Jobs / United Kingdom / Artificial Labs
QA Engineer
Artificial Labs · 🇬🇧 London
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
- Confirmed live todayWhen a source last listed this job as open.
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Sponsor Radar — Artificial Labs
This employer posted directly and does not match a government sponsor register.
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About the role
About Artificial Help shape the future of specialty insurance At Artificial, we’re building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision-making. We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth. You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built-in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry. We've just raised $45M (£33M) in Series B funding from lead investor CommerzVentures, new investor Move Capital, as well as all existing shareholders. This investment round gives us the room to grow with confidence, continue to innovate, and ensure that Artificial remains the first choice for brokers and carriers seeking a smarter way to trade digitally. Join us, and take the chance to be a part of something that will change the landscape of insurance for generations. About the Role We are looking for a QA Engineer to join our growing Product QA function and take ownership of testing across Artificial's product portfolio and customer specifications. This role covers both manual testing execution and hands-on automation work, moving flexibly between Platform and Transform (customer configuration) work as needed. Key Responsibilities • Manual and automated testing execution: Own and execute both manual and automated test cases across Artificial's product suite and customer specifications - moving flexibly between Platform and Transform as priorities shift, and applying automation where it's the right fit and manual judgement where it isn't - including functional, regression, integration, and exploratory testing, ensuring thorough coverage before releases reach production • Test planning and design: Write clear, detailed test plans and test cases based on product requirements, acceptance criteria, and specification documents; identify edge cases and risk areas; ensure traceability between requirements and test coverage; maintain this as a growing knowledge base of product behaviour and testing approaches • Customer specification testing: Test new and updated customer configurations and specifications to validate they meet requirements and behave correctly within the platform - reducing reliance on FDE for quality verification • Automation contribution: Write and maintain automated tests within our established framework and standards, applying your existing automation experience rather than starting from scratch; help transition high-value manual test cases into automated coverage • Bug identification and reporting: Identify, document, and triage defects with clear reproduction steps, severity assessments, and supporting evidence in Linear; follow up with engineering teams to verify fixes and close the loop • Regression testing: Execute regression test suites ahead of releases to catch unintended side effects; help maintain and expand the regression library as the product evolves • Quality within DDO+ modes: Support QA touch points across Discovery (smoke-testing prototypes and early builds), Delivery (thorough testing of bets and features during development cycles), and Optimisation (validating bug fixes and investigating production issues) • Collaboration: Work closely with Product Managers, Engineers, and Solutions/FDEs to understand requirements, clarify expected behaviour, and ensure