Top Python Jobs in London

Design, build, and optimise scalable data pipelines and Lakehouse layers (Bronze/Silver/Gold) in Microsoft Fabric using SQL and PySpark. Integrate ERP/CRM/APIs, ensure data quality/governance, support Power BI semantic models, monitor and troubleshoot pipelines, and collaborate with stakeholders for analytics and reporting.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

Summer internship building and deploying AI-powered automations for FP&A and Accounting: audit workflows, prototype agentic LLM solutions, implement Python automation and orchestration, validate with finance teams, document builds, and present results to leadership.

Build, deploy, and iterate predictive models and real-time scoring pipelines using behavioral and clickstream data to improve lead quality and campaign optimization. Collaborate with marketing, media buying, and analytics teams to translate business needs into hypotheses, perform exploratory analysis, monitor model performance, and communicate statistically rigorous insights to non-technical stakeholders.

The FX Manager will lead FX risk management, pricing strategy, liquidity optimization, and ensure compliance while collaborating across teams to enhance FX operations.

The Senior Data Scientist will design scalable machine learning models, bringing data science solutions to production for improved retail experiences, while collaborating with domain experts.

The Senior Research Engineer will translate ML research into solutions, optimize models for cloud, and deploy foundation models for retail.

The Research Engineer will develop offline contextual bandit and reinforcement learning models for hyper-personalisation in retail, focusing on logged interaction data.

Design and implement real-time web interfaces for retail applications, advocate for user needs, and contribute to system design.

The AI Engineer will develop and implement agentic AI solutions, drive best practices in engineering, and manage complex platform performance and monitoring.

The Full Stack Engineer will design and implement web interfaces and event-driven backend services, integrating AI personalisation into user workflows while managing data across storage layers.

The Machine Learning Engineer will design and build ML infrastructure, collaborate on software development, and optimize ML systems for performance and reliability in cloud environments.

The Computer Vision Engineer will implement algorithms for perception, sensor fusion, and scene understanding in autonomous systems using multimodal sensors.

The Senior Software Engineer at Carbon Re will develop cloud architectures, deploy workloads in customer environments, guide junior developers, and improve existing systems through collaborative practices and CI/CD pipelines.

As a Software Engineer, you'll develop backend services for crypto trading, optimize systems, and collaborate with product teams throughout the development lifecycle.

Develop core components for a new Risk & PnL engine, ensuring performance and reliable operation while collaborating with the Risk Systems team.

The Full Stack Developer will create and manage innovative solutions for commercial teams, focusing on rapid prototyping, project management, and technical integration with existing applications, utilizing Python and React.

Design and develop scalable server-side components, integrate APIs, automate workflows, and collaborate with teams on financial solutions.

The Software Engineer will work closely with AI researchers to develop scalable software integrating AI technologies, manage software lifecycle, and collaborate with cross-functional teams.

The Software Engineer in Product will design and implement user-facing systems for Boltz Lab, focusing on usability and integration of complex machine-learning and molecular modeling features.

As a Software Engineer in Infrastructure, you will design, implement, and maintain backend systems for Boltz Lab, ensuring reliable and scalable molecular modeling workflows.

The MLOps Engineer will optimize, deploy, and operate large-scale machine learning models for Boltz Lab, ensuring efficient and reliable performance across distributed systems while collaborating with ML Researchers.

The Simulation Engineer will develop CFD datasets and architect AI-optimized data pipelines, collaborating with teams in aerospace and automotive to enhance simulation processes and ensure data quality.

The Machine Learning Engineer will design and train deep learning models for physics simulations, focusing on optimization and production integration while collaborating with research and engineering teams.

The role involves designing and developing scalable software components for a Generative Physics platform, integrating AI and simulation tools, leading technical discussions, and mentoring other engineers.