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Senior Machine Learning Engineer - 3D

Harnham
London
3 months ago
Applications closed

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Senior Machine Learning Engineer

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Senior Machine Learning Engineer (One Braham (4140), London, United Kingdom)

Senior Machine Learning Engineer

Senior Machine Learning Engineer

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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