Top Python Jobs in London

As a Senior Fullstack Engineer, you'll develop backend services in Python/Django and frontend applications in Typescript/React, ensuring data quality and system performance while contributing to architecture and mentoring.

The Senior Data Engineer designs, maintains, and optimizes ML applications and data pipelines, ensuring compliance and quality while mentoring junior engineers.

Canonical is hiring a Software Engineer to develop features for Kubernetes, focusing on operators and integrations while collaborating in a distributed team.

Lead and manage a team of engineers focusing on optimizing Ubuntu for public cloud performance. Ensure quality delivery and foster growth among team members.

As a Senior Software Engineer, you will develop and manage a MongoDB solution on various platforms, ensuring reliability and security while contributing to a small team focused on impactful projects.

The AI Developer will create AI solutions to enhance business processes, collaborate with teams, analyze data, and build reliable ML pipelines.

The Senior Solutions Architect will assist customers with Aiven’s open-source services, focusing on pre-sales and post-sales technical requirements, while also writing technical content and participating in customer interactions.

Responsible for enhancing the development process in game production through automation, testing frameworks, and efficient collaboration with various teams, ensuring quality and reliability in builds.

The Outsourcing Technical Artist will develop and optimize materials and shaders in Unreal Engine while collaborating with art and engineering teams to maintain visual quality and performance.

As a Lead Backend Engineer, you'll manage and enhance Proton's marketing technology systems, integrating tools and supporting campaigns while ensuring security and privacy standards.

As a Fullstack Engineer at Proton, you will design, build, and operate systems related to mail delivery and security, collaborating on user-facing features and leading development processes.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.