Top Python Jobs in London

Develop and implement reliability features, improve system performance, provide L2 support, and create automation tools for operational stability.

As a Lab Informatics Engineer, you'll implement and optimize lab informatics systems, partner with scientists to create digital solutions, and enhance data interoperability.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

Contract AI Engineer to build an enterprise AI capability: design agentic workflows and Copilot extensions across Microsoft 365 and Salesforce, build production-ready agent solutions (connectors, monitoring, cost controls), translate sales methodology into real-time coaching and CRM insights, and collaborate with GTM leadership to drive behaviour change. Hybrid role in London for 4-6 months (3-4 days/week).

The Platform Engineer will develop internal platform capabilities to enhance engineering team efficiency while ensuring security, reliability, and operational control, focusing on automation and user experience.

Design and develop Java and Python applications, lead projects, and mentor junior developers. Ensure robust application testing and support production issues.

Lead design and maintenance of learner-centric investment education content across CFA Institute products. Translate real-world investment practice into study materials, collaborate with SMEs and cross-functional teams, manage external authors and review cycles, and ensure curriculum alignment, accuracy, accessibility and timely delivery.

Responsible for leading quality assurance across underwriting lines, improving testing strategies with automation, and mentoring QA teams to enhance delivery quality and efficiency.

The role involves building and scaling full-stack applications for document analysis, collaborating with AI engineers, and establishing engineering best practices.

You will design, build and refine AI systems for legal applications, focusing on LLM agents and data evaluation frameworks.

Lead design, development and operation of large-scale observability systems. Scale Prometheus, Elasticsearch, Kafka and logging pipelines; build alerting, self-service monitoring APIs; collaborate across teams, join on-call rotation, and contribute to internal practice leadership and client-facing materials.

Execute and develop proprietary power trading strategies for Spanish and Nordic desks. Support portfolio optimisation, maintain trading tools, collaborate with analysts on hydro optimisation, ensure accurate P&L controls, and assist with risk-managed trade execution and desk projects.

The role involves converting Python research models into C++ for high-performance trading systems, backtesting, and collaborating with research teams to enhance trading strategies.

Role involves monetising alpha through execution strategies in futures markets, developing execution logic, collaborating on research, and monitoring strategies' performance.

Serve as the bridge between research, product, and engineering to translate financial models into production; integrate advanced financial modeling into the platform; lead development of an automated data extraction and analysis tool; own product development lifecycle; collaborate across teams and produce clear, actionable analytical reports for stakeholders.

The Senior Data Platform Engineer will lead the development of scalable Snowflake services, automation, CI/CD pipeline design, and security controls to optimize data-driven healthcare projects.

The Principal Software Engineer will lead the development of containerized AI agents, guide architectural decisions, and enhance the cagent open-source project while mentoring team members.

The Infrastructure Specialist will support, maintain, and enhance core infrastructure, ensuring systems' reliability and optimal performance, resolving complex technical issues, and collaborating on IT initiatives.

The Data Engineer will analyze, clean, and manage various datasets to assist traders at Jane Street, automating ETL processes and ensuring data quality.

Software Engineers at Jane Street engage in collaborative technology-driven work, using functional programming with OCaml and Python for various business problems.

Join a Machine Learning team to build deep learning models for trading strategies, collaborating with researchers and traders in a dynamic environment.

As a Quant Developer, you will enhance the research framework and support quantitative research teams, optimizing trading tools and systems.

As a Quant Developer, improve research frameworks, develop tools for trading strategies, and support the quantitative research team on-site.

Design, build, and deploy machine learning models to detect fraud, prevent losses, and monitor risk. Work with Product, Engineering, and Operations to turn large-scale data into production-ready pipelines and model-serving solutions, monitor performance, and continuously improve model accuracy and business impact.

As a Full-Stack Engineer, you'll collaborate with the engineering team to design and launch products across the entire stack, from front-end to back-end and infrastructure.