Top Python Jobs in London

The Palantir Solution Architect will lead teams to design and deliver data solutions, implement designs, collaborate with customers, manage timelines, and mentor staff.

Responsible for building and optimizing backend services, managing data accuracy, database performance, design ingestion pipelines, and support AI workflows.

Design and build production applications for LLMs, manage evaluation and reliability metrics, and ensure performance and cost-effectiveness in a fast-paced environment.

As a Software Engineer at Landytech, you will develop and maintain APIs for financial metrics, optimize systems, and collaborate with the team on scalable data solutions.

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.

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

Quantitative Researchers analyze data sets, identify patterns, and develop predictive trading models while collaborating with various stakeholders in trading strategies.

The Backend Engineer will develop and maintain backend services and data pipelines to support Miro's AI initiatives, ensuring scalability and reliability.

Lead and develop US technical support while co-owning Philippines operations to deliver 24/5 support. Manage escalations, partner with Engineering/Product, standardize triage workflows, improve SLAs, leverage observability/tools, and advocate for customers across enterprise integrations and ERP/SSO systems.

The Quantitative Developer will design and develop cloud-native Python applications, build quantitative tools for trading, and collaborate with Researchers and Traders on infrastructure and data engineering initiatives.

The Quantitative Researcher will create predictive signals, analyze data patterns, and implement models within a global execution platform, leading the entire research strategy cycle.

As a Senior Python Engineer at Abound, you'll develop automation for financial operations, translating business requirements into reliable systems, while collaborating closely with stakeholders.

As a Staff Software Engineer, you'll lead technical direction, manage engineering roadmaps, ensure code quality, and collaborate with teams on high-impact projects in building Plaid for Europe.

The Solutions Architect will design and deploy scalable AI infrastructure and applications, working closely with enterprise clients to optimize agent systems and ensure customer success.

As a Data Scientist at Spotify, you'll analyze large datasets, collaborate with teams, and implement AI solutions for strategic insights.

Design and operate backend services for Spotify's voice experiences, collaborating across disciplines and ensuring code quality and system reliability.

Design, develop, and deploy software solutions while collaborating with teams, contributing to technical discussions, and enhancing engineering best practices.

The Senior Engineer will design, develop, and deploy software solutions for a global financial platform, collaborating with cross-functional teams and maintaining high-quality standards.

The Lead Data Engineer will manage the data engineering function, lead a team, design data architecture, and enhance data engineering with AI solutions.

Lead the design and operation of AWS/Linux platforms, ensuring performance, scalability, and cost efficiency. Build CI/CD pipelines and automate workflows, while mentoring engineering teams and driving DevOps practices.

Lead the design and operation of AWS/Linux platforms, optimize infrastructure, drive DevOps excellence, and mentor engineering teams to improve reliability and deployment efficiency.

The Research Engineer will work with researchers to develop software solutions in quantitative finance, focusing on performance optimization and system scalability.

The Principal Data Analyst will lead a team to deliver analytical solutions, manage performance analysis, and optimize decision-making in the Supply domain.

Lead the design and operation of AWS/Linux platforms, improving reliability and scalability, and drive faster deployments through modern engineering practices and mentoring engineering teams.

As a Full Stack Software Engineer, collaborate with teams to build and scale AI-powered systems, handling the full application lifecycle and deploying solutions.