Top Python Jobs in London

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 the development of data products by analyzing customer needs, improving data structures, and creating actionable insights through collaboration with cross-functional teams.

The role involves designing pricing models for options, developing execution algorithms, and enhancing risk analytics within a high-frequency trading environment.

Own a from-scratch rebuild of Nory's mobile app using React Native and TypeScript, ensuring reliability on low-spec devices and poor connectivity. Set architecture, design system, and migration plan, ship an MVP, integrate AI agents to speed development, and grow the codebase into a platform for cross-functional teams while maintaining high UX and reliability standards.

Lead the recruiting process for Quantitative Engineers, develop strategies to meet hiring goals, and ensure a positive candidate experience while partnering with hiring managers.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

The role involves collaborating with researchers and traders to design datasets, developing data pipelines, and optimizing data extraction processes.

The role involves researching, developing and operating an options platform, writing scalable code, designing components, and collaborating with various stakeholders.

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.

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

The role involves supporting analytics and reporting using SCOR's data platforms, developing dashboards, validating data, and collaborating on reporting requirements.

The role involves developing analytics infrastructure in Python, conducting quantitative research, analyzing trading strategies, and supporting portfolio management and business development initiatives.

Collaborate with traders and researchers to design and build robust data systems for trading analysis in a fast-paced environment.

The role involves leading programming teams in biometry, developing technical solutions, ensuring regulatory compliance, and driving digital transformation in clinical data analysis.

As a Platform Engineer, develop and manage Kubernetes-based cloud infrastructure, enhance CI/CD pipelines, and collaborate with Machine Learning teams to optimize performance and reliability.

Lead and grow a team of ~6 Solutions Engineers across UK, Ireland, Nordics, and Benelux. Drive technical wins in pre-sales, coach SEs, own technical evaluation through close, partner with Sales, Product, and Customer Success, recruit and ramp hires, and use AI and demo engineering to improve productivity and ROI.

The role involves designing clinical development programs, conducting statistical analyses, and ensuring evidence aligns with global strategies for Access and HTA needs.

Design, build, and maintain automated test frameworks for embedded and connected medical devices. Define test plans for firmware, device drivers, APIs, connectivity, OTA updates, and WebUI. Integrate tests into CI/CD pipelines, collaborate with hardware/firmware teams, debug system-level issues, and validate device performance under real-world conditions. Must commute to London office 3–5 days/week.

The Applied Scientist will develop AI systems for autonomous driving, focusing on machine learning, simulation, robotics, and real-world deployment, while advancing embodied AI technologies.

Develop scalable ML systems for driving behaviors, leading RL algorithms, and collaborating on technical projects to enhance Waymo's autonomous technology.

The Senior Software Engineer will develop trading software, collaborate with trading teams, and ensure clean, testable code using agile methodologies.

Perform quantitative analysis using BMLL's product suite and large market-data lakes to support sales/marketing, prototype technical solutions, gather client feedback, and contribute to the product roadmap. Communicate results to technical and non-technical stakeholders, maintain reproducible documentation, and manage complex projects under tight deadlines.

Build and maintain ETL/data pipelines into the Data Lakehouse, develop Power BI dashboards, support AWS infrastructure (S3, Glue, Lambda, Step Functions, LakeFormation), ensure data quality using dbt, write complex SQL and Python for data processing, use Git for version control, document workflows, and collaborate with analysts and data scientists.

The Lead Machine Learning Engineer will direct AI projects, ensure sound architectural decisions, mentor engineers, and drive innovation within the team.

Build, test and ship growth-focused user journeys and subscription funnels across web and app. Design and run experiments, implement instrumentation and tracking, own features end-to-end, collaborate with product/design/data, and improve CI/CD, testing and release workflows to increase conversion and engagement.