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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