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Machine Learning Engineer - National Security (Gloucestershire)

Gloucester, England, United KingdomWe’re looking for aMachine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Machine Learning Engineer, you’ll develop robust, production-ready machine learning...

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Mind Foundry

Gloucester, Gloucestershire, United Kingdom

On-site Permanent Clearance Required

Senior Machine Learning Engineer - National Security (London)

We’re looking for aSenior Machine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Senior Machine Learning Engineer, you’ll lead onsite engagements with clients and...

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Mind Foundry

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 the engineering manager, designer, and customer-facing teams to define the product roadmap, gather customer insights, and ensure the analytics product is trusted and actionable.

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Synthesia

London, United Kingdom

Hybrid Permanent Flexible Clearance Required

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 CV systems, guiding multidisciplinary teams, and contributing to business development by identifying new opportunities for advanced visual intelligence.

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Faculty AI

London, United Kingdom

On-site Permanent

Research Engineer/Research Scientist – Model Transparency

This role involves researching and developing methods to ensure the reliability of AI system evaluations and monitoring, focusing on model transparency. You will work on cutting-edge projects, collaborate with leading AI labs and government officials, and contribute to the safety and alignment of advanced AI systems.

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AI Security Institute

London, United Kingdom

On-site Permanent

Partner AI Deployment Engineer - AWS

This role involves serving as a senior technical counterpart to AWS field leadership, shaping joint account strategy, and leading complex enterprise engagements from ideation to production. You will design AI architectures, build prototypes, and enable AWS partners to independently drive deployments.

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OpenAI

London, United Kingdom

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Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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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Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened 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 machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning 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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