Top Python Jobs in London

The Revenue Operations Analyst will manage revenue analytics for publisher accounts, create reports, identify growth opportunities, and collaborate with teams to optimize monetization strategies.

As a Senior Python Backend Engineer at VidRush, you'll build AI-driven video production systems, ship production-level ML/LLM services, and work closely with product teams while ensuring high autonomy and delivery speed.

The Technical Account Manager supports customers by troubleshooting integration issues, collaborating with teams, creating documentation, and ensuring smooth onboarding of clients.

The Data Solution Architect will lead multiple teams to design and deliver data solutions, manage employee performance, and contribute to technical design and pre-sales processes.

As a Senior Data Scientist, you'll develop AI solutions with machine learning, mentor others, and ensure responsible AI practices while collaborating with clients to solve business challenges.

Contract QA Engineer to build and own QA strategy for a fast-moving AI product: design scalable QA processes, drive automation (integration, E2E, regression) across Django and NextJS, apply AI to QA tasks, and collaborate with engineers to enable safe, higher-cadence production shipping.

Build and maintain scalable cloud-based data management and processing systems for biomedical research. Own platform components end-to-end, drive architecture and standards, improve CI/CD, observability, security, performance, mentor engineers, and participate in on-call incident response.

Build and maintain scalable, reliable agentic AI systems for biomedical research, integrating LLMs, tool-calling, and data platforms. Drive technical decisions, optimize analytical workflows, deploy agents on the data platform, mentor teammates, and participate in on-call rotation to ensure performance, security, and continuous improvement.

Lead development of an autonomous agentic AI scientist for drug discovery: architect multi-step reasoning agents, bridge AI and wet-lab experiment design, prototype to productionize agentic systems, publish research, and collaborate with biological experts.

As a Senior Software Engineer, you'll build products, deliver continuous changes, mentor teams, architect scalable systems, and promote best practices.

The Senior Operations Reliability Engineer will manage operational reliability and health of enterprise platforms, improve automation workflows, conduct incident management, and mentor junior engineers while ensuring compliance and governance for SaaS tools.

Join Canonical as a graduate software engineer to write high-quality code across the open source stack, work on Linux system-level and application projects, engage with communities, respond to customer issues, and develop security-aware software while collaborating remotely and attending biannual in-person team sprints.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

Lead SRE initiatives to ensure reliability, scalability, and performance of ClickHouse Cloud. Design SLOs/SLAs, build monitoring/alerting, run incident response and post-mortems, drive chaos engineering, improve automation, manage on-call processes, and develop platform tooling to optimize cloud operations.

Deliver and migrate production ML data pipelines from Databricks to an AWS SageMaker MLOps platform. Build feature engineering pipelines and feature store integrations, ensure parity/testing with Databricks outputs, manage storage/permissions/IAM, deploy via CI/CD and IaC, document runbooks, and collaborate with engineering, AWS ProServe, and client teams in a regulated iGaming environment.

The Client Financing Strategist role involves developing pricing models, trading applications in Python/Scala, and improving risk analytics while leveraging GenAI technologies.

Lead and mentor an engineering team to build secure, production-ready open source libraries. Define technical direction across language ecosystems, dependency and release management, and AI-driven automation. Own comparator gates, LLM-based judge rubrics, and language-specific build systems. Improve build/test infrastructure for reproducible, auditable releases with vulnerability detection, patching, SBOM and provenance. Partner across product and engineering, and represent Chainguard externally to partners and maintainers.

Design, build, and operate enterprise-grade AI agents and agentic workflows. Integrate multi-provider AI platforms, implement orchestration, retrieval/RAG, observability, and IaC. Partner with clients to define use cases, run POCs, deploy scalable cloud-native systems, measure agent performance, and craft reusable patterns and documentation.

Lead and grow engineering teams building a broker platform. Drive technical strategy, deliver microservice-based features, advocate Agile/Lean practices, recruit talent, measure team impact, and collaborate with senior stakeholders and CTO on architecture and infrastructure.

Design, build, and deploy production generative AI and agentic automation across business teams. Architect multi-agent workflows, integrate with enterprise systems, implement safety guardrails, measure business KPIs, and lead build-vs-buy POCs to scale GenAI solutions.

Customer-embedded principal software engineer driving production-grade solutions for strategic accounts. Translate business needs into technical designs, build and deploy end-to-end systems, influence senior stakeholders, and transition work to FDE crews. Operate in ambiguous, fast-paced environments with strong ownership, industry context, and an entrepreneurial mindset to deliver measurable business outcomes.

Evaluate AI-generated coding interactions end-to-end, judging usefulness, high-level correctness, engineering judgment, and quality of explanations. Provide clear, opinionated feedback, distinguish response quality levels, and help define best practices for AI-assisted developer workflows.

Lead quality strategy and automation for Global's consumer-facing products. Own release quality gates, lead and mentor QA engineers, drive CI/CD-integrated automated test suites, improve test architecture and performance, and partner with engineering and product to ensure high-quality releases across web and mobile platforms.

Lead product strategy and roadmap for Equity and Multi‑Asset indices and an in‑house AI tool. Gather user feedback, prioritise features, work with research developers to ship, run market analysis, engage clients, and partner with Sales and Marketing to drive positioning and revenue.

PhD graduate embedded in a quantitative research team to develop, implement and test systematic investment strategies. Analyse large financial datasets, design statistical models in Python, document results, and present findings to senior researchers and portfolio managers.