Salary: £75,000 - 75,000 per year Requirements: Strong programming capability in Python Experience building and deploying machine learning models and pipelines Experience with cloud platforms (AWS or Azure preferred) Practical experience with Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: - Agentic AI systems - RAG (Retrieval Augmented Generation) - Graph-based approaches - Computer vision, audio, or multimodal models Knowledge of data governance and security best practices Strong communication and problem-solving capability Ability to work effectively with both technical and non-technical stakeholders Responsibilities: Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject matter expert across AI and machine learning Support junior engineers and contribute to team capability development Contribute to internal innovation and continuous improvement Technologies: AI AWS Azure Cloud Computer Vision Docker Git Support LLM Linux Machine Learning Python Security Unix CI/CD DevOps More: We are a leading global technology and consulting organization, recognized as one of Fortunes Worlds Most Admired Companies. We deliver advanced data and AI solutions across highly secure government and defence environments. Our team operates in a collaborative space focused on cutting-edge MLOps, machine learning, and GenAI projects. The position offers a competitive salary of up to £75,000 GBP plus bonuses, with the flexibility of onsite or hybrid work arrangements in Manchester, Bristol, or London. last updated 18 week of 2026