7 of 7 Reinforcement Learning Jobs in Central London

Positions: Machine Learning Engineer & Machine Learning Researcher My client is a scaling robotics start-up that is creating autonomous industrial robots capable of handling intricate, dexterous tasks. They're looking for Senior ML Engineers who want the freedom to bridge the gap between state-of-the-art research in embodied AI and real-world systems. You'll be … industrial know-how, who will help nurture and develop you to the next level! Salary: Up to £150k Location: London Onsite: Most days What You’ll Be Doing (Machine Learning Engineer): Implement and scale state-of-the-art AI algorithms to be deployed on real-world robotic systems Build robust data pipelines and work with multi-modal sensor data … and refine algorithms for real-world tasks Ensure the scalability and maintainability of production systems, with a strong focus on (low-level) MLOps What You’ll Be Doing (Machine Learning Researcher): Conduct groundbreaking research to develop new algorithms and models for robotics Work on advanced learning approaches such as reinforcement learning and imitation learning Contribute More ❯

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge … methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track … of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential) Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community Key selling points Work More ❯

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge … methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track … of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential) Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community Key selling points Work More ❯

combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for candidates that … can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure … Contribute to solution design and technical decision-making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data More ❯

combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for candidates that … can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure … Contribute to solution design and technical decision-making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data More ❯

We are working with a global lottery/gambling provider on a 'Group Head of Data Science' role - you’ll be responsible for building and scaling their global Machine Learning and AI function that drives commercial performance, enhances player engagement, and enables smarter, real-time decisioning across lottery, iGaming, and adjacent ventures. You’ll set the strategic vision, while … automated testing, monitoring, feature stores. Partner with Marketing, Digital, Technology, Innovation and local business units to embed intelligence into customer and operational workflows. Champion advanced analytics techniques such as reinforcement learning, causal inference, and generative AI. Build, mentor, and retain a diverse team of data science talent, fostering a culture of experimentation and excellence. Track and report on More ❯

and build strong partnerships with major tech vendors. 🛠️ What We Need Proven experience designing and deploying agentic AI systems in production Strong understanding of AI/ML techniques including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain, AutoGen, CrewAI, or similar Experience supporting More ❯