Top Python Jobs in London

You will own projects spanning months, work end-to-end on a React client application and Python backend, and shape product direction.

The Junior Listed Trader will support trading activities, manage risk, optimize workflows, and analyze market conditions in equity derivatives.

As a Credit Strategy Analyst, you will bridge raw data and credit risk strategy, monitor credit models, and provide insights for lending performance with a focus on innovation and strategy.

Optimize and maintain Azure SQL Server performance, lead root cause analysis, develop self-service capabilities, and design resilient data storage strategies.

The Data Engineer will develop and monitor BAU data pipelines, enhance processes, build new data pipelines, and contribute to the Data Lake technology in an Agile environment.

The Senior Treasury Liquidity Specialist will manage liquidity positions, develop risk management frameworks, and enhance liquidity reporting while collaborating across teams.

The Data Analyst will support Production Finance with data extraction, transformation, and analysis for EMEA, collaborating with various stakeholders to provide insights and improve data quality.

As a Data Manager, you will ensure data governance, support data accessibility, improve workflows, and develop data policies while collaborating with various teams.

The Automation & Integration Engineer will build and operationalize workflows on Azure, integrating APIs and ensuring secure automation across business use cases while collaborating with global teams.

The role involves building AI workflows, integrating AI capabilities, establishing observability, and collaborating with vendors and data teams.

Responsible for co-owning the build service infrastructure, performing maintenance tasks, managing CI/CD systems, and supporting engineers with build issues while ensuring the delivery chain functions smoothly.

The role involves developing impactful research on digital assets, client engagement through insights, and contributing to product development and market analysis.

The Backend Engineer will design and develop scalable data processing platforms, enhance productivity, and collaborate across teams to improve data engineering practices.

Manage monitoring configurations and support tools like DynaTrace. Implement, deploy, and customize monitoring solutions, mentor peers, and troubleshoot incidents.

The AI Semantic Architect will design ontologies, build knowledge graphs, develop semantic queries, ensure data quality, and integrate with enterprise systems. Collaborating with AI teams is a key part of the role.

Lead the design and implementation of AI solutions, ensuring performance and reliability. Oversee AI strategy, integration, evaluation protocols, and deployment pipelines.

As an MLOps Engineer, you will design and maintain AI/ML pipelines, implement CI/CD practices, and manage infrastructure for model deployment and performance monitoring, enhancing collaboration and efficiency in AI initiatives.

As a Backend Engineer for the AI Platform, you will develop and manage the User Profile service, facilitate AI integration, and ensure compliance with health regulations while mentoring teams.

The Senior Manager will oversee deal assessments, financial modeling, and strategic planning in EMEA for TV distribution, supporting sales teams and optimizing processes.

Design and develop libraries, APIs, and services to support the HPC Research Platform, focusing on large-scale compute pipelines and collaboration with quantitative researchers.

As a Senior Data Scientist, you will apply your data science expertise to client projects, manage junior team members, and communicate complex findings effectively.

Lead Levi's digital analytics strategy for web and app, deliver end-to-end insights, design and evaluate A/B and multivariate experiments, build segmentation and predictive models, partner with senior stakeholders, promote data culture, and shape the long-term vision and resourcing for the Digital Analytics team.

Lead advanced analytics and data governance: design data models, own complex analytical projects, define and monitor high-level KPIs, mentor junior analysts, and influence data infrastructure roadmap to support global growth.

Consult with clients to design, build and deploy advanced analytics and ML models across the full modelling lifecycle. Translate business needs into analytical approaches, perform exploratory analysis, develop and test models, and deliver data-driven solutions and visualisations in cross-functional agile teams.

Architect, build, secure, document, test, monitor and maintain APIs to enable internal, customer and third-party integrations; support front-end/back-end developers; optimize performance; provide technical support and participate in code reviews.