1 to 25 of 41 Permanent pytest Jobs in the UK excluding London

Azure), is a plus. Version Control: Experience with Git and familiarity with CI/CD pipelines (e.g., Jenkins, GitLab CI). Testing and Debugging: Experience with testing tools like pytest, unit tests, and debugging skills to quickly resolve issues. API Design: Strong knowledge of RESTful API design and implementation; knowledge of GraphQL is a plus. Security Best Practices: Awareness of More ❯

of APIs and modern protocols (REST, HTTP, JSON). Experience with CI/CD tools and version control (Git, Jenkins, GitHub Actions, etc.). Familiar with automated testing libraries (Pytest, Google Test). Strong communicator, able to document and share results clearly. Nice to Have: Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF More ❯

of APIs and modern protocols (REST, HTTP, JSON). Experience with CI/CD tools and version control (Git, Jenkins, GitHub Actions, etc.). Familiar with automated testing libraries (Pytest, Google Test). Strong communicator, able to document and share results clearly. Nice to Have: Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF More ❯

of APIs and modern protocols (REST, HTTP, JSON). Experience with CI/CD tools and version control (Git, Jenkins, GitHub Actions, etc.). Familiar with automated testing libraries (Pytest, Google Test). Strong communicator, able to document and share results clearly. Nice to Have: Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF More ❯

development environments. Knowledge & Technical Skills Strong background in testing scientific/engineering tools, enterprise software, or similarly complex applications. Proficiency with modern test automation frameworks (e.g., Selenium, Playwright, Cypress, PyTest, etc.). Strong understanding of CI/CD systems (e.g., Azure DevOps, GitHub Actions, Jenkins, GitLab CI,). Familiarity with source control (Git). Knowledge of software development practices (C++ More ❯

development environments. Knowledge & Technical Skills Strong background in testing scientific/engineering tools, enterprise software, or similarly complex applications. Proficiency with modern test automation frameworks (e.g., Selenium, Playwright, Cypress, PyTest, etc.). Strong understanding of CI/CD systems (e.g., Azure DevOps, GitHub Actions, Jenkins, GitLab CI,). Familiarity with source control (Git). Knowledge of software development practices (C++ More ❯

/MySQL (Google Cloud SQL), MongoDB Cloud: Google Cloud Run, Cloud Storage, AWS EC2/S3/Lambda Tools: Docker, GitHub, Jira, AI-assisted dev tools (Copilot, ChatGPT) Testing: Pytest, Jest, Cypress (AI-assisted test generation encouraged) Why Join Us? AI-first development environment we embrace AI to accelerate build, test, and release cycles. Work on cutting-edge SaaS used More ❯

/MySQL (Google Cloud SQL), MongoDB Cloud: Google Cloud Run, Cloud Storage, AWS EC2/S3/Lambda Tools: Docker, GitHub, Jira, AI-assisted dev tools (Copilot, ChatGPT) Testing: Pytest, Jest, Cypress (AI-assisted test generation encouraged) Why Join Us? AI-first development environment we embrace AI to accelerate build, test, and release cycles. Work on cutting-edge SaaS used More ❯

Java, JavaScript, C++, Scriban Web Technologies: RESTful APIs, HTTP, JSON, HTML, CSS, Node.js Databases: SQL Server, MySQL, PostgreSQL, MongoDB Tools & Frameworks: Git, Docker, Jenkins, Kubernetes, Agile (Scrum & Kanban), JIRA, Pytest, Powershell Operating Systems: Linux, Windows Additional skills that will set you apart: CI/CD pipelines and debugging expertise BDD frameworks such as Cucumber Strong problem-solving mindset and collaborative More ❯

workflow and issue tracking. Knowledge of CI/CD pipelines, version control systems (e.g., Git), automated testing at various levels (unit, integration, system). Experience with test libraries like Pytest or Google Test. Exposure to front-end stacks—HTML, CSS, JavaScript, TypeScript, Node.js—is a plus. Experience with AI-assisted development tools is advantageous. Additional Skills That Would Be Beneficial More ❯

workflow and issue tracking. Knowledge of CI/CD pipelines, version control systems (e.g., Git), automated testing at various levels (unit, integration, system). Experience with test libraries like Pytest or Google Test. Exposure to front-end stacks—HTML, CSS, JavaScript, TypeScript, Node.js—is a plus. Experience with AI-assisted development tools is advantageous. Additional Skills That Would Be Beneficial More ❯

workflow and issue tracking. Knowledge of CI/CD pipelines, version control systems (e.g., Git), automated testing at various levels (unit, integration, system). Experience with test libraries like Pytest or Google Test. Exposure to front-end stacks—HTML, CSS, JavaScript, TypeScript, Node.js—is a plus. Experience with AI-assisted development tools is advantageous. Additional Skills That Would Be Beneficial More ❯

team What They're Looking For Core Requirements Proficiency in Python, with a focus on clean, maintainable code (bonus for experience with type hints, linters, and testing frameworks like pytest) Solid understanding of data engineering fundamentals: ETL/ELT, schema evolution, batch processing Experience or strong interest in Apache Spark for distributed data processing Familiarity with AWS data tools (e.g. More ❯

