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£70,000 – £120,000 pa Remote Permanent Flexible Clearance Required

Lead Computer Vision Engineer

This role involves leading the development and deployment of cutting-edge computer vision solutions for high-stakes defence projects. You will act as a technical authority, architecting sophisticated systems, guiding multidisciplinary teams, and contributing to business development. The position offers significant autonomy and the opportunity to shape the technical strategy and mentor team members.

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Faculty AI

London, United Kingdom

£40,000 – £60,000 pa 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 talent on rigorous experiments and RCTs, contributing to the safe and responsible development of AI.

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AI Security Institute

London, United Kingdom

£50,000 – £70,000 pa 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 shape the product roadmap, ensuring it meets the needs of learning leaders and executives.

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Synthesia

London, United Kingdom

£100,000 – £150,000 pa 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

£120,000 – £150,000 pa Hybrid Permanent

Principal Engineer, Data Platforms

This role involves defining the technical vision and roadmap for Just Eat Takeaway.com's data platform, Mobius, and leading the design and governance of core data infrastructure. The Principal Engineer will act as a hands-on technical authority, mentoring senior engineers and driving the adoption of new data technologies while ensuring scalability, reliability, and security.

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Just Eat Takeaway.com

London, United Kingdom

£30,000 – £40,000 pa Hybrid Permanent

Data and Analytics Analyst

This role involves working within a growing analytics function, supporting cloud-based solutions, and collaborating on diverse digital, marketing, and data science projects. You will gain exposure to major brands, work with a supportive senior leadership team, and be continually upskilled in a modern cloud environment.

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Harnham - Data & Analytics Recruitment

London, United Kingdom

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. 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.

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

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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New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

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