Robotics Learning Engineer

Senior Robot Learning Engineer – Large Behaviour Models

Bristol (On-site)

Competitive Salary

Full-time, Permanent

We are working with a cutting-edge robotics company developing advanced humanoid systems for real-world manipulation tasks. They are seeking aSenior Robot Learning Engineer to lead the development of large behaviour models for complex, bi-manual robotic manipulation.

This role sits at the intersection ofrobot learning, foundation models, and real-world deployment, offering the opportunity to bring state-of-the-art research into production systems.

The Role

You will take ownership of scaling and deploying advanced policy architectures across a humanoid robotics platform, working on:

• Large behaviour models (diffusion, transformer-based, VLA/VLM)
• Reinforcement learning and imitation learning pipelines
• Multi-task, language-conditioned manipulation policies
• Sim-to-real transfer and real-world deployment

Key Responsibilities

• Design, train, and deploy end-to-end robot learning models
• Scale diffusion transformer and VLA-based architectures
• Develop generalisable, multi-task manipulation policies
• Advance RL pipelines for fine-tuning beyond imitation learning
• Build sim-to-real transfer workflows
• Collaborate across perception, MLOps, and robotics teams
• Contribute to research direction and publish at top-tier venues

Requirements

• MSc/PhD in ML, Robotics, Computer Science or similar
• Strong experience in robot learning for real-world systems
• Expertise in at least two of:
• Behaviour cloning
• Diffusion models
• Reinforcement learning
• Vision-language-action models
• Strong PyTorch and distributed training experience
• Proven research or applied impact (publications, systems, OSS)

Nice to Have

• Humanoid or bi-manual manipulation experience
• Sim-to-real experience (MuJoCo, Isaac Sim, etc.)
• Experience with CLIP, DINOv2, or similar models
• RL fine-tuning techniques (residual RL, DPPO, etc.)

Apply Now