Senior Test Engineer (SC Cleared)

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<br />Ensure quality across AI models, data pipelines, APIs, and cloud-based services<br />Embed test-driven (TDD) and behaviour-driven (BDD) practices within engineering teams<br />Drive improvements in automation frameworks and testing tools<br />Provide expert oversight on AI model validation, including Generative AI and RAG solutions<br />Identify risks early and implement mitigation strategies<br />Mentor and coach engineers to build strong testing capability across teams Key Responsibilities Define and deliver testing strategies aligned to organisational standards<br />Lead AI testing, validation, and evaluation frameworks<br />Integrate testing within CI/CD and DevOps pipelines<br />Champion modern testing approaches, including AI-led and predictive testing techniques<br />Collaborate with cross-functional teams including engineering, data science, product, and leadership<br />Oversee defect management, quality metrics, and release assurance<br />Ensure compliance with accessibility, security, and performance standards Key Skills &amp; Experience Essential Strong experience delivering quality assurance for AI / ML solutions across the full lifecycle<br />Hands-on expertise with Microsoft-based environments (e.g.

Azure testing tools, AI platforms)<br />Proficiency in one or more: Python, Java, JavaScript, SQL, or R<br />Proven experience in: AI / Generative AI testing<br />RAG (Retrieval-Augmented Generation) solution validation (e.g.

RAGAS framework)<br />CI/CD, DevOps, and cloud-based test integration<br />Ability to define and implement AI testing strategies and model validation frameworks<br />Strong understanding of:

Functional and non-functional testing<br />Accessibility, security, and performance testing<br />Experience working in regulated or enterprise environments<br />Active SC Clearance (mandatory)