£650 Per day
Inside
Hybrid
City of London
Summary: The role of Senior Test Engineer (AI) requires an experienced professional with SC clearance to lead testing strategies for AI and data-driven solutions in a complex enterprise environment. The position emphasizes hands-on involvement in automation, validation, and delivery pipelines while ensuring quality and compliance across digital platforms. The successful candidate will mentor engineers and drive improvements in testing frameworks and tools. This is a hybrid role based in London with a focus on delivering high-quality AI solutions.
Key Responsibilities:
- 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
- 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:
- Strong experience delivering quality assurance for AI/ML solutions across the full life cycle
- Hands-on expertise with Microsoft-based environments (eg 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 (eg 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)
Salary (Rate): £650 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
Detailed Description From Employer:
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 RoleAs 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 life cycle
- Hands-on expertise with Microsoft-based environments (eg 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 (eg 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)