Machine Learning Engineer – Large Language Models (LLMs)
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.