Senior Machine Learning Engineer - 3D

Harnham
London, England
12 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

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

Senior Machine Learning Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Senior Machine Learning Engineer

Faculty AI London, United Kingdom
£40,000 – £80,000 pa Remote Clearance Required

Senior Machine Learning Engineer

PhysicsX North Tyneside, NE29 8EP, United Kingdom
On-site Clearance Required

Senior Machine Learning Engineer

PhysicsX London, United Kingdom

Senior Machine Learning Engineer - National Security (London)

Mind Foundry London, United Kingdom
On-site Clearance Required

Senior Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Posted
17 May 2025 (12 months ago)

Job Title: Machine Learning Engineer

Location:London 1-2 days a week

Salary:£90,000-£120,000 + 15% bonus

Visa Sponsorship:Is on offer for strong candidates


About the Role

My client is hiring aMachine Learning Engineerto join a small but impactful team at the intersection ofdeep learning, computer vision, and real-time 3D systems.


This is a chance to push the boundaries of digital human performance, runtime tracking, and facial capture—projects that directly power high-end experiences.


You’ll collaborate closely with a world-class VFX team, helping automate and optimize artist pipelines while building cutting-edge ML models that work with 3D data and real-world runtime systems.


What You’ll Be Working On

  • Designing and training deep learning models end-to-end
  • Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers)
  • Building real-time tracking systems for devices
  • Working with 3D geometry, meshes, and tools like Blender
  • Supporting automation efforts to streamline creative production pipelines


What We’re Looking For

  • Solid experience with deep learning and 3D modelling
  • Strong Python skills
  • Proficiency in C++ (especially for low-level or runtime systems)
  • Familiarity with GenAI and recent ML research trends
  • Exposure to 3D environments, animation, or game engines
  • Comfort working in cross-disciplinary teams (engineering x creative)
  • A portfolio of personal or open-source projects (GitHub is a plus)


Nice to Have

  • Engineering background with a transition into ML/AI
  • Prior work in gaming, VFX, graphics, or interactive media
  • Understanding of facial capture, digital humans, and animation tech


Interview Process

  • Intro Call (30 mins):CV walkthrough + high-level tech screen
  • Technical Interview (1 hour):Engineering, ML, and applied problem-solving
  • Final Onsite (4–5 hours):Meet the team, dive deeper, enjoy lunch

Industry Insights

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

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

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. 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 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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.