Artificial Labs
QA Engineer
Salary not disclosed2–5 yearsOnsite
- Engineering
- London
- Full time
- 2d ago
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 involves both manual testing execution and hands-on automation work, moving flexibly between platform and customer configuration tasks as needed.
Responsibilities
- Own and execute both manual and automated test cases across Artificial's product suite and customer specifications.
- Write clear, detailed test plans and test cases based on product requirements and acceptance criteria.
- Test new and updated customer configurations to validate they meet requirements and behave correctly.
- Write and maintain automated tests within our established framework and standards.
- Identify, document, and triage defects with clear reproduction steps and severity assessments.
- Execute regression test suites ahead of releases to catch unintended side effects.
- Support QA touch points across Discovery, Delivery, and Optimisation modes.
- Work closely with Product Managers, Engineers, and Solutions teams to ensure alignment on quality expectations.
Required skills
- Manual testing
- Test automation
- Playwright
- Cypress
- Selenium
- Test planning
- Defect tracking
- Regression testing
- Exploratory testing
Qualifications
- 2-5 years of experience in a QA or software testing role
Benefits
- Private medical insurance
- Income protection insurance
- Life insurance
- On-site gym
- Enhanced maternity and paternity pay
- Pension salary exchange
- Financial wellbeing platform access
- Company stock options
- Holiday allowance of 28 days plus national holidays
- Learning allowance
About the Company
Artificial is building the next generation of technology for the specialty (re)insurance market to transform how brokers and carriers operate. We use modern technology to solve real challenges for leading brokers and insurers by automating repetitive tasks and structuring complex data.