AI / ML Engineer - Large Language Models (LLMs)

Machine Learning Engineer – Large Language Models (LLMs)Make sure to apply with all the requested information, as laid out in the job overview below.

We're partnered with a leading tech organisation at the forefront of Generative AI innovation, hiring a Machine Learning Engineer to help build the infrastructure, workflows, and systems that bring cutting-edge LLM research to life.

What You'll Do:

• Design and build tools, methods, and infrastructure to advance large language model development
• Collaborate with researchers to identify and solve weaknesses in agent-generated code
• Develop scalable frameworks for annotation, training, and model experimentation
• Apply agentic design principles to improve LLM reasoning, autonomy, and reliability
• Work hands-on with Python, LLMs, and LLaMA models, running experiments and optimising performance
• Be responsible for procuring and managing your own coding environment (e.g., Jupyter Notebook, Google Colab)

Key Requirements:

• 4+ years' experience in Machine Learning / AI (LLMs, data mining, recommendation systems, or pattern recognition)
• Proven hands-on experience with LLM agents and generative AI systems
• Strong Python skills, with experience in PyTorch or TensorFlow
• Familiarity with agentic design principles and LLaMA-based architectures
• Advanced debugging & problem-solving ability
• Experience running large-scale ML experiments and managing compute environments
• Master's (or PhD) in Computer Science, AI, ML, or related field

Bonus:

• Research track record (e.g., publications, Kaggle Master)
• Backend (APIs) + frontend (React/JavaScript) experience for annotation tools

Contract Details:

• £400 - £525 Per Day (Outside IR35)
• 6–12 Months (Likely to Extend)
• Remote – UK Based

Apply now for immediate consideration.