QA Engineer

Harnham - Data & Analytics Recruitment
London, United Kingdom
Today
£45,000 – £65,000 pa

Salary

£45,000 – £65,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Today)
Share
Save job
Create job alert

QA Engineer

Location: London (Hybrid - 2 Days a Week)

Salary: £65,000

Join a fast-growing tech scale-up and supercharge quality engineering by owning cutting-edge automation that powers a next-generation financial product.

The Opportunity

This is an opportunity to join a fast-growing tech scale-up building a next-generation financial product within a cross-functional squad. You'll play a key role in elevating software quality by driving automation and reducing manual testing across a modern microservices architecture. The role offers the chance to collaborate closely with product managers, developers, and other QA engineers while influencing testing strategy and best practices.

You'll also have the opportunity to leverage AI tools to accelerate test development and enhance efficiency. This position provides real impact, professional growth, and the chance to shape a pioneering experience in personal finance.

Role and Responsibilities

  • The role centres on designing, building and maintaining automated tests to strengthen quality across a microservices-based financial product.
  • You'll collaborate with product managers, developers and fellow QA engineers to ensure requirements are clear, testable and consistent.
  • Responsibilities include expanding automated test suites, reducing manual testing, and performing smoke, regression, functional and API testing.
  • The tech stack includes Java/Kotlin, Selenium/Selenide or Playwright, TestNG/JUnit, RestAssured, Feign, Postman, SQL, Sentry, Elasticsearch, and performance tools like JMeter or Gatling.
  • You will also champion the adoption of AI tools to speed up script development and boost testing efficiency.

Drive quality across a cutting-edge microservices platform by leading automation with Java/Kotlin, modern UI/API testing tools and AI-powered efficiency, apply now.

Related Jobs

View all jobs

Python Developer - Insurance Analytics

Lane Clark & Peacock London, United Kingdom
£40,000 – £60,000 pa Hybrid

Senior Software QA Test Development Engineer

NVIDIA United Kingdom

Apps Engineer / AI Engineer

2mrw Group Bristol, United Kingdom
£55,000 – £65,000 pa On-site

Quality Engineer

Luminance Cambridge, United Kingdom
Hybrid

Software Engineer

Vermillion Analytics London, United Kingdom
£45,000 – £65,000 pa Hybrid

Engineering Manager

Quantexa London, United Kingdom
Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

Jobs

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.