Top Python Jobs in London

Run and maintain production infrastructure for Thought Machine's cloud-native core banking and payments SaaS. Automate fleet management, disaster recovery, backups and capacity planning; participate in design reviews, on-call rotations, and reliability-focused feature design. Mentor team members and maintain operational documentation and runbooks.

Design, implement and maintain scalable, performant microservices; write automated tests; collaborate with engineering teams; manage deployments from testing to production; translate customer requirements into tickets.

Build and maintain production-ready infrastructure tooling and automation for deployment, observability, orchestration, backup/disaster recovery, and CI/CD integrations to support scalable, highly available services.

Design, implement and maintain scalable, performant microservices; write automated unit and integration tests; manage deployments from testing to production; collaborate with engineering teams; translate customer requirements into deliverables and tickets.

Lead and manage a team of engineers to deliver the product roadmap; collaborate with Product and Client Services; participate in design reviews; measure team impact; contribute to product strategy and engineering initiatives; perform hands-on coding, code reviews, and support career development and recruitment.

Build end-to-end features across frontend and backend, design scalable secure services, write automated tests, debug to production, translate customer requirements, and collaborate across cross-functional teams.

Lead resolution of high-priority cloud incidents across hosted and self-managed Vault deployments. Mentor junior engineers, build tooling and automation, perform root cause analysis, improve observability and support processes, and act as the technical owner for enterprise relationships to enhance platform stability and client outcomes.

Responsible for platform development and management, collaborating with stakeholders for requirements, and maintaining code quality by mentoring juniors and performing code reviews.

The DevOps Engineer will maintain and optimize trading systems, collaborate on platform improvements, support production, and ensure compliance in trading operations.

The Staff Platform Engineer leads the technical architecture for developer workflows, mentors engineers, and drives cross-team initiatives impacting organizational goals.

As a Senior Software Engineer, you'll improve code architecture, lead projects, and collaborate with teams to enhance productivity and technical execution.

As a Platform Engineer, develop and manage Kubernetes-based cloud infrastructure, enhance CI/CD pipelines, and collaborate with Machine Learning teams to optimize performance and reliability.

Lead design and delivery of cloud-native Data Integration Services: define scalable data access patterns, storage integrations, dataset lifecycle and permissioning, ensure observability and governance, and mentor engineers to drive platform adoption.

As a Senior Data Analyst, you will leverage data to enhance customer engagement, drive business decisions, and lead analytical initiatives across teams.

The Lead Machine Learning Engineer will optimize pricing processes, manage ML model lifecycles, and collaborate with cross-functional teams to enhance predictive modeling capabilities.

Lead development and deployment of AI systems, design scalable ML software, mentor junior engineers, and collaborate with teams to solve client challenges.

The Head of Research and Development for AI Safety will lead a research team focused on AI safety, drive the research agenda, manage publications, and influence AI safety strategies with industry impact.

Design and deploy data science solutions using machine learning techniques to help defence clients solve high-impact problems. Work collaboratively and communicate technical concepts effectively.

Provide technical pre-sales support for mid-market, enterprise, and eCommerce sales: run demos, assist PoCs, author technical RFP/RFI responses, maintain demo/sandbox environments, perform solution research and competitive analysis, gather customer feedback for Product, and collaborate cross-functionally to scale SE processes.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

As a Market Operations Analyst, you will monitor live trading environments, analyze market data, and collaborate with tech teams to optimize trading operations.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.

Lead the development and maintenance of large-scale AI infrastructure systems, ensuring reliability and scalability while mentoring team members and collaborating with stakeholders.

As a Solutions Architect, you'll guide startups in adopting Claude AI, translate technical needs into solutions, and foster customer relationships while leveraging technical expertise.

Design and build reliable, performant data pipelines for large payment datasets. Own end-to-end data flows, drive data quality, implement transformations (dbt), operate on StarRocks and Flink/Spark in cloud (AWS/GCP), collaborate cross-functionally, establish engineering standards, mentor engineers, and shape CI/CD and incident practices.