Top Python Jobs in London

Lead and grow a North America power analytics team delivering fundamental market research, trading desk support, and analytic tools. Define strategy, manage analysts, ensure 24/7 coverage for critical windows, develop supply-demand and price forecasts, track generation fleets and fuel markets, build scalable models and dashboards, partner with trading and data engineering, and present actionable analysis to senior stakeholders.

As a Senior Data Scientist, you will develop and deploy machine-learning models, collaborating with teams to enhance data systems' performance and quality.

As a Machine Learning Scientist at Nucs AI, you will develop innovative ML methods for medical image analysis, collaborate with clinicians, and contribute to clinical validation studies, impacting cancer diagnostics.

Lead forecasting, planning, and performance insights for Kroo Bank, building financial models and partnering with stakeholders in a banking environment.

The role involves developing scalable safety infrastructure, APIs, and monitoring systems while collaborating with ML engineers to integrate AI models into production.

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

As a Software Engineer, you will lead technical projects, improve code structure, and collaborate with teams to scale Deliveroo's systems. You will also participate in hiring and support team members' growth.

Design and deliver enterprise-level data solutions using Azure tools and SQL analytics, focusing on data insights and customer satisfaction.

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

The Technical Product Manager for the QVAC SDK defines and executes the product vision and strategy, manages developer experience, and collaborates with engineering teams to ensure successful delivery of technical products.

Quantitative Researchers build models and strategies for pricing and trading financial instruments, working collaboratively with teams on data analysis and model implementation.

Software Engineers at Jane Street design and build systems using OCaml and Python, focused on functional programming for various teams.

Provide hands-on support for network issues, enhance workflows, focus on automation, and integrate AI in network operations.

The Senior Technical Product Manager will define QVAC SDK's product vision, manage developer workflows, and drive adoption while collaborating with engineering and marketing teams. Responsibilities include translating market needs, prototyping, documenting, and prioritizing SDK features.

The Windows Engineer will manage and optimize the Windows infrastructure, automate deployment processes, and collaborate globally to resolve issues and document outcomes.

The role involves client-facing responsibilities in technical configuration, data extraction, engineering, science, and deployment of analytics solutions, requiring effective communication and project management skills.

The Machine Learning Engineer will design, optimize, and productionize ML models, oversee data management, and collaborate with clients and technical teams to implement AI solutions.

The Software Engineer will develop and ship backend solutions using Python and Django, ensuring high quality and reliability, while collaborating across teams to enhance system performance and design.

The Vessel Performance Engineer will analyze performance and emissions data, enhance analytical models, and support various projects focused on vessel efficiency and compliance.

As a Data Analyst, you will ensure data integrity, improve data pipelines, communicate with stakeholders, and lead root cause analyses while maintaining quality across reference data products.

The Analytics Engineer will manage analytics engineering relationships, develop data models and tools, and apply software engineering practices to optimize data-driven decisions.

The IT Infrastructure Engineer will support and enhance core infrastructure, emphasizing automation through Infrastructure-as-Code, scripting, and collaboration with Managed Service Providers, focusing on system reliability and security.

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.

The Senior Data Engineer will design and implement scalable data pipelines in Azure, collaborate with teams to improve data quality and accessibility, and drive standardization across data practices.

Lead catastrophe modelling and exposure management analysis, partner with teams for pricing and risk selection, support model development, and deliver insights to stakeholders.