Remote UK: Applied AI Scientist, Simulation & RL

Locus Robotics; Greater London; Remote; GBP 70,000 - 120,000; Full time

Job summary

Locus Robotics in the United Kingdom is seeking an Applied AI Scientist to own the simulator behind SDL, a reinforcement-learning driven orchestration framework for people and robots. You will work at the interface of research and production within the Applied Data Science team, reporting to Oscar Mendez.

The role centers on advancing a discrete-event simulator (SimPy), reducing the sim-to-real gap, and maturing RL-based policies for warehouse operations on a global scale.

Qualifications

• PhD or MSc with significant AI/ML or simulation experience.
• Hands-on with simulators, preferably discrete-event simulation (SimPy).
• Experience with RL and training simulation-based agents.
• Strong Python and software engineering fundamentals.
• Publications in AI/ML/robotics venues are a plus.
• Excellent English communication skills.

Responsibilities

• Own and develop the SimPy-based discrete-event simulator, including its logic and fragile areas.
• Improve test coverage, code quality, reproducibility and tooling.
• Build experiment infrastructure around the simulator: orchestration, study management, reporting and automated runs.
• Generate and maintain site data needed to simulate warehouses.
• Support scenario testing and sensitivity analyses for order-engineering teams.
• Turn the simulator into a RL environment and design, train, evaluate RL policies.
• Prototype and productionise learning components with ML and MLOps teams.

Skills

Python

Reinforcement learning

Simulation

Experiment design

Communication

Education

PhD in CS/AI/ML/Robotics or related field

MSc + 5+ years industry experience

Tools

SimPy

Gymnasium

Python

Job description

Locus Robotics in the United Kingdom is seeking an Applied AI Scientist to own the simulator behind SDL, a reinforcement-learning driven orchestration framework for people and robots. You will work at the interface of research and production within the Applied Data Science team, reporting to Oscar Mendez.

The role centers on advancing a discrete-event simulator (SimPy), reducing the sim-to-real gap, and maturing RL-based policies for warehouse operations on a global scale.