8+ years of relevant Python Application development experience • Creating applications and packages with Python 3 • Writing reliable unit and end-to-end tests with PyTest • Experience working in fast- paced project delivery using AGILE methods • Strong software development skills, knowledge of best practices (SOLID, CI/CD, MS DevOps pipelines More ❯
sector Experience with cloud technologies, such as Azure Data Factory In depth experience, knowledge and understanding of test automation frameworks with Karate, JSON, NUnit, Pytest, Eggplant; along with Github Actions pipeline and IntelliJ IDE. In-depth understanding of COTS products and data modernization/transformation programmes, especially data ingestion, ETLs More ❯
Version Control & DevOps: Skilled in GitHub, GitHub Actions, Azure DevOps Azure Data Factory, Databricks, SQL DB, Synapse, Stream Analytics Glue, Airflow, Kinesis, Redshift SonarQube, PyTest If you're ready to take on a new challenge and shape data engineering in a trading-first environment, submit your CV today to be More ❯
financial services or high-performance tech environments Strong programming/scripting skills in Python, Java, or similar Experience with automation tools such as Selenium, PyTest, or similar frameworks Familiarity with CI/CD pipelines, version control, and test integration in DevOps environments Understanding of trading systems, market data, or real More ❯
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 More ❯
services, with a strong background in Python development and automation testing. Expertise in server and database layer testing, and familiarity with tools such as Pytest, is highly desirable. Experience with trading systems or FIX Protocol would be considered a significant advantage. The successful candidate will have excellent communication skills, a More ❯
agent system. Work alongside DevOps to build scalable, automated ML deployment pipelines. Write clean, well-documented code using Python and modern tooling (gRPC, Alembic, Pytest, etc.). Requirements: 1–3 years of experience in ML or AI Proficiency in Python, SQL, cloud platforms (Azure), and modern ML frameworks (TensorFlow, PyTorch More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Peregrine
industry best practice for model training and deployment Skills criteria Strong python programming skills Good knowledge of software engineering best practice Experience with TDD (pytest or equivalent) Experience with cloud native deployments (currently in Databricks and Azure) Experience with Databricks Experience with managed endpoints, AKS or equivalent Experience with VCS More ❯
automated testing framework tailored to the team’s code base. Create and maintain automated test plans for functional, regression, and smoke testing using Python (Pytest). Collaborate with developers and stakeholders to ensure features are thoroughly tested in parallel with ongoing development. Assess existing systems for automated testability and enhance … components. Excellent communication skills and a proactive, ownership-driven mindset. Degree in Computer Science, Engineering, or a related technical field. Preferred Experience: Expertise with Pytest and Python-based automation tooling. Prior exposure to equities trading environments. Familiarity with KDB and FIX protocol testing. Experience testing front-end interfaces and GUIs. More ❯
