Top Python Jobs in London

Develop and enhance low latency market data systems using high-performance C++ in a collaborative team environment, contributing to architecture and project leadership.

As a Software Engineer in Data and Lifecycle, you'll design and implement solutions for trade automations, maintain reference data, and collaborate with stakeholders.

Seeking a Software Engineer for the Data and Lifecycle team to automate trade processes, maintain reference data, and collaborate with stakeholders on derivatives.

Provide advanced post-sales support for Blue Planet products, resolving technical issues, developing automation, and collaborating with teams for product improvement.

The role involves managing data quality for portfolio risk analytics, troubleshooting data issues, and collaborating with teams to enhance data processes. It requires strong analytical skills and experience in financial data, risk models, and technical proficiency in relevant programming languages.

The Solution Architect will lead design and delivery of digital services for the UK Public sector, engage with stakeholders, and ensure best practices in technology.

The Senior Data Scientist will collaborate with product teams, develop metrics, design data pipelines, and influence product strategy through data analysis at Intercom.

As a Senior Data Scientist at Intercom, you'll analyze data to drive decisions, support product teams, build data pipelines, and influence product strategy using AI tools.

The FRG Associate conducts bottom-up fundamental research, collaborates with investment professionals, and generates insightful analysis to support investment decisions.

Develop and maintain features for a notification platform, upgrade applications, enhance monitoring, and support migration for a public sector client.

The Software Engineer III (Backend) develops complex software solutions, leads projects, collaborates with teams and creates technical documentation while adhering to best practices.

The Data Centre Engineer will manage data centre operations including design, installation, and maintenance of equipment while ensuring data safety and accessibility.

The role involves developing and supporting applications for commodities trading, enhancing integrations, maintaining data pipelines, and collaborating with various teams for effective solution delivery.

The Software Engineer will build customer-facing products for healthcare, focusing on full-stack feature development and user experience, while engaging with customers and iterating on the product based on feedback.

Lead fraud monitoring and detection efforts, develop prevention strategies, analyze data to identify loss drivers, and mentor junior team members.

Build and own backend platform systems around AI models: design APIs, data models and schemas, implement integrations and data pipelines, create internal libraries/tooling, and drive features end-to-end from design to production while collaborating with engineers and AI specialists.

Build and own full-stack platform systems around AI models: design APIs, database schemas, frontend components, shared libraries, connectors, and data pipelines. Collaborate with design and AI teams, drive features end-to-end from design to production, and shape technical direction and engineering practices.

Implement and manage photorealistic lighting, shading, and scene assembly for high-end VFX shots. Integrate assets from multiple departments, optimize shading and render setups, collaborate with CG Supervisors and Compositors, reproduce real-world lighting, render required passes, and meet production schedules while troubleshooting pipeline and asset issues.

Lead the development of strategic quantitative initiatives to enhance trading efficiency, models, and data infrastructure across equity derivatives markets.

Build and maintain scalable, secure data pipelines, warehouses, and streaming systems. Collaborate with engineering, data science, analytics, and product teams to translate requirements, optimise architectures, and deliver the data platform. Mentor peers, promote best practices (CI/CD, testing, observability, IaC), and contribute to the data engineering roadmap.

Handle complex, custom client requests by building end-to-end reports, performing quantitative analysis and data mining using SQL/pySpark and Python, developing research tools on Similarweb raw data, and partnering with Engineering and Advisory teams to scale solutions and deliver strategic data products.

Lead canonical data modelling and governance for buy-side data domains, translating logical models into Snowflake-ready schemas, DDL, API contracts and data quality rules. Work with investment, operations and ESG teams to define lineage, golden sources, industry-standard mappings (ISO20022, SWIFT, FINOS CDM), and embed governance while mentoring engineers to ensure implementation fidelity.

As a Data Scientist, you will create and enhance detection models for secure Generative AI adoption, collaborate with teams on data curation, and drive continuous model improvement based on customer feedback.

Lead Creature TD provides creative and technical guidance for creature asset setup and shot work, leads and mentors the creature team, implements rigs and character simulations (cloth, hair, flesh), collaborates across departments, troubleshoots technical/aesthetic issues, assists production staffing and scheduling, and maintains asset and shot quality.

Lead cross-functional engineering teams to design, deliver, and evolve cloud-native, event-driven insurance applications. Own architecture, roadmap, and delivery for policy, claims, underwriting, and compliance systems while ensuring regulatory adherence, vendor management, Agile/DevSecOps practices, and engineering KPIs.