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- Tasks: Join a team redefining QA with AI tools and automation in fast-paced development.
- Company: Dynamic tech company in the financial sector, focused on innovation and collaboration.
- Benefits: Competitive salary, comprehensive benefits, hybrid work model, and career growth opportunities.
- Other info: Exciting opportunity to influence QA strategy in a growing platform.
- Why this job: Shape the future of QA with cutting-edge AI technology and impactful projects.
- Qualifications: Experience in QA automation, web technologies, and modern automation tools.
The predicted salary is between 60000 - 80000 £ per year.
Location: London (2 days in office)
This role stands out for its genuine focus on AI-native quality engineering. You will join a team that is actively redesigning how QA works in a world of fast development cycles, complex data, and increasing automation, with AI tools like Claude, GitHub Copilot and similar assistants embedded into daily workflows rather than treated as add-ons.
They are a technology-led business operating in a highly data-driven financial environment, building a modern web platform that aggregates and analyses complex information to deliver clear, actionable insights for users. Working in small, cross-functional squads, they value thoughtful engineering, clean architecture and continuous improvement. The organisation is scaling its desktop web platform to match and extend existing mobile capabilities, creating an exciting phase of platform growth.
You will play a central role in shaping an automation-first, AI-assisted QA function within a product squad.
- Designing and building automated test coverage for a desktop web platform and its supporting backend services.
- Creating and evolving an automation framework from the ground up, with scalability and maintainability in mind.
- Using AI tools such as Claude, GitHub Copilot and IDE-native assistants to accelerate test creation, refactoring and coverage.
- Exploring agentic QA concepts, including autonomous test generation and execution with human review and policy setting.
- Testing APIs, integrations and data pipelines in a complex, data-heavy environment.
- Running regression and change-impact testing across core systems and third-party integrations.
- Improving data quality assurance and confidence as new features are released.
Strong commercial experience in QA automation across web, API and backend systems.
A clear automation-first mindset, with a track record of reducing manual testing.
Hands-on experience with modern automation tools such as Selenium or Playwright and testing frameworks like JUnit.
Good understanding of web technologies including HTML, CSS, JavaScript and modern frontend frameworks.
Experience working with CI/CD pipelines, Jira and agile delivery teams.
Active use of AI tools in your engineering workflow, beyond basic code completion, for example test generation, synthetic data creation, debugging or log analysis.
Interest in, or exposure to, agentic or autonomous testing workflows where AI handles execution and humans focus on oversight and quality policy.
Competitive salary and comprehensive benefits package.
Hybrid working with regular collaboration in a London office.
The opportunity to shape QA strategy and architecture in a growing platform.
Exposure to modern AI-assisted and agentic engineering practices.
If you are excited by AI-native QA and want to help redefine how quality is delivered in modern engineering teams, apply now to learn more.
AI (QA) Automation Engineer in London employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI (QA) Automation Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your automation projects and any AI tools you've used. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common QA automation questions and scenarios. Practice explaining your thought process when using AI tools in your workflow, as this is a hot topic in the industry right now.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your experience with automation and AI, and let your passion shine through!
We think you need these skills to ace AI (QA) Automation Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI-native quality engineering shine through. We want to see how you’ve used AI tools in your past projects and how they’ve helped you improve QA processes.
Highlight Your Automation Experience: Make sure to emphasise your hands-on experience with automation tools like Selenium or Playwright. We’re looking for someone who has a clear automation-first mindset, so share specific examples of how you've reduced manual testing in your previous roles.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. Mention your experience with CI/CD pipelines, agile teams, and any relevant projects that align with our focus on fast development cycles and complex data.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape QA strategy in our growing platform!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your AI Tools
Familiarise yourself with AI tools like Claude and GitHub Copilot before the interview. Be ready to discuss how you've used these tools in your previous roles, especially in automating test creation or debugging. Showing that you can leverage AI effectively will impress the interviewers.
✨Showcase Your Automation Mindset
Prepare examples that highlight your automation-first approach. Discuss specific projects where you reduced manual testing through automation, and explain the frameworks you built or improved. This will demonstrate your alignment with their focus on an automation-first QA function.
✨Understand the Tech Stack
Brush up on your knowledge of web technologies like HTML, CSS, and JavaScript, as well as modern automation tools such as Selenium or Playwright. Being able to speak confidently about these technologies will show that you're not just a QA engineer but a well-rounded tech enthusiast.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in a complex, data-heavy environment. Think about how you would handle regression testing or API testing challenges, and be prepared to discuss your thought process and decision-making.