Top Python Jobs in London

The Senior Python Engineer will design, develop, and maintain scalable Python applications for cloud solutions in the aviation industry, collaborating with teams on AI-powered systems and optimizing performance.

Lead and inspire engineering teams to develop AI-powered solutions, ensuring security, product excellence, and fostering a culture of collaboration.

The Cheminformatics Engineer will develop AI methods and software solutions to enhance drug design productivity, collaborating across teams and managing the software lifecycle.

The Immunoinformatics Engineer will develop AI methods for drug discovery, collaborate with teams, and manage software lifecycle while staying updated on relevant scientific advancements.

The Staff Software Engineer will design and implement solutions for data processing in autonomous driving, collaborate with ML engineers, and mentor team members, focusing on data diversity and technical excellence.

The Machine Learning Engineer will develop AI-driven features, deploy scalable systems, and enhance reliability while collaborating with teams to integrate AI solutions.

The AI Data Engineer designs and builds scalable data pipelines, integrates AI services, and ensures data readiness for advanced analytics across Convatec's Azure ecosystem, collaborating with AI Engineers and Data Scientists.

As a Technical Account Manager at VulnCheck, you'll guide customers through adoption and integration of solutions, ensuring ongoing success and value. You'll manage technical post-sales relationships, provide consulting for integrations, and advocate for customer needs within the company.

Build and enhance trading systems and tools, focusing on performance and reliability. Collaborate with teams to deliver web applications and improve developer workflows, ensuring high reliability.

The Business Intelligence Analyst will analyze data to assess performance, conduct market research, create dashboards, and translate data insights into actionable recommendations.

The AI & ML Engineer will oversee the entire AI/ML lifecycle, collaborating with stakeholders to develop and implement scalable, efficient solutions while ensuring the security and robustness of ML systems.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

The Lead AI & ML Engineer will lead the AI & ML Engineering team, managing solutions from ideation to deployment, mentoring team members, and ensuring robust, scalable AI/ML delivery across Charlotte Tilbury.

Lead the integration of Luminance with third-party systems, manage a technical team, and ensure seamless client implementations through effective architecture and documentation.

The Senior Customer Solutions Engineer will enhance customer integration with AI solutions by collaborating with sales, providing technical expertise, and supporting seamless workflow implementations.

The Client Solutions Engineer assists clients in integrating with Luminance's AI platform, developing resources, and ensuring a seamless customer experience.

As a Senior Data Scientist, you will drive insights and strategy for product teams, contributing to goals, conducting analysis, and supporting product experiments to enhance business outcomes.

Lead Product Engineer responsible for technical leadership, product development, cloud architecture, AI integration, prototyping, and problem-solving in a data engineering context.

The Software Engineer will develop AI-based capabilities, maintain software stacks, mentor others, and tackle engineering challenges across various technical fields.

As a Principal Software Engineer, you'll design and develop scalable AI solutions, collaborate with data scientists, and uphold high coding standards.

The Senior Product Owner at BMLL will manage product backlog, translate client needs into requirements, collaborate with various teams, and define product metrics.

Lead the design and development of AdTech solutions to enhance advertising efficacy, client satisfaction, and operational efficiency, collaborating across teams.

As a Quantitative Analyst, you'll analyze portfolio behaviors, develop tooling with engineers, and perform rigorous data analysis to improve efficiencies in trading patterns and deliver insights to stakeholders.

Develop and maintain data platforms for quantitative finance, focusing on performance, reliability, and scalability while collaborating with researchers and engineering teams.

As a Senior Technical Support Engineer, you'll ensure excellent customer support by diagnosing complex issues, collaborating with Engineering, and streamlining processes.