5 of 5 Remote/Hybrid pytest Jobs in England

such as FastAPI, Django, or Flask Solid knowledge of RESTful APIs and distributed systems Experience working with relational and NoSQL databases Strong testing experience (PyTest, unit, integration, and automated testing) Experience with Git and modern CI/CD pipelines Excellent problem-solving and communication skills Experience with Azure Desirable Docker ...

experience with microcontrollers (ARM Cortex, STM32, ESP32). Knowledge of low-power design, IoT protocols, and secure data transmission. Familiarity with automated testing frameworks (Pytest, Unity, Robot Framework) and debugging tools (JTAG, GDB, oscilloscopes). Experience with version control (Git) and CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps ...

experience: Extensive hands-on experience in Identity & Access Management (IAM) . Strong experience testing solutions on Google Cloud Platform (GCP) . Expertise in Python, Pytest, API automation, CI/CD, and cloud-native testing. Experience with identity protocols and technologies including SCIM, REST APIs, LDAP and OIDC. Knowledge of event ...

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 ...

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 ...