4 of 4 Remote Reinforcement Learning Jobs in London

Machine Learning Engineer (LLM/AI Systems) London/Hybrid | 0–3 Years Experience | Competitive Salary Are you obsessed with AI and large language models? We’re an early-stage startup building real-world products powered by LLMs — from intelligent copilots to adaptive automation tools — and we’re looking … research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning

Explore methods in synthetic data generation, foundation-model adaptation, and model compression. Your Profile • Ideally holding a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics (or related quantitative field), or equivalent industry research experience. • Ideally 3+ years in machine learning/deep learning/LLMs … adjacent advanced AI research. • Proficient in Python; experience with PyTorch or JAX. • Understanding of reinforcement learning, multi-agent systems, probabilistic/Bayesian methods, or large-scale training. • Curiosity-driven mindset, strong problem solving, and the ability to work cross-functionally. • English is the working language; additional languages

Role - Machine Learning Engineer Location Hybrid, 1 day on site in London (with flex) Salary - £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer to their growing Intelligent Automation Team … position is hybrid, typically one day per week on site in London (with flexibility around which day). The Role Reporting to the Machine Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building and deploying ML solutions at scaleparticularly

successful, you will have the following experience: Strong Data Analyst or Data Science background, with experience within Python and AI/ML technologies Machine learning and Bayesian modelling experience is highly desirable Experience of working with the Home Office as a customer SC Clearance is essential Within this role … will be responsible for: Analyse structured and unstructured data to extract meaningful insights, trends, and patterns Build, validate, and deploy machine learning models (supervised, unsupervised, and reinforcement learning) in Python to solve complex decision-making problems Develop statistical models and perform hypothesis testing, predictive analytics, and forecasting