Top Python Jobs in London

The Risk Manager will oversee gas and power trading risks, develop risk management frameworks, and mentor quantitative analysts while ensuring efficient risk-taking and capital allocation.

The Lead/Senior Software Engineer will develop customer-facing products, mentor team members, and ensure code quality while collaborating with others.

The Senior Data Analyst will lead marketing analytics, drive insights into user acquisition, define metrics, conduct A/B testing, and collaborate with Product and Engineering teams to inform strategy.

As a Quant Developer, you will enhance the research framework and support quantitative research teams, optimizing trading tools and systems.

As a Lead/Senior Software Engineer, you'll enhance sitter experiences at Rover, focusing on building user-friendly tools for pet care management with agile methodologies.

The Data Scientist will enhance investment decision-making through data sourcing, onboarding, and transformation, while collaborating with traders and analysts to deliver actionable insights and manage data project lifecycles.

The Senior Engineer will support and maintain hybrid cloud infrastructure, focusing on automation, operational efficiency, and collaboration with product engineering teams to enhance online ticketing services for events and tournaments.

The Senior Site Reliability Engineer will lead architectural changes, manage Kubernetes platforms, troubleshoot production issues, automate infrastructure, mentor engineers, and enhance AWS services.

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

The Elastic Platform Engineer will manage and evolve the Elastic SIEM and Tines infrastructure, ensuring its stability and security while mentoring junior engineers. Responsibilities include planning upgrades and collaborating on security operations.

As a Software Engineer on the Applied ML team, you will design and implement solutions for customers, utilizing AI and ML technologies throughout the product lifecycle.

The Senior Data Engineer will enhance Apron's data platform by ensuring its reliability, scalability, and security while overseeing data governance and implementing self-serve data tools for teams.

Build and operate Kubernetes clusters, optimize infrastructure for AI workloads, and collaborate with researchers to enhance model training systems.

The Machine Learning Engineer will optimize large scale training jobs on GPU clusters, implement efficiency improvements, and collaborate with research teams for enhanced model training performance.

Cohere is looking for a Research Intern to conduct machine learning research, focusing on large language models and associated areas, while disseminating findings through publications and practical applications in product development.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

As a Research Intern, you'll work with machine learning experts to apply statistical methods to real-world finance problems, develop models, and implement software solutions.

The Senior DevOps Engineer will automate and manage AWS cloud infrastructure, deploy Kubernetes applications, and implement CI/CD pipelines while ensuring security and compliance.

The role involves designing, developing, and maintaining secure and scalable APIs, ensuring high performance and integrating various services, utilizing Agile methodologies.

The Senior Game Analyst will analyze game data to drive decisions, build statistical models, forecast game performance, and collaborate with game and marketing teams.

The Data Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

Design, implement, and maintain data solutions on the cloud; serve as a data expert, enhance data pipelines, and present complex data visually.

Lead the development and global rollout of a trading model research framework, integrating it with the production platform, alongside developing tools for system trading strategies.

The Senior Customer Success Engineer supports customers with product adoption, resolves technical challenges, and builds relationships, ensuring effective use of Veracode solutions.