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.