Top Python Developer Jobs in London

Manage and enhance portfolio construction algorithms for Index Fixed Income, collaborating with PMs and Technology teams to improve processes and reporting.

As a Data Platform Engineer, you will develop and manage a cloud-based database platform, focusing on automation, reliability, and security across multiple environments, particularly using YugabyteDB.

Design, build, and operate a scalable internal database platform, focusing on YugabyteDB components. Lead initiatives and ensure security, reliability, and efficiency in database management.

Develop and maintain CWAN's cloud-based platform components, troubleshoot technical issues, and collaborate on deployments and architectural decisions.

The role involves modernizing backend systems by developing and maintaining Python services using TDD, leveraging AI tools, and ensuring quality through rigorous testing and DevOps practices.

Design, build and support an electronic FX Options data platform and fast pipelines for quantitative analysis. Collaborate with quants and traders to translate requirements, improve architecture, deployment, testing, and mentor developers.

Design and develop Python applications, integrate AI features, collaborate with teams, optimize performance, and troubleshoot production issues.

The VP, Software Engineer will lead an engineering team in building scalable data architecture solutions, mentor engineers, and engage in technical discussions to shape data-driven products.

As a Python Developer, you'll lead the development of internal applications and automations using Python and modern JS frameworks, contributing to operational efficiency at Lendable.

Collaborate with traders and researchers to design and build robust data systems for trading analysis in a fast-paced environment.

Lendable seeks a full-stack Python engineer to enhance operational efficiency by developing web applications and automations across its core products. The role involves collaboration with Product, Data Science, and Analytics teams to implement features that optimize customer service operations.

Join the Front Office R&D team to design and maintain Python libraries and frameworks, provide production support, and enhance system reliability.

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

The Python Developer will create APIs and web services, support digital products, collaborate in a team, and implement innovative solutions.

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

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.

The Python Developer will create automation tools for trading risk and compliance, improve testing methods, and develop maintainable code.

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 Senior Software Engineer will enhance LocalStack's AWS core emulator, contribute to architecture evolution, and improve reliability while collaborating with the engineering team.

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.

The role involves scaling financial document enrichment, enhancing AWS infrastructure, managing ML/NLP model integration, and mentoring team members at FactSet.

This role involves enhancing container security tools, ensuring secure platforms, collaborating with various teams, and improving the developer lifecycle and SDLC.

Develop and enhance security capabilities for Generative AI applications, build security testing frameworks, and collaborate across teams to ensure protection against adversarial attacks.

The Machine Learning Engineer will develop AI-driven features, deploy scalable systems, and enhance reliability while collaborating with teams to integrate AI solutions.

As a Senior Python Scraping Engineer, you will create large-scale web scraping systems, focusing on reliability and overcoming complex scraping challenges, particularly from Google. Key responsibilities include building scrapers for dynamic environments, managing data extraction pipelines, and collaborating with data teams to ensure data accuracy.