Our client is a rapidly growing AI consulting firm that has recently expanded into the UK and is working with a FTSE 250 company on one of the first enterprise Generative AI projects of its kind anywhere in the world. This is a unique opportunity to be at the forefront of AI assurance, helping to validate and improve cutting-edge AI models in a real-world enterprise environment.
The company offers an exceptional long-term career path, providing opportunities to specialise in AI model validation, responsible AI frameworks, and advanced automation testing for AI-driven applications.
Role Overview
We are looking for an AI Test Engineer with automation testing experience, API testing, and cloud infrastructure validation knowledge. While hands-on experience with AI testing (LLM validation, AI Guardrails) is a plus, strong testers who are eager to upskill in AI assurance will also be considered.
This is a client-facing role that requires:
- Exceptional communication skills to work with both technical teams and business stakeholders
- A high-energy approach to problem-solving in a fast-paced, evolving AI environment
- Strong stakeholder management skills to ensure AI models are rigorously tested and meet ethical and regulatory standards
You will be expected to work two days per week on-site in London’s financial district, with remote work available for the remaining three days.
Key Responsibilities
- Develop and execute test automation frameworks to validate AI-driven applications
- Conduct API testing using tools such as Postman, REST Assured, and Selenium
- Perform cloud infrastructure testing on AWS and Azure to ensure AI models run efficiently in production environments
- Assist in CI/CD testing to integrate AI model validation into the deployment pipeline
- Support bias, fairness, and robustness testing for AI models, ensuring compliance with responsible AI frameworks
- Work closely with data scientists, MLOps engineers, and software developers to improve AI testing processes
- Identify AI model failure points and provide recommendations for model retraining and improvement
Essential Skills and Experience
- 4 plus years of experience in test automation, software quality assurance, or cloud infrastructure testing
- Knowledge of Python for test automation
- Experience with API testing tools such as Postman, REST Assured, or Selenium
- Familiarity with CI/CD pipelines and DevOps testing (Jenkins, GitHub Actions, AWS CodePipeline)
- Experience testing cloud infrastructure on AWS, Azure, or GCP
- A strong interest in AI assurance, AI model validation, and responsible AI frameworks
Desirable Skills (not essential)
- Hands-on experience with AI model validation, LLM testing, or AI Guardrails
- Knowledge of bias/fairness testing methodologies in AI models
- Exposure to MLOps and AI governance frameworks
- Multi-cloud experience (AWS, Azure, GCP)
Why Join?
- Work on one of the most groundbreaking Generative AI projects in the world
- Be part of an international AI consulting leader shaping enterprise AI testing standards
- Gain experience in AI assurance, model validation, and responsible AI frameworks
- Work directly with a FTSE 250 client in London’s financial hub
- Clear long-term career progression, with opportunities to specialise in AI governance and automation testing
- Hybrid flexibility – work remotely three days a week, with two days on-site in London
- Visa sponsorship available for the right candidates
