2 of 2 Reinforcement Learning Jobs in South London

data infrastructure that supports both today’s human-driven fleets and tomorrow’s autonomous mobility networks. This is a hands-on applied machine learning role focused on building and improving decision systems that directly influence live fleet operations and contribute to long-term autonomous fleet orchestration capabilities. You will … real-world data and optimise for practical impact rather than just model accuracy Has exposure to advanced modelling approaches (e.g. neural networks, optimisation, or reinforcement learning) Nice to Have Experience with time-series or geospatial datasets, experimentation or optimisation problems Experience in logistics, marketplaces, mobility systems, ride-hailing ...

Role We are recruiting on behalf of a mobility technology business building intelligent fleet orchestration systems. This role suits an experienced Applied Machine Learning Engineer or Data Scientist comfortable working with messy real-world data, operational constraints, and production systems. Youll join a small, high-calibre team solving complex … years Geospatial data experience (H3, GeoPandas, PostGIS or similar) Optimisation/operations research exposure Logistics/mobility/marketplace domain experience Nice to Have Reinforcement learning Simulation modelling Experience deploying models into cloud environments Experimentation frameworks (A/B testing, model validation at scale) How to Apply ...