SC Cleared Test Engineer (AI) Rate - £650 (A day) Duration - 6 Months (Initially) Location - London (Hybrid) Ir35 - Inside (Must use an umbrella company) We are looking for an experienced Senior Test Engineer (AI) to play a key role in delivering high-quality, reliable artificial intelligence and data-driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust validation, strong governance, and continuous quality improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies across AI and digital programmes Ensure quality across AI models, data pipelines, APIs, and cloud-based services Embed test-driven (TDD) and behaviour-driven (BDD) practices within engineering teams Drive improvements in automation frameworks and testing tools Provide expert oversight on AI model validation, including Generative AI and RAG solutions Identify risks early and implement mitigation strategies Mentor and coach engineers to build strong testing capability across teams Key Responsibilities Define and deliver testing strategies aligned to organisational standards Lead AI testing, validation, and evaluation frameworks Integrate testing within CI/CD and DevOps pipelines Champion modern testing approaches, including AI-led and predictive testing techniques Collaborate with cross-functional teams including engineering, data science, product, and leadership Oversee defect management, quality metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI / ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java, JavaScript, SQL, or R Proven experience in: AI / Generative AI testing RAG (Retrieval-Augmented Generation) solution validation (e.g. RAGAS framework) CI/CD, DevOps, and cloud-based test integration Ability to define and implement AI testing strategies and model validation frameworks Strong understanding of: Functional and non-functional testing Accessibility, security, and performance testing Experience working in regulated or enterprise environments Active SC Clearance (mandatory)
