Senior Robot Learning Engineer - Large Behaviour Models Bristol (On-site) Competitive Salary Full-time, PermanentWe 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 RoleYou 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 pipelinesMulti-task, language-conditioned manipulation policiesSim-to-real transfer and real-world deploymentKey ResponsibilitiesDesign, train, and deploy end-to-end robot learning modelsScale diffusion transformer and VLA-based architecturesDevelop generalisable, multi-task manipulation policiesAdvance RL pipelines for fine-tuning beyond imitation learningBuild sim-to-real transfer workflowsCollaborate across perception, MLOps, and robotics teamsContribute to research direction and publish at top-tier venuesRequirementsMSc/PhD in ML, Robotics, Computer Science or similarStrong experience in robot learning for real-world systemsExpertise in at least two of:Behaviour cloningDiffusion modelsReinforcement learningVision-language-action modelsStrong PyTorch and distributed training experienceProven research or applied impact (publications, systems, OSS)Nice to HaveHumanoid or bi-manual manipulation experienceSim-to-real experience (MuJoCo, Isaac Sim, etc.)Experience with CLIP, DINOv2, or similar modelsRL fine-tuning techniques (residual RL, DPPO, etc.) Apply Now