AI / Machine Learning Engineer – Agentic AI & LLM Systems
Posted 4 days ago by Experis UK
Negotiable
Outside
Remote
London Area, United Kingdom
Summary: The AI / Machine Learning Engineer role focuses on developing advanced Agentic AI systems that leverage LLMs for autonomous reasoning and action. The position involves designing frameworks and tools to enhance intelligent agents' capabilities and collaborating with research teams to implement production-grade systems. Candidates should have significant experience in machine learning, particularly with LLMs, and possess strong programming skills. The role is remote and offers competitive rates outside IR35.
Key Responsibilities:
- 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.
Key Skills:
- 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.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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.