Top Python Jobs in London

The Data Scientist will collaborate with Research and Trading desks to manage index data, build data pipelines, and innovate data extraction methods.

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

Develop scalable cloud-native platforms for real-time tick data. Collaborate with researchers, architect systems, and build distributed data architectures.

Manage and evolve Linux platforms for global trading, lead automation frameworks, ensure performance, and support build/release management.

As an AWS Network Engineer, you will optimize and secure AWS cloud infrastructure, implement security controls, and collaborate with stakeholders to enhance overall security posture.

Interns will design, build, and manage data solutions supporting trading operations, collaborating closely with Traders, Researchers, and Engineers in a high-performance environment.

The Site Reliability Engineer will enhance system reliability and performance by designing, maintaining, and troubleshooting scalable systems while ensuring security and compliance.

Support cross-functional strategic and technology projects across research, AI/LLM initiatives, and internal tooling. Build lightweight data tools and automation, assist coding and workflow optimizations, prepare executive analyses, and coordinate multi-stakeholder initiatives.

Lead the enterprise infrastructure roadmap, design and manage on-prem platforms, drive automation, and mentor engineers across global regions.

Support day-to-day operations of on-prem compute infrastructure, handle diagnostics, troubleshoot Linux systems, and participate in maintenance activities for HPC and Kubernetes environments.

The Growth Manager will enhance brand partnerships by utilizing data-driven strategies for market growth, optimizing revenue, and fostering cross-market collaborations.

Design, develop, and maintain services for Smarkets, implement monitoring, ensure code quality, mentor teammates, and collaborate on projects.

Lead engineering efforts as a Senior Engineer by driving the technical direction, optimizing architecture, and implementing best practices.

The AI Engineer designs and implements AI solutions, transforms business requirements into AI assistants, and ensures integration with existing systems while supporting data processing and monitoring.

The Staff Backend Engineer will work with customers to integrate Foxglove's platform, focusing on end-to-end solutions and iterative development in robotics.

Design, build, and maintain production data pipelines and warehouse/lakehouse architecture. Implement version-controlled transformations (dbt), orchestration, IaC, monitoring, and data quality. Enable secure, auditable data access for analysts and product teams, and define long-term platform strategy while partnering across engineering, analytics, and product.

The Machine Learning Engineer will research algorithms for networking, develop ML infrastructure, maintain documentation, and assist in technical communication.

The System Engineer designs, maintains, and improves IT systems and infrastructure while providing support for AI software installations and collaborating with teams on deployments.

The role involves automating testing for Connected TV applications, maintaining CI pipelines, mentoring juniors, and designing frameworks while collaborating closely with a quality engineering team.

The Machine Learning Engineer III will design and optimize AI systems, utilizing techniques like deep learning and statistical modeling to solve real-world business problems, collaborate globally, and communicate complex data effectively.

Design, build, and deploy end-to-end ML and generative AI solutions (ranking, recommender, chatbots, agentic systems). Handle data engineering, feature engineering, modeling, evaluation, deployment, monitoring, and cross-functional communication to deliver business impact.

The Solutions Engineer at Netskope will work closely with customers to provide technical solutions, manage presentations, and lead customer engagement efforts, while focusing on sales targets and customer satisfaction.

Lead development of a sophisticated editor interface, focusing on performance-critical rendering for multimodal AI datasets while collaborating with a high-performing team.

As the first full-time engineer, you'll transform a prototype into a SaaS by developing backends, designing user interfaces, and implementing security standards.

As a Product Engineer, you will build web applications for the legal tech sector, focusing on AI-driven automation and user experience, collaborating with founders and lawyers to enhance legal workflows.