5 of 5 Remote/Hybrid pytest Jobs in London

consuming data products What you'll bring: Strong Python skills, with a track record of shipping quality production code Experience with unit testing (e.g. pytest) and a mindset of building for reliability Confidence working with cloud-native systems and deploying to cloud platforms for real user populations Practical experience with ...

SDET, QA Automation Engineer or similar Proven programming skills in Python and/or TypeScript Experience with modern automation frameworks such as Playwright, Cypress, PyTest, Jest or Selenium Hands‐on experience using Generative AI tools to support software development or testing A good understanding of prompt engineering and AI‐assisted ...

compliance/Financial Services/regulated environment preferred Highly motivated to learn about Fundment’s products Technical Expertise: Python: FastAPI, Pydantic, SQLAlchemy, PyTest, Pandas, Numpy Cloud: Experience supporting production systems Security & Compliance: Familiar with secure coding and regulated environments Values Collaborative – Deliver as a team, communicate clearly, and prioritise collective ...

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and ...

Test & Evaluation Engineer (Python/Pytest) Contract Rate: Up to £600 - £650/day (Inside IR35) Location: Hybrid (1 day per week in London, Cardiff, or Glasgow) Clearance: Active SC Clearance required Role Overview We are seeking an experienced AI Test & Evaluation Engineer to design, develop, and execute evaluation frameworks … designing and executing evaluation frameworks for AI, specifically M365 Copilot agents. Technical Skills: Strong Python programming skills combined with hands-on, practical experience using PyTest to build automated testing framework components. Analytical Skills: In-depth understanding of AI metrics and failure modes (hallucinations, bias, drift, security vulnerabilities, and model explainability ...