Position Overview

Senior QA Automation Engineer – AI Applications UK

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

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