Top Python Developer Jobs in London

Build and maintain Supabase’s public Python SDK across database, authentication, storage, realtime, and edge functions. Develop natural sync and async APIs, manage typing, packaging, testing, release automation, documentation, and issue triage. Collaborate with cross-functional teams and open-source contributors, support multiple Python environments, maintain WebSocket functionality, and design migration paths for API changes. Work autonomously in a remote, asynchronous environment while making the SDK accessible to developers and AI coding agents.

Build and maintain backend services and APIs for a fintech platform using modern Python tools. Design scalable, secure systems, integrate third-party services, implement async and event-driven workflows, investigate distributed system issues, contribute to architecture and code quality, and mentor peers in a collaborative product team.

Develop quantitative foundations for a risk and PnL management platform supporting trading across asset classes. Build risk models, scenarios, performance attribution, pricing integrations, and scalable analytics infrastructure. Collaborate with traders, quantitative researchers, pricing quants, and technology teams to translate requirements into production systems for real-time risk and performance management.

The role involves developing and maintaining Python micro-services for a proprietary trading platform, collaborating with traders and global teams, and integrating with analytics libraries.

Design, build, test, and maintain scalable full-stack web applications and integrations using Java, Python, and React. Implement AI-enabled features, event-driven data pipelines, and marketing integrations (CDP/CRM/CMS). Improve code quality via AI-assisted tools, CI/CD, observability, and security/compliance best practices while collaborating with product, marketing, and partners.

Lead design, development, and delivery of risk, pricing, trade capture, and commodities operations software. Collaborate with trading, quant, sales, and middle office to produce secure, high-quality production code, provide technical guidance, and drive product and architecture decisions. Promote cross-team collaboration, firmwide engineering practices, and mentor engineers to deliver scalable solutions.

Build and improve research and production infrastructure for quantitative trading. Develop Python and C++ systems, libraries, backend services, and workflow tooling for strategy research, testing, and deployment. Improve performance, algorithmic efficiency, scalability, and distributed compute capabilities while partnering with quantitative researchers and traders. Own projects through design, implementation, testing, rollout, and ongoing enhancement.

Design, provision, and operate reliable shared infrastructure across AWS, GCP, Azure, and on-premises environments. Manage Kubernetes clusters, multi-tenancy, secrets, GPU workloads, networking, service meshes, and infrastructure as code using Terraform and Crossplane. Develop operators, establish reliability targets, respond to incidents, and partner with security and platform teams on governance and compliance.

Develop and improve backend pricing, discounting, subscription, payment, and financial reporting systems for a large-scale electric vehicle charging platform. Monitor and debug applications and infrastructure, maintain asynchronous processing systems, support payment issue resolution, and collaborate with cross-functional teams to deliver robust, scalable software.

Design and build scalable backend systems, robust APIs, data models, and integrations using Python, GraphQL, PostgreSQL, NoSQL databases, and AWS. Collaborate within cross-functional teams, contribute to frontend applications when needed, own features through delivery, and promote maintainable engineering practices. Mentor teammates and use AI tools to improve development. Frontend experience with React, TypeScript, and Next.js, plus event-driven architecture experience, is beneficial.

Develop and deploy greenfield full-stack services supporting trader workflow tooling for Citi’s Strategic Equity Solutions business. Responsibilities include designing scalable software, collaborating with business stakeholders, writing high-quality code, mentoring engineers, evaluating new technologies including AI tools, and owning the full software lifecycle through testing, deployment, and monitoring. The role emphasizes Python or Kotlin backend development, frontend frameworks, microservices, Kubernetes, OpenShift, and DevOps practices.

Build and operate high-traffic backend services for Universal Wallet, supporting fiat and stablecoin deposits, withdrawals, balances, integrations, and settlement. Develop across Python and Kotlin/Java stacks, design APIs and event-driven systems, improve architecture and observability, review code, and participate in on-call production support. Collaborate asynchronously across teams, influence technical decisions, and deliver reliable financial infrastructure.

Design, build, optimize, and productionize machine learning pipelines, data engineering workflows, tooling, and low-latency Python/C++ systems. Partner with quantitative researchers to turn trading model prototypes into scalable production systems. Responsibilities include architecture design, performance optimization, automated testing, cloud deployment, model serving, and supporting real-time inference for sports betting analytics.

Design and develop software solutions, analyze complex problems, and provide support for trading activities in a dynamic environment.

Develop and maintain a Python-based SaaS platform for project, data, and annotation management. Collaborate with data and platform engineers to build efficient data-handling processes and work with stakeholders to define and validate software features. The role supports machine learning and data science teams developing connected surgical technology, using production software engineering, cloud infrastructure, DevOps practices, and iterative development methods.

Lead design, development, testing, release, and production support for Equity Derivatives workflows. Own production outcomes, incident triage, stakeholder communication, UAT, architecture and observability. Drive adoption of AI-assisted engineering practices, maintain release discipline, gather telemetry for stability metrics, and improve system reliability and coding hygiene through cross-functional collaboration.

Lead development of microservices that fetch, enrich, consolidate, and distribute network metadata. Design, build, test, and maintain secure, resilient production code; drive adoption of AI-assisted engineering practices; automate remediation and CI/CD; evaluate vendor solutions; coach teams on responsible AI and cloud/network technologies; lead communities of practice and ensure operational stability.

Build and operate low-latency Python services for live Rates risk and P&L. Partner with traders and risk managers to deliver production-ready solutions, own releases/monitoring/incidents, troubleshoot distributed systems, and improve CI/CD and operational readiness.

Lead development of the QES trading platform: design, build, test, and maintain production-grade software. Collaborate with front office (trading, structuring, research), deliver secure high-quality code (Python/Java/TypeScript/React), automate operational remediation, and lead agile engineering practices and communities of practice.

Lead development and enhancement of equity derivatives trading and analytics applications, drive automation and AI-assisted engineering practices, collaborate with trading and quant teams, maintain global platform stability, and lead the Systematic Quoting Platform workstream for EMEA.

Lead design and delivery of cloud-native data and AIML production systems. Build data engineering, backend, Cloud infra/DevOps and MLOps stacks, produce secure production code, architect microservices and distributed, data-intensive applications, and drive adoption/governance of AI-assisted engineering practices while communicating with stakeholders.

Design, develop, deploy, and maintain advanced AI products and data pipelines. Collaborate with engineers, data scientists, and product owners to deliver production-grade, secure, scalable code. Architect AI-enabled engineering workflows, improve SDLC automation, ensure compliance, and provide technical leadership and architecture governance.

Lead design and delivery of high-performance, real-time data pipelines and analytics for trading. Drive AI-enabled data engineering, mentor engineers, manage global initiatives, and improve SDLC, testing, and operational reliability.

Design, build, and maintain large-scale, secure data engineering solutions. Lead architecture, deliver production code, drive automation and operational stability, mentor teams, and evaluate vendor/technology choices to advance risk technology platforms.

Lead integration and DevOps work for a low-latency equities onboarding team: participate in requirements, design, development, production rollouts, integration testing, release management, and automation using Linux, Python, shell scripting, networking and FPGA technologies to ensure stable, high-quality deliveries.