Top Python Jobs in London

The Senior Jira Software Engineer manages the Atlassian stack at Canonical, focusing on administration, configuration, automation, and integration responsibilities to improve data-driven decision-making across business operations.

Lead a team in developing Ceph-focused storage solutions, manage global engineers, foster quality and coaching culture, and facilitate technical delivery.

The Engineering Manager for IAM will lead a team developing secure identity and access management services using Go and Python, focusing on distributed systems.

The Junior Software Developer will collaborate on a cloud-native monitoring stack, developing features, debugging, and representing Canonical at events.

Develop and enhance MAAS core components, improve architecture, collaborate across teams, and ensure high standards in documentation and CI practices.

Lead a regional team managing product workloads with a focus on improving devops culture, sound architecture, and quality assurance.

Lead the automation of the Ubuntu Linux kernel build process, ensuring a simplification for client distribution. Engage with other engineering teams and innovate solutions for kernel build challenges.

Join Canonical's OpenStack Engineering team to develop and manage Charmed OpenStack and Ceph, focusing on Python code and infrastructure automation.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

The role involves collaborating with a distributed team to develop and debug software for Linux, focusing on high-quality code and system-level issues.

The Observability Engineering Manager will lead a distributed engineering team, focusing on developing observability tools while ensuring team effectiveness and promoting software delivery excellence.

As a Software Engineer, you'll develop software for Ceph and distributed storage, collaborating with a global team to enhance cloud solutions.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

As a Senior+ Engineer, you will lead the design and architecture of impactful open-source projects while mentoring teams, coding, and engaging with the community.

As a Senior Site Reliability Engineer, you will enhance software delivery tools, maintain observability stacks, and support production environments while mentoring engineering teams.

Lead Software Engineer responsible for back-end development, project ownership, and collaborating with product managers to shape AI-powered video generation solutions.

As a Solutions Engineer, you will enhance technical processes for enterprise clients, collaborate with sales teams, and build self-service resources.

The backend developer will design and implement scalable cloud applications, contribute to code reviews, improve service performance, and ensure data privacy. Experience in Node.js and cloud services is required.

The Senior Data Engineer will enhance backend systems for a social media app by managing databases, optimizing recommendation algorithms, and ensuring accurate recommendations.

The Site Reliability Engineer will design, build, and maintain AWS cloud infrastructure, ensure performance and reliability, automate tasks, and participate in incident management.

As a Lead Product Data Scientist, you'll set the data science direction, lead product experimentation, drive product strategy through metrics, and mentor analysts in a fast-moving environment.

As a Senior React Native Engineer, you will collaborate with cross-functional teams to build innovative mobile features, mentor peers, and ensure high-quality architecture, all while adapting quickly to challenges.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.