3 of 3 Remote Test Automation Jobs in Banbury

transformative digital experience for students entering the world of work. They're building a scalable platform to support career readiness and connect young talent with meaningful opportunities. As an Automation QA Engineer, you’ll play a vital role in ensuring the quality and reliability of this platform as part of a dynamic, cross-functional tech team working at the … Key Responsibilities Collaborate within an Agile squad to support development and delivery of new product features Conduct thorough exploratory testing alongside automated test execution Build, maintain, and enhance automated testing pipelines using industry-leading tools Define and validate acceptance criteria for user stories Help identify technical debt and contribute to backlog refinement and prioritisation Support non-functional testing efforts … performance and accessibility testing Contribute to documentation and peer review processes Share QA expertise with the wider engineering community to promote best practices Tech Stack You'll Work With Test Automation : Cypress, Selenium, Cucumber/Gherkin, Postman DevOps & CI/CD : GitLab, Jenkins (or similar), Git, BrowserStack Performance & Accessibility Testing : K6, JMeter Collaboration Tools : Jira, Confluence, Snagit AI More ❯

maintain data-intensive web applications and APIs Develop scalable systems using Python (Django, FastAPI, Flask) Deploy and manage applications across on-premise and cloud environments Implement CI/CD, automated testing, and containerisation best practices Collaborate closely with R&D, operations, and scientific teams to ensure reliability and performance You’ll Succeed If You Have Strong, production-level experience with More ❯

and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and DevSecOps teams , building automation pipelines that accelerate model development and deployment across distributed, cloud-native systems. Key Responsibilities Design, implement, and maintain end-to-end MLOps pipelines for model training, validation, deployment, and … Docker) and orchestration (Kubernetes) . Expertise in Terraform , Infrastructure as Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated testing frameworks. Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with MLflow, Kubeflow, DVC, or similar MLOps tools . Understanding of cloud security principles , IAM, and … networking best practices. Proficiency in Python and Bash scripting for automation and tooling development. Version control with Git , and collaborative development practices. Desirable Experience Exposure to bioinformatics or health data ecosystems (WGS, transcriptomics, clinical data). Knowledge of data governance and compliance frameworks (GDPR, ISO27001, HIPAA). Experience building monitoring dashboards for ML performance metrics. Familiarity with distributed training More ❯