Senior QA Automation Engineer (AI Applications UK) in London

We are seeking an experienced QA Automation Engineer to ensure the quality, reliability, and performance of AI-powered applications. The ideal candidate has expertise in automated testing and software quality engineering, with experience building scalable testing frameworks and leveraging AI-powered testing tools to improve test development, maintenance, and coverage. They combine deep QA automation expertise with practical experience using AI to enhance testing workflows. Experience testing AI/ML applications or validating machine learning models is an asset.

Responsibilities

• Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features.
• Automate QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins), leveraging AI-powered testing tools to improve test development, maintenance, and coverage.
• Create and maintain test harnesses for AI services, applications, and APIs.
• Perform API testing for AI services and backend systems.
• Define quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML features.
• Test AI/ML applications and machine learning models from a product and user perspective.
• Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior.
• Define structured rubrics that translate qualitative findings into measurable evaluation gates.
• Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing.
• Mentor teams on QA automation best practices and consistent quality standards for AI-powered applications.
• Contribute to multi-team projects and codebases, ensuring code quality and consistency.
• Participate in code reviews and provide constructive feedback to peers.
• Document and present findings and ideas across the company.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 5+ years of professional experience in software quality assurance, test automation, or software engineering.
• Strong programming skills in Python, with experience in test automation.
• Hands-on experience using AI-powered testing tools or AI coding assistants to improve test automation, productivity, and quality.
• Experience with CI/CD tools and processes.
• Familiarity with popular CAD environments and tooling.
• Proficient in automation and UAT test suites/frameworks.
• Experience designing QA frameworks or platforms used by multiple teams.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Understanding of software architecture and design patterns.
• Ability to work in an Agile development environment.

Preferred Qualifications

• Experience testing AI/ML applications or validating machine learning models.
• Experience with data validation tooling (e.g., Great Expectations) or labeling workflows.
• Familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
• Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow).
• Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation).
• Knowledge of ML evaluation methods, metrics, and benchmarking.
• Passion for learning new technologies and improving existing systems.
• Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform).
• Experience testing AI/ML services in production environments.
• Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases).

The Ideal Candidate

• You demonstrate initiative to provide solutions and to learn and develop new technologies.
• Comfortable building QA systems from scratch and writing maintainable automation.
• You enjoy learning and collaborating across global locations.
• You are comfortable working in newly forming ambiguous areas.
• You are comfortable building scalable and maintainable QA automation frameworks that will be relied on by others.
• You effectively leverage AI-powered tools to improve testing workflows and engineering productivity.
• You can communicate well with others.