Global Head of Risk Solutions

London, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Head of International Tax 15 months

Ocado Welwyn Hatfield, United Kingdom
On-site

Head of AI Assurance

Faculty AI London, United Kingdom
On-site Clearance Required

Head of Asset Management

Faculty AI London, United Kingdom
On-site

Head of EMEA Product Partnerships

OpenAI London, United Kingdom
Hybrid

Head of EMEA Financial Services GTM

Databricks London, United Kingdom

Head of Translational Sciences, Drug Design, Cambridge, MA

Isomorphic Labs Cambridge, United Kingdom
On-site
Job Type
Permanent
Work Location
Hybrid
Seniority
Director
Posted
5 Mar 2026 (3 months ago)

What we’re all about.

Do you ever feel driven to make things better than they were yesterday? At Quantexa, that instinct powers everything we do. Our culture of discovery, innovation, and collaboration enables us to build meaningful relationships with customers and transform the industries we serve. With over 47 nationalities represented and more than 20 languages spoken, our diverse and inclusive environment fuels creativity and impact.

We’re heading in one direction: the future.
We’d love you to join us.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

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.

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.