Bedrock, Athena, or SNS), or other cloud services Azure, or GCP; and familiarity with version control (Git/GitHub), command line, and IDEs software engineering practices : unit testing (e.g. pytest), code reviews, and general good practice in collaborative development applied data science : strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series More ❯

Bedrock, Athena, or SNS), or other cloud services Azure, or GCP; and familiarity with version control (Git/GitHub), command line, and IDEs software engineering practices : unit testing (e.g. pytest), code reviews, and general good practice in collaborative development applied data science : strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series More ❯

including computational, numerate or life sciences), or equivalent experience. Cloud experience (e.g. Google Cloud preferred). Strong skills with industry experience in Python and SQL. Unit testing experience (e.g. pytest). Knowledge of agile practices and able to perform in agile software development environments. Strong experience with modern software development tools/ways of working (e.g. git/GitHub, DevOps More ❯

including computational, numerate or life sciences), or equivalent experience. Cloud experience (e.g. Google Cloud preferred). Strong skills with industry experience in Python and SQL. Unit testing experience (e.g. pytest). Knowledge of agile practices and able to perform in agile software development environments. Strong experience with modern software development tools/ways of working (e.g. git/GitHub, DevOps More ❯

life sciences), or equivalent experience. Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential. Strong skills in Python. Unit testing experience (e.g. pytest). Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub, DevOps More ❯

life sciences), or equivalent experience. Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential. Strong skills in Python. Unit testing experience (e.g. pytest). Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub, DevOps More ❯

looking for a Quality Engineer to join their team on an initial 6-month contract. Key skills/knowledge required: Strong proficiency in Python-based testing frameworks (e.g., Behave, PyTest, unittest) Experience in automated testing of data pipelines and ETL processes Experience with data validation frameworks and testing data transformations across Snowflake and AWS environments Knowledge of API testing tools More ❯

CI/CD and DevSecOps workflows. Conduct global on-site testing and regulatory demonstrations. What You’ll Bring: Strong background in QA/Test Engineering with automation expertise (Python, Pytest, etc.). Experience with Linux, Kubernetes, cloud (AWS), and large-scale data testing. Familiarity with AI/ML validation and performance profiling. A proactive, structured approach and willingness to travel More ❯

CI/CD and DevSecOps workflows. Conduct global on-site testing and regulatory demonstrations. What You’ll Bring: Strong background in QA/Test Engineering with automation expertise (Python, Pytest, etc.). Experience with Linux, Kubernetes, cloud (AWS), and large-scale data testing. Familiarity with AI/ML validation and performance profiling. A proactive, structured approach and willingness to travel More ❯

CI/CD and DevSecOps workflows. Conduct global on-site testing and regulatory demonstrations. What You’ll Bring: Strong background in QA/Test Engineering with automation expertise (Python, Pytest, etc.). Experience with Linux, Kubernetes, cloud (AWS), and large-scale data testing. Familiarity with AI/ML validation and performance profiling. A proactive, structured approach and willingness to travel More ❯

rigs and simulation tools to catch bugs early Optimising code for performance, memory, and reliability at the edge Tech you might use or encounter: Python (asyncio, multiprocessing, struct, ctypes, pytest) Linux (systemd, udev rules, shell scripting, device trees) Microcontrollers and SBCs (Raspberry Pi, BeagleBone, STM32, ESP32) Networking and messaging: ZeroMQ, MQTT, TCP/UDP sockets ROS, FreeRTOS, or similar frameworks More ❯

rigs and simulation tools to catch bugs early Optimising code for performance, memory, and reliability at the edge Tech you might use or encounter: Python (asyncio, multiprocessing, struct, ctypes, pytest) Linux (systemd, udev rules, shell scripting, device trees) Microcontrollers and SBCs (Raspberry Pi, BeagleBone, STM32, ESP32) Networking and messaging: ZeroMQ, MQTT, TCP/UDP sockets ROS, FreeRTOS, or similar frameworks More ❯