1 to 25 of 33 Permanent pytest Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

ServiceNow. Strong attention to detail. Able to produce and review quality deliverables. Tools Knowledge Cloud Platforms: Azure Scripting/Programming: Python, JavaScript/TypeScript Test Automation(UI & API): PlayWright, PyTest, Power Apps Test Studio CI/CD Tools: Azure Devops Version Control: GIT Issue Tracking & Collaboration: Jira, Zephyr, Confluence, SharePoint, Azure Devops Web Accessibility Testing: JAWS, NVDA, Axe Nice to 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 ❯

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 ❯

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 ❯

Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders. Desirable: Use of Python libraries that encourage best practices such as pytest, pylint, black etc. Experience with symbolic reasoning engines and integration with neural networks. Strong technical writing skills as evidenced by relevant publications or blogs. Start-up experience. Git/Github More ❯

control, and database security Experience with TimescaleDB and time-series data is a big plus Solid skills in Python, CI/CD pipelines, and automated testing (e.g. pg_tap, pytest) A collaborative approach and strong communication skills to engage cross-functional teams Why Join? Work on impactful projects in the AI and energy space Hybrid working with regular team events More ❯

of machine learning fundamentals and cloud deployment. Excellent communication skills with the ability to influence technical and non-technical stakeholders. Desirable Use of Python libraries that encourage best practices (pytest, pylint, black). Experience with symbolic reasoning engines and integration with neural networks. Strong technical writing skills (publications, blogs). Start-up experience. Git/GitHub proficiency. Experience with cloud More ❯