Senior Machine Learning Engineer - 3D

Harnham
London, England
11 months ago
Applications closed

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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 a Machine Learning Engineer to join a small but impactful team at the intersection of deep 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

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Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.