Top Python Jobs in London

The Senior Flood Modeller will develop and check hydraulic models, mentor junior staff, manage client relationships, and deliver flood risk assessments and alleviation schemes.

Lead flood forecasting projects and non-real-time modelling while mentoring team members and maintaining client relationships. Deliver technical reports and project management.

Lead and deliver flood forecasting projects, manage modelling activities, mentor team members, and ensure high-quality technical outputs.

Lead flood forecasting projects, develop and calibrate models, review technical reports, mentor team members, and build client relationships.

Lead a team of Forward Deployed Data Scientists to drive AI adoption and data-driven solutions for strategic customers, enhancing support operations.

The role involves developing applications using C# and Angular for various business areas, focusing on strong ownership and communication in a dynamic team.

The Platform Engineer will manage trading and research environments, focusing on reliability and efficiency while collaborating with cross-functional teams to improve operational practices.

As a Lead Data Engineer, you will design and develop software for data processing, lead a team, ensure quality, and manage technical proposals.

The Senior Data Analyst will drive insights from data, optimize data architecture, enhance reporting tools, and monitor performance to influence growth. They will collaborate with global teams and need strong analytical skills, particularly in SQL and Python.

As an Optimisation Manager, lead strategies in flexibility markets, develop monetisation strategies for customer devices, and collaborate with teams to simplify market participation and enhance energy systems.

The Analytics Manager will drive media measurement solutions for leading advertisers, providing insights and collaborating on campaign performance improvements.

As a Senior Backend Engineer, you will develop and launch innovative energy solutions, ensuring customer satisfaction while promoting green energy initiatives. You will collaborate with various teams and take ownership of backend systems using Python and Django in a cloud environment.

The Senior Client Success Director leads strategic client relationships, driving account growth and retention through advanced analytics and effective project delivery while managing a high-performing client success team.

Oversee the build and maintenance of data centres, coordinate installations, ensure standards compliance, design solutions for observability, and automate workflows.

The role involves managing workstations and servers, installing systems, performing hardware maintenance, and handling operational tasks in trading environments.

Build and manage multiple datasets, create automated ETL pipelines, integrate datasets, and ensure data quality for QRT's research and trading platform.

You will design and implement low-latency trading systems, optimize system performance, and ensure reliability at scale within the Core Trading Platform team.

Lead research on large language model post-training, developing innovative strategies and architectures for conversational AI, and integrating research into production.

Lead the design and delivery of digital services for the UK Public sector, focus on technical architecture, governance, and stakeholder engagement.

Seeking a QA Engineer for a contract role focused on data quality and test automation for complex data pipelines and cloud platforms. Responsibilities include designing automated frameworks, executing data tests, and collaborating with teams to ensure data assurance.

The Test Engineer will develop automation frameworks, manage testing activities, ensure quality assurance, and collaborate with teams on client projects.

The Quantitative Researcher will design trading models, apply statistical techniques for signals, and work on trading strategies and market analysis.

Lead the development of the NODE platform for secure crypto trading, manage product lifecycle, and collaborate with cross-functional teams.

The Senior Applied Data Scientist will lead complex data science projects, apply various techniques to solve business problems, work with large datasets, and communicate insights effectively.

Develop and maintain proprietary trading software, manage system operations, troubleshoot issues, and design a real-time trading platform.