Top Python Developer Jobs in London

Design, implement and support front-office trading applications for the Derivatives Engine, focusing on hedging, risk management, pricing and ad-hoc trading tools. Work closely with traders, quants and technology to translate requirements into production-quality Python solutions, ensure testing and support plans, and help hand over tactical tools to central technology teams.

Build and maintain backend services, APIs, and data pipelines for Modo's energy market platform. Own AWS infrastructure with Terraform, implement monitoring, and contribute to LLM-powered features. Collaborate with analysts and data scientists and split time between new features and platform health.

As a Senior Python Engineer, you'll design and build the core infrastructure for AI forecasting systems, integrating data ingestion and reasoning mechanisms while contributing to technical strategy and team growth.

Develop full-stack and backend systems with hands-on Python coding across the full software lifecycle. Contribute to design, integrations, testing, process optimization, and deliver high-quality customer features in an agile team.

Build, optimize, and support a scalable AWS cloud risk platform that computes risk for cash and derivative trades using Snowflake-stored data. Develop Python-based risk engines, improve distributed computation performance, reconcile outputs with legacy systems, troubleshoot pricing/risk issues, collaborate with IT teams, and participate in on-call support.

Build and operate Python-based data ingestion, ETL, detection, and forensic artifact extraction pipelines for a mobile EDR platform. Productionize threat detection prototypes, optimize large-scale data storage and queries, deploy services on AWS, and establish monitoring, validation, fault tolerance, and data quality controls. Collaborate closely with security researchers to develop reliable tooling and scalable systems for identifying mobile spyware and other threats.

Design, build, and maintain large-scale, high-performance distributed systems and backtesting platforms. Write production-quality Python on Linux, learn/use C++, and apply strong data-structures, algorithms, concurrency, and system-programming skills. Collaborate with researchers to support scalable quantitative research and production trading workflows.

Architect and build multi-petabyte streaming data platform processing billions of datapoints daily. Design and optimise distributed systems using Java/Python, Kafka, ArcticDB and databases. Collaborate with stakeholders, adopt AI-assisted development tools, troubleshoot performance issues, and drive delivery in a market-data environment.

Build and maintain backend services and data pipelines for large-scale optimisation runs. Validate and integrate client trade data, develop APIs, improve performance and reliability, automate workflows, and generate reports delivered securely to clients.

Build and maintain Python-based test automation frameworks and suites. Design and execute UI, API, integration and end-to-end tests, create Gherkin test cases, ensure traceability, support CI/CD pipelines, investigate defects, manage test data, and collaborate with product, engineering and QA teams to embed shift-left quality practices across the SDLC.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

As a Quant Developer, improve research frameworks, develop tools for trading strategies, and support the quantitative research team on-site.

Design, implement, and deliver full-stack features for the Validus Horizon platform. Build and maintain ETL/data pipelines and integrations, own small-to-medium projects, improve system performance and scalability, collaborate with stakeholders and clients, mentor team members, and present technical solutions and roadmaps to drive product and client success.

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 Software Engineer at Landytech, you will develop and maintain APIs for financial metrics, optimize systems, and collaborate with the team on scalable data solutions.

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.

Join the Core backend team to develop resilient platform infrastructure powering B2C, B2B and API features. Build and refine critical flows for OCPI charging sessions, evolve tariffs/pricing logic, improve observability and scalability, and collaborate cross-functionally to deliver robust technical solutions.

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.