3 of 3 Permanent Reinforcement Learning Jobs in Central London

Research Scientist/Engineer - General Decision & Control Agent

Hiring Organisation
Adecco
Location
City of London, London, United Kingdom
Employment Type
Permanent
Salary
£100000 - £180000/annum + perm benefits +bonus
Research Scientist/Engineer - Agent Systems & Reinforcement Learning Location: London Salary: £(phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with a leading AI research organisation focused on developing sustainable, generalisable and evolvable Agent … periods of execution. This is an exceptional opportunity to join a world-class research environment working at the intersection of Agents, Large Language Models, Reinforcement Learning and Autonomous Systems , contributing to cutting-edge research that could play a significant role in advancing the path towards Artificial General Intelligence ...

Data Scientist Manager

Location
Westminster, West End, United Kingdom
others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code of Practice … Data Scientist Manager at Kainos, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging ...

Software Engineer III, GenAI Data Operations Research, XR

Location
City of Westminster, England, United Kingdom
degree. 1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment … inference tasks. You will develop production-ready pipelines for at-scale data processing using distributed computing frameworks, run and monitor large-scale deep learning experiments, and leverage JAX to establish end-to-end pipelines for fine-tuning foundational models. Your work will involve delivering synthetic datasets for key Android ...