1 of 1 Part-Time Reinforcement Learning Jobs in the City of London

AI/Machine Learning Engineer Agentic AI & LLM Systems Were partnered with a pioneering AI organisation pushing the boundaries of Agentic AI building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , youll design the frameworks, tools, and data loops that allow intelligent agents to think, plan, and improve … performing AI systems. What Youll Do: Build Agentic Systems Develop and optimise LLM-based agents that can reason, plan, and execute multi-step tasks autonomously. Enhance LLM Reasoning Apply reinforcement learning, tool use, and reflection techniques to strengthen decision-making and contextual understanding. Design Scalable Frameworks Create data pipelines, annotation tools, and evaluation flywheels that accelerate model iteration … Experiments End-to-End Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation. What Youll Bring: 4+ years experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . Hands-on More ❯