Top Python Jobs in London

As a Back End Engineer, you will build scalable services, integrate data sources, and contribute to the development lifecycle, ensuring code quality and supporting the product. You will collaborate with cross-functional teams to enhance customer insights and experience.

Maintain and improve reliability, availability, and performance of vehicle software across the dev fleet. Build monitoring, alerting, and automation for deployments and fleet operations. Lead incident response, post-incident learning, capacity planning, and collaborate with Vehicle SW, ops, and platform teams on SLOs and release readiness.

Lead the technology evolution behind credit decisioning and model training. Collaborate with teams to deliver innovative solutions and mentor engineers.

Lead the delivery of high-impact marketing effectiveness programs using data science methods for international clients, managing teams and ensuring actionable insights are provided.

Manage high-impact marketing effectiveness programmes, oversee project governance, mentor teams, and drive strategic client insights, focusing on business growth.

Build and maintain Looker dashboards and core data models, write and optimise SQL in BigQuery, support the modern data stack (Fivetran, dbt), perform ad-hoc and cohort analyses, and partner with cross-functional teams to drive pricing, revenue, and strategic decisions while improving data quality and documentation.

Work on Developer Experience building full‑stack web and AI tooling. Develop Next.js/React frontends and Node.js/GraphQL backends in TypeScript, integrate AI, CI pipelines, developer tooling, cloud/serverless, and data stores. Collaborate across product, design, SRE and data teams to deliver performant, observable, secure, and scalable developer-facing products and automation.

Partner with product and commercial stakeholders to own data relationships, report on performance and experiments, build self-serve analytics, contribute to data modelling and AI/ML projects, and deliver actionable insights via dashboards and deep-dive analysis.

As a Senior Product Engineer, you will engineer the WFM product, enhance features to improve scheduling accuracy and operational efficiency in hospitality.

As a Founding Engineer at The Flex, you'll design and build core technologies, own systems end-to-end, and implement initial architectures, while solving real-world challenges and establishing best practices.

Provide Level 2 and Level 3 technical support for mission-critical applications focusing on reliability, automation, and system stability. Responsibilities include application support, managing containerized environments, troubleshooting incidents, and participating in project delivery.

As a Lead Full-Stack Engineer, you will own the technical direction and architecture of The Flex platform, design and build scalable systems, and mentor engineers, focusing on high-quality, reliable solutions.

As a Full-Stack Engineer, you will design and build scalable web applications and APIs, integrate external partners, and automate operations for The Flex platform.

As a Senior Software Engineer, you'll design, build, and scale the core systems and APIs of The Flex platform, focusing on automation, reliability, and performance.

The Credit & Commercial Manager will lead the pricing strategy, utilizing analytics and insights to optimize performance and enhance the customer journey in the motor finance sector.

The Credit & Commercial Senior Analyst will optimize pricing strategies and improve business performance by leveraging strong analytical skills and data insights. Responsibilities include defining strategies, collaborating cross-functionally, and continuously monitoring market trends.

Lead the development of AI models for drug discovery, optimize performance, collaborate across teams, and drive innovation in healthcare.

Back-end engineer to build and scale NLPatent's AI-first patent research platform. Work with CTO and senior engineers to develop Python/Django services, containerized deployments, and relational database-backed features. Collaborate on integrating NLP/LLM capabilities and ensure production-ready systems. Hybrid role requiring three days onsite weekly.

Lead architecture and full-stack development of AI-powered platforms, build scalable frontend and backend systems, mentor engineers, translate client problems into production-ready solutions, and ensure high code quality and reliable deployments.

Design, build and scale full-stack AI-powered systems. Own frontend and backend architectures, lead cross-functional teams, mentor junior engineers, provide technical authority, and collaborate with clients on architecture and deployment.

Lead technical direction and delivery of complex ML projects: design and operate scalable ML systems, define roadmaps, build reusable libraries, mentor engineers, hire, and advise clients on architecture and estimates to deliver safe, production-grade AI solutions.

Cloud Engineers at Faculty build scalable Cloud Infrastructure for data and machine learning workflows, collaborating with technical teams and customers.

Build, deploy and productionise ML systems and infrastructure; design scalable, reusable ML solutions; lead technical scoping and architecture; collaborate with engineers, data scientists and clients; act as technical advisor to stakeholders.

Lead global risk and trading teams, implement quantitative risk models, analyze order flows, detect trading abuse, and enhance risk processes.

The Senior Data Operations Manager oversees platform management, user engagement, technical support, and data quality in a media planning context. They manage a direct report and work closely with developers to enhance platform functionality and ensure user satisfaction.