Top Python Developer Jobs in London

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

As a Python Developer at Lyst, you'll tackle challenges in product development, working with a team to enhance user experience and handle data ingestion and payment systems.

Partner with quantitative traders and researchers to design, build, deploy, and support production-grade Python reporting and analytical tools, integrate alternative datasets, and deliver insights for trading strategies and performance monitoring.

Develop and maintain derivatives credit risk applications, optimize performance, and support CI/CD processes while collaborating with front office teams.

Build, test, and operate cloud-native back-end services using Java (and Python), following secure coding and accessibility (WCAG) standards. Design and deploy RESTful microservices on Azure, work with SQL Server, CI/CD (GitHub Actions), write unit/integration tests, mentor junior developers, participate in agile practices and code reviews, and support service monitoring and incident fixes.

The role involves diagnosing and resolving production incidents, developing fixes in Java, collaborating with teams, and improving system reliability while managing documentation and monitoring performance.

The Software Engineer (Python) role involves developing and maintaining an AI platform, building scalable APIs, and collaborating with cross-functional teams to enhance AI workflows for financial firms.

Build and maintain data pipelines and ETL, transform and model data with SQL and dbt, and use Python to build workflows, automation, and tools to optimise analytics products while collaborating with technical and non-technical stakeholders.

Responsible for developing and optimizing trading systems, collaborating with quants and traders, and driving innovative trading application projects.

Build and maintain RegTech SaaS features by translating business requirements into technical specifications. Contribute to product roadmap, architecture, testing (TDD), and collaborate with PMs, BAs, and engineers to deliver reliable, secure, maintainable code for regulatory reporting solutions.

Design, develop, test, deploy, document, and maintain Python automation solutions for enterprise finance reporting. Maintain 500+ automations, review team code, mentor junior engineers, coordinate with business stakeholders, research AI and Python libraries, lead POCs for AI/agent tools, and advance Reporting CoE governance and sustainability.

As a Senior Python Developer, you will innovate solutions for online shoppers, collaborate with teams, and work on scalable products.

Build and maintain scalable Python backend microservices: productionize data science prototypes, fix production issues, improve monitoring, and ensure tested, well-documented code following engineering best practices.

Work with quantitative researchers and portfolio managers to build, maintain and productionise quantitative trading frameworks and strategies, develop tooling and ML pipelines, improve engineering standards, and deliver robust production solutions for systematic trading.

Collaborate with traders and researchers to design and build robust data systems for trading analysis in a fast-paced environment.

Join the Front Office R&D team to design and maintain Python libraries and frameworks, provide production support, and enhance system reliability.

As a Senior Python Backend Engineer at VidRush, you'll build AI-driven video production systems, ship production-level ML/LLM services, and work closely with product teams while ensuring high autonomy and delivery speed.

As a Senior Software Engineer, you'll build products, deliver continuous changes, mentor teams, architect scalable systems, and promote best practices.

Develop and maintain an AI-driven pipeline to auto-generate, process, and publish real-life and digital quests. Integrate AI frameworks, design scalable automation workflows, analyze user data to improve generation quality, build API integrations, participate in architecture and documentation, test with pytest/unittest, and collaborate with cross-functional teams to validate LLM outputs against real-world data.

Build and maintain Python tools for web scraping, automation, integrations (Airbnb, marketplaces), ad automation, chatbots (Chatwoot), workflow automation (Spiffworkflow), automated tests, and data analysis.