Head of Machine Learning

Harnham
London, England
10 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 Medicinal Chemistry, Drug Design, London

Isomorphic Labs London, United Kingdom
On-site

Head of Chemistry, Drug Design, Cambridge, MA

Isomorphic Labs Cambridge, United Kingdom

Head of Computational Drug Design, Cambridge, MA

Isomorphic Labs Cambridge, United Kingdom

Head of Translational Sciences, Drug Design, Cambridge, MA

Isomorphic Labs Cambridge, United Kingdom
On-site

Director of Engineering (ML Platform), London

Isomorphic Labs London, United Kingdom
On-site

Senior Machine Learning Data Scientist - Credit Risk

Martin Veasey Talent Solutions Northampton, Northamptonshire, United Kingdom
£80,000 – £120,000 pa Hybrid
Posted
8 Jul 2025 (10 months ago)

Head of AI
Salary: £110,000-£130,000 + equity/benefits

Location: London - 4 days a week in office

Manage and lead a dynamic team of Machine Learning Engineers working on high-impact, computer vision models in the media and gaming space.

ROLE AND RESPONSIBILITIES

Working closely within a small team of 5, to build and scale ML models focusing on Computer Vision
Working alongside technical and non-technical stakeholders
Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform
Opportunity to upskill and manage whilst doing code reviews, reporting into the CTO

SKILLS AND EXPERIENCE

Required
MSc or PhD in STEM related subject + experience in ML Engineering
Proficiency in Python, PyTorch, TensorFlow and AWS
Then experience in leading projects across Computer Vision
Management and leadership experience is required
Excellent communication skills with proven experience working with stakeholders
Previous startup experience is preferred

This role is looking for someone with a short notice period, ideally starting in March/early April.

Apply below!

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.