Remote RL Engineer for Robotics Autonomy (Contract)

Vareon; Remote; GBP 60,000 - 80,000; Full time

Job summary

A systems architecture and engineering company is seeking a Reinforcement Learning Specialist for remote work in the UK. In this contract-to-hire role, you will focus on creating and iterating reinforcement learning prototypes in robotics and machine autonomy. You will work collaboratively with a multidisciplinary team to ensure systems are robust, safe, and adaptable to real-world challenges. Strong experience with modern ML tools and a background in robotics is essential. The successful candidate will help evolve innovative concepts into enterprise-grade products.

Qualifications

• Strong practical experience implementing and training reinforcement learning systems using modern ML tooling.
• Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously.
• Background in robotics engineering and/or embedded systems with real robot integration.

Responsibilities

• Develop and iterate on reinforcement learning approaches for robotics and machine autonomy.
• Build prototype-to-demo pipelines for reliable system performance.
• Collaborate with engineers to integrate learned components into full autonomy stacks.

Skills

Reinforcement learning implementation

Problem-solving skills

Software engineering fundamentals

Communication skills

Education

Master’s or Ph.D. in Robotics, Computer Science, Engineering, AI, or related field

Tools

PyTorch

JAX

ROS2

Job description

A systems architecture and engineering company is seeking a Reinforcement Learning Specialist for remote work in the UK. In this contract-to-hire role, you will focus on creating and iterating reinforcement learning prototypes in robotics and machine autonomy. You will work collaboratively with a multidisciplinary team to ensure systems are robust, safe, and adaptable to real-world challenges. Strong experience with modern ML tools and a background in robotics is essential. The successful candidate will help evolve innovative concepts into enterprise-grade products.