At a Glance
- Tasks: Join a team to revolutionise QA with AI tools and automation.
- Company: Tech-driven firm in the financial sector, focused on data insights.
- Benefits: Up to £65,000 salary, hybrid work, and comprehensive benefits.
- Other info: Opportunity for technical ownership and career progression.
- Why this job: Shape the future of QA in a fast-paced, innovative environment.
- Qualifications: Experience in QA automation and modern testing tools required.
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. Key responsibilities include:
- 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 Slough employer: Harnham
As a technology-led business in the heart of London, we offer an exceptional work environment that champions innovation and collaboration. Our commitment to AI-native quality engineering not only empowers our employees to shape the future of QA but also provides ample opportunities for professional growth within a supportive, cross-functional team. With a competitive salary, comprehensive benefits, and a hybrid working model, we ensure that our team members thrive both personally and professionally while contributing to a cutting-edge platform.
StudySmarter Expert Advice🤫
We think this is how you could land AI (QA) Automation Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your automation projects. We want to see how you’ve used tools like Selenium or Playwright in real-world scenarios.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of AI tools and automation frameworks. We suggest practising common QA scenarios and being ready to discuss how you’d tackle challenges in a fast-paced environment.
✨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 seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace AI (QA) Automation Engineer in Slough
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it can transform QA. Share any experiences you've had with AI tools like Claude or GitHub Copilot, and how they’ve influenced your work.
Highlight Your Automation Experience:Make sure to emphasise your hands-on experience with automation tools like Selenium or Playwright. We want to know how you've reduced manual testing and improved efficiency in your previous roles.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. Show us why you’re the perfect fit for our team.
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 don’t miss out on any important updates from our team!
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 testing processes. This shows you’re not just aware of the technology but can leverage it effectively.
✨Showcase Your Automation Mindset
Prepare examples that highlight your automation-first approach. Discuss specific instances where you reduced manual testing through automation, and be ready to explain the frameworks and tools you used, such as Selenium or Playwright. This will demonstrate your alignment with the company's focus on efficient QA.
✨Understand the Company’s Tech Stack
Do your homework on the company’s tech stack and the web technologies they use, like HTML, CSS, and JavaScript. Being able to speak knowledgeably about these technologies will show that you’re genuinely interested in the role and understand the environment you'll be working in.
✨Engage in Thoughtful Questions
Prepare insightful questions about their QA strategy and how they integrate AI into their workflows. This not only shows your interest in the role but also your proactive mindset in wanting to contribute to their innovative approach to quality engineering.
