AI / Machine Learning Engineer – Agentic AI & LLM Systems

NLP PEOPLE; Colchester; Remote; GBP 125,000 - 150,000; Full time

Job summary

A leading technology firm is seeking an experienced professional to develop and optimise LLM-based agents. This role requires over 4 years of experience in machine learning or AI, and advanced proficiency in Python and ML frameworks. Ideal candidates will have hands-on experience with models like LLaMA or GPT. The position offers competitive rates as well as the flexibility to work remotely in the UK.

Benefits

Competitive rates

Remote work option

Qualifications

• 4+ years’ experience in Machine Learning or AI, with exposure to LLM agent systems.
• Advanced proficiency in Python and ML frameworks.
• Hands-on experience developing or fine-tuning LLaMA, GPT, or similar models.

Responsibilities

• Develop and optimise LLM-based agents.
• Enhance LLM reasoning through advanced techniques.
• Create scalable frameworks for data processing.

Skills

Machine Learning

AI

Python

PyTorch

TensorFlow

Education

MSc or PhD in AI, Computer Science, or related field

Job description

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.

Company: Experis UK