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 a Senior Robot Learning Engineer to lead the development of large behaviour models for complex, bi-manual robotic manipulation.
This role sits at the intersection of robot 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