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Machine Learning Engineer - C++

Harnham
London
5 days ago
Applications closed

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Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Job Title: Machine Learning Engineer

Location:London 1-2 days a week

Salary:£90,000-£110,000 + 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 computer vision
  • Proficiency in C++ (especially for low-level or runtime systems)
  • Familiarity with GenAI and recent ML research trends
  • Strong Python skills
  • 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
National AI Awards 2025

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