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)