Top Python Jobs in London

The role focuses on developing trading applications, enhancing GUIs, and collaborating with trading and quant teams for pricing and execution of algorithms.

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.

Join the Financial Engineering team to develop innovative reporting solutions, enhance existing systems, support clients, and contribute to new initiatives.

The Lead Data Engineer will design and build scalable data infrastructure, mentoring team members and driving data strategies across the organization.

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

Lead and mentor a backend engineering team, managing the development of backend systems and data infrastructure for transport data.

Join the Enterprise Engineering team to extend and support existing systems and engage in greenfield projects, merging technology with business functions across Trading, Operations, and Finance.

The Technical Lead will oversee the design, development, and implementation of AI-driven projects, collaborating across teams and managing technical strategy while being client-facing.

The Reference Data Analyst will manage reference data, ensure data quality, support various teams, and develop new workflows and APIs.

Interns will design, build, and manage data solutions supporting trading operations, collaborating closely with Traders, Researchers, and Engineers in a high-performance environment.

The Site Reliability Engineer will enhance system reliability and performance by designing, maintaining, and troubleshooting scalable systems while ensuring security and compliance.

The analyst will optimize lending strategies, develop models, understand loan economics, design pricing tests, and collaborate with data scientists to support risk assessments.

Define and build IT infrastructure services, secure and manage IT services, and provide 3rd line support while working with various Microsoft technologies.

The Forward Deployed Engineer will collaborate with customers to design and deliver fullstack applications on the Databricks platform, while handling architecture and end-to-end solution delivery.

Develop scalable web applications using React and other technologies, lead technical planning, and solve complex bugs while ensuring performance and reliability.

Develop data and analytics products using machine learning and MLOps, build scalable language services, and automate testing and deployment in a SaaS environment.

Build scalable web applications, participate in technical planning, solve complex problems, and create reliable application architectures using modern tech stacks.

As a Migration Architect, you will lead data migration projects for Veeva Development and Quality Cloud solutions, advising clients and ensuring effective data transitions while mentoring teams and enhancing migration processes.

Assist in innovative AI research, develop SOTA models, and collaborate with teams on various complex use cases, especially focusing on text, image, and speech modalities.

As a Python Engineer at Veeva, you will build scalable web applications, improve APIs, and contribute to the core infrastructure impacting user experience and performance.

Design, develop, and maintain services for Smarkets, implement monitoring, ensure code quality, mentor teammates, and collaborate on projects.

Lead a team in developing and maintaining distributed systems for Smarkets, focusing on scalability, performance, and reliability in a cloud environment.

Lead engineering efforts as a Senior Engineer by driving the technical direction, optimizing architecture, and implementing best practices.

Join the DevOps Infrastructure Team to enhance developer experience, automate workflows, build infrastructure, and ensure system reliability while collaborating with engineering teams.