate or analyst who enjoys investigating datasets, producing useful insight and working across research projects in a business information environment.

The internship involves exploring datasets, finding trends, investigating unexpected results and answering engineering or business questions. You would use Codex, SQL and Python, work on data quality and AI-enabled automation, evaluate analytical solutions and communicate findings, making it suitable for a student or recent graduate.

This engineering role applies machine learning to a travel platform, including advanced search and other product capabilities. It suits someone starting out in machine learning engineering who wants to work with models, data and production systems that support customer-facing digital products.

The role combines finance operations with reporting, planning and business insight. Daily work includes transactions, reconciliations, month-end tasks, schedules, audit support and using business intelligence and AI-enabled tools, so it suits a graduate interested in data-informed financial control and commercial analysis.

This associate role supports operational analysis for a cyber resilience platform. It suits an early-career analyst who can work with data and stakeholders, help turn performance information into evidence, and contribute to reporting and improvements in a technology or cybersecurity setting.

The job supports financial markets sales through data reconciliation, customer performance and market trend information, database enquiries, KPI analysis, risk indicators and presentations. It suits an analyst who can coordinate across departments, communicate clearly and work in Mandarin and English in a financial markets environment.

This internship turns complex financial data into insight for decisions and change. It suits a logical, research-minded graduate or student with strong quantitative and programming ability, including an object-oriented language, and an interest in machine learning, optimisation, forecasting, numerical analysis or simulation.

The role develops and maintains reporting, dashboards, performance measures and management information for product development governance and planning. It suits an analyst who can transform business data into rigorous, useful insight and work closely with stakeholders, data engineering and analytics colleagues.

This analyst role supports data work for an AI-powered regulatory intelligence platform. It suits someone interested in turning data into reliable information for financial services compliance, working in a fast-moving software business and communicating effectively with colleagues and users.

The position owns quality measures for a search system designed for AI agents, from defining and computing metrics to improving them over time. It suits an analyst interested in search quality, fresh and verified data, and evaluating systems that support AI products.

This role sits between data engineering and analytics, preparing and analysing product, engineering and machine data while managing pipelines and dashboards. It suits someone who can translate stakeholder needs into analytical frameworks and build reliable data products and visualisations for engineering and product teams.

The work designs and builds large-scale datasets for product growth, user experiences and business insight. It involves scalable architectures, pipeline optimisation, data quality and security, working with software engineers, data scientists and product managers, so it suits a data engineer interested in product analytics.

This machine learning engineering role works with data scientists and engineering teams to build pipelines and advertising optimisation models. It suits an engineer who enjoys complex, high-volume data problems, production machine learning and collaborative work on a digital advertising platform.

The role turns briefs into working AI prototypes and products for consulting work, with an emphasis on reusable delivery and moving ideas towards production. It suits an AI engineer who can combine technical building with practical problem-solving for varied organisational challenges.

This role builds scalable data products using machine learning and AI for network monitoring, investment, predictive maintenance and customer services. It suits a data and AI professional who can translate complex needs into robust solutions and collaborate with engineers, architects and product owners.

The work involves training, understanding and deploying machine learning models across engineered solutions, proof of concepts and applied research. It suits a hands-on engineer interested in defence-related problems, but the description says applicants must be eligible for UK SC-level clearance and that visas cannot be sponsored.

This analytics engineering role builds a scalable data foundation by designing clean data models and transforming raw data into accessible information. It specifically uses SQL, dbt and Python, so it suits someone with strong data engineering skills who wants to support research and insight across an organisation.

This research and engineering role develops and evaluates algorithms and architectures in reinforcement learning, Bayesian optimisation, AI agents, large language models and vision-language models. It suits someone interested in advanced machine learning research who can turn ideas into prototypes, scalable systems and applications.