AI / Machine Learning Engineer – Agentic AI & LLM Systems

AI / Machine Learning Engineer – Agentic AI & LLM Systems We’re 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, you’ll design the frameworks, tools, and data loops that allow intelligent agents to think, plan, and improve themselves — transforming raw model power into adaptive, high-performing AI systems. What You’ll 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 and feedback loops. • Collaborate with Research Teams – Translate experimental findings into production-grade systems that extend the autonomy and reliability of agents. • Run Experiments End-to-End – Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation. What You’ll 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 experience developing or fine-tuning LLaMA, GPT, or similar foundation models. • Understanding of agentic architectures, chain-of-thought reasoning, and memory/reflection mechanisms. • Proven ability to debug, optimise, and scale ML experiments and compute pipelines. • MSc or PhD in AI, Computer Science, or related field. Bonus Skills: • Research track record (papers, open-source, Kaggle). • Experience building back-end APIs or front-end interfaces for model annotation or experimentation. Contract Details: • Competitive Rates (Outside IR35) • 6–12 months (with likely extension) • Remote – UK based Please apply for immediate consideration.