Top Python Jobs in London

As a DevOps Engineer, you'll maintain infrastructure, manage CI/CD pipelines, deploy services in Kubernetes and GCP, and implement automation with Python and shell scripting.

The Engineering Manager will lead a remote team of software engineers, managing projects and processes to deliver value and optimize performance in an agile environment while mentoring team members.

Lead the Hotel Optimization team, design data-driven models, drive revenue opportunities, and automate processes through advanced analytics and programming.

Manage and lead engineering teams to enhance and support remote browser technology, ensuring effective practices and team performance.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

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

Build and optimize Alpaca's algo trading platform, focusing on high-performance brokerage services while leveraging frontend and backend engineering skills.

The Solutions Architect will design blockchain solutions, engage with customers, implement blockchain protocols, and collaborate with teams to deliver optimal solutions.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

Assist in grading writing problems, moderating student discussions, and supporting live classes while honing mentoring skills.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

The Risk Manager will monitor and analyze Tradeify's trading exposure, develop risk policies, collaborate on monitoring tools, conduct stress testing, and communicate insights to leadership.

The Senior Blockchain Engineer will design and implement secure blockchain solutions, develop smart contracts, and collaborate with internal and external teams.

Lead high-scope AI and ML projects, focusing on Generative AI. Collaborate with cross-functional teams to design and implement solutions that enhance patient care.

As a Product Designer, you'll rapidly prototype features for an AI-powered cybersecurity platform, collaborating with product and engineering teams to create intuitive user experiences. You will own UI design and front-end implementation, develop design systems, and impact product quality in a fast-paced environment.

As an Engineering Manager, lead a team of engineers, coaching their development while ensuring quality results and implementing engineering processes.

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

The Senior Site Reliability / Gitops Engineer will drive automation and collaboration within the IS team, enhancing Canonical's IT operations and services while managing infrastructure as code and cloud technologies.

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 role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

Lead a distributed team of engineers overseeing Linux kernel delivery for Ubuntu, ensuring quality, security, and effective collaborative practices.

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

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.