Salary: £90,000 - 90,000 per year Requirements: Strong understanding of machine learning fundamentals Solid foundation in mathematics and statistics Hands-on experience with LLMs and transformer architectures Experience with model evaluation and inference optimisation Strong programming experience, typically in Python Ability to work on complex problems within constrained environments Strong analytical and problem-solving capability Clear communication skills and ability to work in client-facing environments UK national, eligible for UK Security Clearance (SC) Responsibilities: Develop and deploy machine learning models and LLM-based systems Apply knowledge of transformer architectures and LLM principles Optimise model performance, inference, and efficiency Evaluate model behaviour using established performance frameworks Contribute to solutions deployed in edge, constrained, or air-gapped environments Apply best practices in AI safety, explainability, and robustness Collaborate with engineering teams to integrate ML systems into production environments Design and develop machine learning and LLM-based solutions Work on advanced AI systems within secure and constrained environments Apply deep technical knowledge across ML, statistics, and optimisation Contribute to real-world AI applications in defence and high-assurance settings Collaborate with engineers and clients to solve complex challenges Take ownership of delivery within high-impact projects Technologies: AI LLM Machine Learning Python Security More: We are a specialist technology consultancy delivering high-impact engineering across defence and complex environments, supporting organisations operating in secure, mission-critical settings. This is a permanent Machine Learning Engineer role with hybrid working available across Newcastle, Manchester, Bristol, and London. You will work on cutting-edge machine learning and large language model systems in a high-performance, engineering-focused environment, with exposure to advanced AI development, secure and resource-constrained deployments, AI safety and explainability, and meaningful technical delivery on high-impact defence and national security programmes. last updated 24 week of 2026