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Featured Jobs

Remote Permanent Flexible Clearance Required

Lead Computer Vision Engineer

Lead the development and deployment of cutting-edge computer vision systems for high-impact defence applications, bridging advanced research with real-world operational needs. Architect scalable solutions, mentor technical teams, and shape strategic AI capability in a security-cleared environment. Work across the full project lifecycle from R&D to production, ensuring ethical and reliable AI integration.

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Faculty AI

London, United Kingdom

On-site Contract Part-time

Research Assistant - Human Influence

The role involves designing and running studies to understand how frontier AI systems influence human attitudes and behavior, focusing on risks to human agency and wellbeing. You will work with top technical talent, run large-scale RCTs, and have the opportunity to lead-author or co-author publications.

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AI Security Institute

London, United Kingdom

Hybrid Permanent

Product Manager, Analytics

This role involves owning the end-to-end analytics product for enterprise learning and development, focusing on individual learner progress, programme-level reporting, and leadership views. You will work closely with customers, the engineering team, and designers to define and build a product that provides actionable insights and trusted data for learning leaders and executives.

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Synthesia

London, United Kingdom

£620 – £680 pd On-site Permanent Clearance Required

Data Scientists (SC Cleared)

As an Applied Data Scientist, you will work on complex AI, NLP, and machine learning challenges for UK intelligence clients. You'll collaborate with engineering teams to build, train, and deploy models using modern cloud-native technologies in a highly secure environment, with a focus on innovation and experimentation.

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Experis

Hayden, Gloucestershire, GL51 0SP, United Kingdom

Hybrid Permanent

EMEA Energy Industry Go-To-Market (GTM) Leader

This role involves leading the go-to-market strategy for Databricks in the energy sector across EMEA. Key responsibilities include setting the AI vision with top energy accounts, driving pipeline growth, and building cross-functional alignment with sales, engineering, and marketing teams. The position requires deep industry expertise and a proven track record in strategic consulting and technology commercialization.

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Databricks

United Kingdom

On-site Permanent

Software Engineer (Data Services), London

This role involves working in a fast-paced, interdisciplinary team to build a cutting-edge ML-based software platform for drug discovery. Responsibilities include data engineering, service-oriented architecture, and collaboration with scientists and ML researchers to transform the bio-pharmaceutical industry.

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Isomorphic Labs

London, United Kingdom

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Career Advice

Advance your Data career with expert advice, practical job search tips, and insightful industry guides.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

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