AI Evaluation Engineer

code solutions, harnesses and testing capabilities from the ground up using Python. Define and execute evaluation strategies across model, agentic and application layers. Assess AI system quality, performance, reliability, safety and risk. Work closely with technical and non-technical stakeholders across multiple departments and organisations. Provide technical leadership and guidance on AI evaluation best practice. Skills Experience Strong commercial experience working with AI, Machine Learning and LLM-based systems in production environments. Deep understanding of AI evaluation methodologies, frameworks and quality engineering principles. Hands-on Python development experience with the ability to create and maintain your own codebase. Experience evaluating AI solutions across: Model layer Agentic layer Application layer Knowledge of AI evaluation tooling and frameworks such as: RAGAS DeepEval (DP-Eval) Other AI evaluation and testing frameworks Experience developing automated testing, evaluation harnesses and assurance processes for AI systems. Proven leadership experience, including working across teams, departments and organisational boundaries. Strong stakeholder engagement and communication skills. Desirable Experience Public sector or government programme experience. Understanding of responsible AI and AI assurance frameworks. Please NoteThis opportunity is specifically seeking candidates with strong AI evaluation and engineering expertise. Experience primarily focused on cloud, infrastructure, platform or DevOps engineering without significant AI evaluation experience are unlikely to be suitable