3 of 3 Remote Reinforcement Learning Jobs in London

to external research when appropriate. • 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 or 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 are a plus. We Offer • Remote-first setup with flexible relocation options by mutual agreement. More ❯

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 of 50. Following a period of significant transformation and with … a strong benefits package. The 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 in NLP and GenAI. You will … ARM, Terraform). A test-driven development mindset and commitment to engineering quality. Broad understanding of ML approaches, with the ability to explain methods clearly: Regression, clustering, decision trees, reinforcement learning Gradient boosting, CNNs, RNNs, LSTMs Attention models, encoder/decoder architectures, transformers, vector semantics Demonstrable experience developing GenAI applications in real-world settings. The confidence to communicate More ❯

translation, turning cutting-edge AI safety research into deployable tools. We're Looking For: Experienced AI/ML engineer with strong Python, PyTorch, or TensorFlow skills. Familiarity with LLMs, reinforcement learning, or generative AI. Passion for AI safety, alignment, or ethics. Problem-solver mindset; comfortable building from scratch in a fast-paced startup environment. Bonus: Experience with cloud More ❯