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For Companies At a Glance
- Tasks: Join a team to shape AI-driven QA automation for a cutting-edge web platform.
- Company: Tech-led firm in the financial sector, focused on data-driven insights.
- Benefits: Up to £65,000 salary, hybrid work, and comprehensive benefits.
- Other info: Opportunity for technical ownership and career growth in a dynamic environment.
- Why this job: Be at the forefront of AI-native quality engineering and make a real impact.
- Qualifications: Experience in QA automation, modern tools, and a passion for AI integration.
The predicted salary is between 65000 - 65000 £ per year.
Location: London (2 days in office)
Salary: Up to £65,000 + benefits
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.
The Company
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.
The Role
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.
Your Skills & Experience
- 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.
What They Offer
- 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.
- Clear scope for technical ownership and progression as the platform scales.
How to Apply
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 City of London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI (QA) Automation Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your automation projects. This gives potential employers a taste of what you can do with AI tools and automation frameworks.
✨Tip Number 3
Prepare for interviews by brushing up on common QA automation questions and scenarios. Practice explaining how you've used AI tools in your past work – it’s a hot topic right now!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace AI (QA) Automation Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI (QA) Automation Engineer role. Highlight your experience with automation tools and any hands-on work with AI in your engineering workflow.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI-native quality engineering. Share specific examples of how you've reduced manual testing and improved QA processes in your previous roles.
Showcase Your Technical Skills: Don’t forget to mention your experience with modern automation tools like Selenium or Playwright. We want to see your understanding of web technologies and CI/CD pipelines, so make it clear!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Harnham
✨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 tests or improving workflows.
✨Showcase Your Automation Mindset
Prepare examples that highlight your automation-first approach. Discuss specific instances where you reduced manual testing and how you designed automated test coverage for web platforms or APIs.
✨Understand the Company’s Tech Stack
Research the technologies mentioned in the job description, such as Selenium, Playwright, and CI/CD pipelines. Being able to speak knowledgeably about these tools will show your genuine interest and fit for the role.
✨Engage with Agentic QA Concepts
Brush up on agentic testing workflows and be prepared to share your thoughts on how AI can enhance QA processes. This shows you're not just technically skilled but also forward-thinking about the future of QA.