About the company:
Our client is a London-based robotics company building humanoid and mobile-platform robots for industrial use: manufacturing, logistics, warehousing, and construction. The focus is industrial deployment, not consumer or home robots. The company works with major industrial partners across Europe, the US, and APAC, and has run successful proof-of-concept deployments with several large manufacturers.
Responsibilities:
- Post-train and fine-tune VLA models for defined industrial manipulation tasks.
- Develop and improve learned manipulation policies using approaches such as behavioral cloning, imitation learning, and reinforcement learning.
- Run experiments on physical robot prototypes and iterate based on real-world performance.
- Work with data collection and teleoperation pipelines to build and refine training data for manipulation tasks.
- Collaborate with Controls, Simulation, and Hardware Design teams to move policies from simulation to deployment.
- Evaluate model performance, diagnose failure modes, and drive measurable improvements in task success rates.
Requirements:
- Hands-on experience with robotic manipulation, from either industry or academia.
- Practical experience with learned manipulation policies: VLA fine-tuning, behavioral cloning, imitation learning, or related methods.
- Proficiency in Python and modern ML frameworks such as PyTorch or JAX.
- Experience with robotics simulation environments, for example IsaacSim or MuJoCo.
- Familiarity with reinforcement learning and vision-language models.
- Willingness to work on-site in London daily, including with physical robot hardware.
Considered a plus:
- Experience bridging simulation and real hardware (sim-to-real).
- A PhD or research background in robotics, robot learning, or a related field, ideally with applied or industry-collaboration exposure.
- Published work or shipped systems involving manipulation.
Working conditions:
- Competitive base salary, with equity on top (level-dependent), giving early team members meaningful upside ahead of the funding round closing.
- Private health insurance.
- Pension scheme: 5% employee contribution, 3% employer contribution, plus 20% tax relief.
- 23 days of annual leave, plus the Christmas period and UK bank holidays.
- 15 paid sick days.
- 3 weeks of maternity and paternity leave.
- Relocation support: reimbursement of up to £8,000 for international moves and up to £2,500 for domestic moves (covering shipping, travel, temporary accommodation, and legal fees).
- Visa sponsorship: Skilled Worker Visa as standard, Global Talent Visa in exceptional cases.
Send your CV on Telegram: @bkvirn