Remote UK: Applied AI Scientist - Simulation & RL

locusrobotics; Greater London; A distancia; GBP 70.000 - 120.000; Jornada completa

Descripción de la vacante

Locus Robotics in the United Kingdom is seeking an Applied AI Scientist, Simulation & Reinforcement Learning, to own the discrete-event simulator built on SimPy and drive RL integration with real-world warehouse data.

You will evolve the simulator into a full RL environment, run experiments with Optuna, and collaborate with Applied Data Science to publish and share results. This role mandates remote work from the UK and strong communication across teams.

Formación

• PhD in CS/AI/Robotics or MSc + 5+ years of relevant experience.
• Hands-on experience building or validating simulators (discrete-event preferred).
• Experience with reinforcement learning and RL environments.
• Strong Python and software engineering fundamentals.
• Experience in robotics, logistics or operations-heavy domains.
• Publications in major AI/ML/robotics venues.
• Excellent English communication skills.

Responsabilidades

• Own and develop our SimPy-based discrete-event simulator, including its logic and design choices.
• Improve test coverage, code quality, reproducibility and tooling.
• Build experiment infrastructure around the simulator: orchestration and study management.
• Generate and maintain site data needed to simulate warehouses.
• Support scenario testing and sensitivity analysis for our order-engine and orchestration teams.
• Define, measure and reduce the sim-to-real gap against real site data.
• Turn the simulator into a RL environment with Gym-style interfaces and training runs.

Conocimientos

PhD in CS

Python

Reinforcement Learning

Simulation

English communication

Educación

PhD in CS/AI/Robotics

MSc + 5+ years exp

Herramientas

SimPy

Gymnasium

Descripción del empleo

Locus Robotics in the United Kingdom is seeking an Applied AI Scientist, Simulation & Reinforcement Learning, to own the discrete-event simulator built on SimPy and drive RL integration with real-world warehouse data.

You will evolve the simulator into a full RL environment, run experiments with Optuna, and collaborate with Applied Data Science to publish and share results. This role mandates remote work from the UK and strong communication across teams.