Machine Learning Engineer (Imitation & Reinforcement Learning)

• Train behaviour-cloning and reinforcement-learning policies for locomotion and manipulation.
• Own the training pipeline on the sovereign GB10 / GPU estate.
• Design reward, curriculum and domain randomisation schemes.
• Measure policy performance on hardware, not only on held-out data.

• RL and imitation learning in practice
• PyTorch
• distributed training
• robotics policies deployed to real hardware
• sceptical about simulation-only results.

Salary on application

The Manchester factory comes online Q1 2027. Roles are recruited ahead of that date, with start dates agreed individually.