Top Python Developer Jobs in London

Design, build, test, and maintain scalable ELT data pipelines and architectures using Python and Databricks. Ensure data security, entitlement controls, and SDLC quality (CI/CD, testing). Use SQL/NoSQL, update data models, apply enterprise-authorized AI responsibly, and support controls and auditability across the data lifecycle.

Lead design and delivery of secure, scalable cloud platform tooling and DevEx practices to support AI/ML and data platforms. Drive CI/CD, observability, cloud security, AI-assisted engineering adoption, paved paths, telemetry, and cross-team modernization while mentoring engineers and governing AI-assisted workflows.

Build and ship reliable backend features for a mortgage engineering team using Python and modern backend technologies. Own work end to end, including technical design, implementation, testing, deployment, and iteration. Collaborate across engineering, product, frontend, and external partners while contributing to architecture, APIs, data modeling, performance, security, reliability, and developer experience. The role emphasizes product thinking, ownership, clean code, thoughtful reviews, and growth toward senior-level contribution.

Build and maintain secure, scalable Flow Registry features for GitLab’s agentic platform using Python, LangChain, and LangGraph. Design GraphQL and REST APIs, improve automated testing, optimize PostgreSQL-backed applications, and collaborate across backend, frontend, product, UX, and AI teams. Participate in Tier 2 on-call support, troubleshoot production issues, improve observability, and contribute to responsible AI integration in GitLab’s remote, asynchronous environment.

Build and maintain full-stack web applications and automations for Central Operations using Python, FastAPI, React, and Next.js. Deliver tools used by operations teams, improve workflows through intelligent automation, and collaborate with Product, Data Science, and Analytics. Contribute to technical direction, apply strong engineering practices, and explore generative AI and LLM solutions to improve customer support, fraud prevention, complaints processing, and operational efficiency.

Develop and maintain Python applications, services, data processing solutions, and scalable ETL/ELT pipelines. Integrate structured and unstructured data from APIs, databases, files, and streaming systems while ensuring quality, performance, reliability, and security. Collaborate with engineering and architecture teams, contribute to data platform design, implement testing and monitoring, and support technical documentation and engineering standards.

Build and maintain secure, production-ready ML solutions and cloud frameworks using Python and AWS. Collaborate with data scientists, platform teams, SRE, and engineering communities to integrate, deploy, monitor, and scale AIML systems following SDLC and MLOps practices.

Lead software engineer on AI/ML data platforms building secure, cloud-native production systems. Designs, implements, debugs, and reviews code, drives adoption of AI-assisted engineering practices, mentors junior engineers, evaluates vendors, and ensures operational stability and secure SDLC practices.

Design and build scalable Python microservices and APIs for an AI-powered code modernization and migration platform. Develop MCP servers and agent tools, orchestrate agentic and multi-agent workflows, and manage backend service lifecycles. Ensure services are robust, observable, tested, and production-ready while shaping tool-calling, state-management, and distributed-system architecture. The role also involves Git workflow automation, developer tooling, and potentially containerized deployments and agent-facing interfaces.

The Core Developer will focus on creating and maintaining systems for trading activities, including data capture, reconciliation, and automated settlement, primarily using Python and some C++.

The Senior Backend Software Engineer will design, build, and maintain scalable backend systems. Responsibilities include collaboration with teams, API implementation, and ensuring best practices in software engineering.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The role involves building a scalable integrated payment and checkout architecture using Python, ensuring smooth partner integrations, and enhancing onboarding automation.

You will lead complex projects involving Python systems, collaborating with sales teams, mentoring developers, and ensuring operational support for trading systems.

Design and develop scalable server-side components, integrate APIs, automate workflows, and collaborate with teams on financial solutions.

In this role, you'll develop reliable Python systems for trading operations, collaborate on projects, debug issues, and provide operational support.

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.

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.

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.

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.

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.