RL Robotics Engineer - Real-World Robot Control

Sponsor Finder; Greater London; Híbrido; GBP 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Relocation support

Learning allowance

Health & wellness

Social events

Enhanced parental leave

Remote work option during pregnancy

Descripción de la vacante

Helsing is a defence AI company delivering reinforcement learning-based robotics capabilities for real-world decision-support. You will design, train and deploy RL controllers for robots operating in dynamic environments with hardware constraints.

You will work across simulation to real-world deployment, leveraging modern RL methods, physics-based simulators and robust software engineering practices. Join a fast-moving, mission-driven team shaping responsible AI in defence.

Formación

• MSc or PhD in Robotics, ML, Control Engineering, or a closely related field with a focus on reinforcement learning and robot control.
• Hands-on experience training and deploying RL-based controllers on real robotic hardware.
• Proficiency with modern RL for continuous control (PPO, SAC, TD3), sim-to-real, domain randomisation, curriculum learning.

Responsabilidades

• Design, train and deploy RL-based controllers for robots in complex, real-world environments.
• Own the full pipeline from simulation to deployment with hardware constraints.
• Communicate research findings clearly to internal and external audiences.

Conocimientos

Reinforcement learning

Robot control

Python

Rust/C++

ROS/robotics middleware

Machine learning

Simulation training

Communication of research

Educación

MSc or PhD in Robotics/ML/Control

Herramientas

MuJoCo

Isaac Gym/Isaac Lab

PyBullet

Gazebo

Descripción del empleo

Helsing is a defence AI company delivering reinforcement learning-based robotics capabilities for real-world decision-support. You will design, train and deploy RL controllers for robots operating in dynamic environments with hardware constraints.

You will work across simulation to real-world deployment, leveraging modern RL methods, physics-based simulators and robust software engineering practices. Join a fast-moving, mission-driven team shaping responsible AI in defence.