4 of 4 Permanent Reinforcement Learning Jobs in the UK excluding London

proof-of-concept into scalable, production-ready systems. Key responsibilities include: Designing hypothesis-driven research frameworks and simulation environments Developing advanced statistical and machine learning models to solve multi-objective optimisation problems Contributing to model orchestration, synthetic data generation and probabilistic matching frameworks Evaluating model trade-offs, benchmarking approaches … validating system-level outcomes Exploring frontier methods such as reinforcement learning, Bayesian hierarchical modelling and generative AI Collaborating closely with engineering to ensure models scale effectively in production environments Translating research findings into clear, commercially relevant insights About You We’re looking for someone with deep research capability ...

mathematics, physics, engineering, or a related field (e.g., BSc/MSc/PhD). Solid understanding of statistics, linear algebra, probability, optimisation, and machine learning techniques. Experience with algorithm development, numerical methods, or physical simulation. Proficiency in at least one programming language commonly used for scientific computing and prototyping … software development. Ability to clearly explain complex technical concepts, both verbally and in writing, to technical and non-technical audiences. Desirable Experience Developing machine learning models, especially in the context of reinforcement learning or computer vision. Robotics or autonomous systems (e.g., path-planning problems ...

level scientific language (e.g., Python, Julia). We are particularly looking at experience with scientific computing, numerical methods, or computational modelling. Desirables are Machine learning, optimization, control, probabilistic modelling, or related fields. Familiarity digital twins, agentic systems, reinforcement learning or advanced optimisation. What ...

models in live business decision environments. Strong fluency in Python, modern ML tools, and decision optimisation frameworks. Deep understanding of statistical modelling and machine learning with experience deploying models into production-scale systems. Beneficial: pricing and revenue optimisation, forecasting and supply chain, risk and fraud modelling, reinforcement learning ...