Job Description
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.)
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