AI / Machine Learning Engineer Agentic AI & LLM Systems

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 themselves transforming raw model power into adaptive, high-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 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 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 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)
• 612 months (with likely extension)
• Remote UK based

Please apply for immediate consideration.