Top Python Jobs in London

The Infrastructure Specialist will support, maintain, and enhance core infrastructure, ensuring systems' reliability and optimal performance, resolving complex technical issues, and collaborating on IT initiatives.

The Data Engineer will analyze, clean, and manage various datasets to assist traders at Jane Street, automating ETL processes and ensuring data quality.

Software Engineers at Jane Street engage in collaborative technology-driven work, using functional programming with OCaml and Python for various business problems.

Join a Machine Learning team to build deep learning models for trading strategies, collaborating with researchers and traders in a dynamic environment.

As a Quant Developer, you will enhance the research framework and support quantitative research teams, optimizing trading tools and systems.

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

Design, build, and deploy machine learning models to detect fraud, prevent losses, and monitor risk. Work with Product, Engineering, and Operations to turn large-scale data into production-ready pipelines and model-serving solutions, monitor performance, and continuously improve model accuracy and business impact.

As a Full-Stack Engineer, you'll collaborate with the engineering team to design and launch products across the entire stack, from front-end to back-end and infrastructure.

Own day-to-day IT across London offices and cloud: administer SaaS apps, automate tasks with AI, provide 2nd-line support, manage laptops/AV/printers, and assist onboarding/offboarding. Collaborate with IT and engineering to operate and scale the environment.

The Senior Penetration Tester will conduct penetration testing across various environments, mentor junior testers, and contribute to the development of methodologies.

The Staff Network Engineer designs and optimizes global office networks, ensuring 99.9% uptime, and promotes security through Zero Trust Access while managing significant hardware investments.

Design, build, and maintain scalable data pipelines and transformations using Python/PySpark on Azure (ADF, ADLS Gen2, Synapse). Own pipelines in production, perform monitoring, troubleshooting and performance tuning, create SQL views/tables, support analytics and AI use cases, enforce data governance, collaborate with stakeholders, and maintain documentation and runbooks.

As an AI Software Developer, you'll create AI-driven solutions, collaborate with teams, gather requirements, and manage product deliverables in a financial context.

Lead and mentor engineering teams, design and build Python microservices, ensure system resilience and scalability, and improve CI/CD processes.

The role involves developing, testing, and deploying Python microservices, solving complex technical problems, and contributing to architectural decisions. Engineers will work with a product team and ensure code quality through reviews and testing, while continuously learning and improving practices.

The Financial Risk Manager will support the Risk team with ETD project reporting, risk monitoring, and ensuring awareness of financial risk responsibilities.

The Application Engineer provides technical support for real-time products, assists customers with configurations, offers training, and collaborates with R&D to improve products.

The Staff Engineer will lead the design and evolution of backend and ML infrastructure systems to enhance Spotify's content intelligence capabilities, focusing on scalable and reliable content processing across multiple media types.

As a Software Engineer on the Safeguards team, you will build systems for monitoring AI models to promote safety and prevent misuse, ensuring oversight and user well-being.

The Data Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.

The role involves researching and trading alpha signals for futures and FX, including data handling and portfolio construction, while collaborating with teams.

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

Partner with Payments leadership to manage P&L and balance sheet, build business cases, analyse product and market performance, drive commercial projects, forecast and report results, design processes, and mentor financial analysts to support strategic financial decision-making.

Build and ship scalable financial platform features for insurance and lending products. Design integrations for underwriting, risk scoring, payments and loan servicing. Lead technical projects, improve developer experience, and collaborate cross-functionally to deliver customer and business outcomes.

Develop systems that enhance high-performance trading platforms, focusing on workload distribution and real-time support for quantitative researchers.