Machine Learning Engineer – Large Language Models (LLMs)

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.