Top Python Jobs in London

The Optical Test Engineer will design test plans, build characterization rigs, develop SOPs, and analyze data for non-invasive brain monitoring technology at CoMind.

The Incident Response Consultant collects and analyzes data, identifies root causes of cyber incidents, and reports findings to clients, ensuring effective incident management and fostering strong client relationships.

Lead analytics delivery for high-priority accounts, manage dashboards, execute complex analyses, and mentor team members while enhancing marketing measurement practices.

The Data Engineer will design and architect data systems for real-time workloads, mentor junior engineers, and ensure data reliability and security.

The Senior Software Engineer will innovate payment and billing solutions, manage financial reporting systems, and support team development in an ad-tech environment.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

The Infrastructure Engineer will manage AWS infrastructure, lead customer deployments, ensure production reliability, and shape compliance while engaging with customer architects.

The Quantitative Researcher will enhance discretionary investment strategies through quantitative methods, focusing on signal development, portfolio optimization, and AI tools integration.

The Senior People Data Analyst will lead a data analytics team, ensuring the delivery of high-quality analytical tools and insights while managing stakeholder requirements and maintaining data governance standards.

The Media Systems Engineer will maintain and optimize media systems for audio/video processing, support network infrastructure, and ensure operational compliance.

The HPC Operations Engineer provides operational support for Linux HPC environments, manages problems, collaborates on coding, and oversees maintenance tasks.

The Software Engineer will design and maintain the platform for event-driven microservices, enhancing developer experience and supporting domain teams with robust, reusable microservices.

Support the trading desks by handling queries, performing PnL reconciliation, monitoring pricing and risk, and contributing to process improvements.

Join GoCardless as a Software Development Engineer II to design, build and own web products that enhance customer acquisition and retention. Collaborate with teams to innovate on payment solutions across various technologies.

As a Staff Full Stack Engineer, you will design and build the retail stack using AI, lead system architecture, and mentor engineers.

Lead the internal trading desk, manage $20M+ in liquidity, develop strategies, oversee capital management, and integrate with engineering.

Lead and mentor engineering teams, design and build Python microservices, ensure system resilience and scalability, and improve CI/CD processes.

The role involves developing, testing, and deploying Python microservices, solving complex technical problems, and contributing to architectural decisions. Engineers will work with a product team and ensure code quality through reviews and testing, while continuously learning and improving practices.

The Senior Data Engineer will design, build, and maintain scalable data platforms, optimize performance, and ensure data integration. Responsibilities include developing data pipelines, enhancing data quality, collaborating with stakeholders, and implementing CI/CD best practices.

The Senior Localization Engineer will develop technology for localization workflows, support project managers, optimize processes, and liaise with clients and teams to deliver effective solutions.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

Develop and maintain front-end and back-end components of AI-driven products, collaborating with teams to enhance user experience and build proof of concept products.

The Full-Stack Engineer will enhance backend functionality, collaborate with teams, and maintain platform performance and security, requiring expertise in Python.

The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.