AI 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
• 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)

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