Top Python Jobs in London

The Director of Valuation Services manages client relationships, oversees valuation projects, mentors staff, and provides analytical insights for strategic decisions.

The Site Reliability Engineer will oversee the Digital Realty interconnection fabric network infrastructure, focusing on network operations, automation, and development. Responsibilities include maintaining global network infrastructure, responding to alerts, and working with various cloud platforms and automation tools.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

The Senior Application Developer will create applications on D-Wave's quantum computers, collaborate with stakeholders, and solve complex problems using algorithms in Python.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The Fullstack Engineer will focus on DevOps, designing infrastructure and deployment pipelines, and collaborating on AI Agent features and cybersecurity solutions.

As a Senior TechOps Solution Specialist, you'll deliver technical solutions and maintain tooling for the TechOps team, automating processes and supporting staff for optimal performance.

The Solutions Engineer partners with Sales and Customer Engineering, guiding customers through database migrations and optimizing solutions. Responsibilities include technical discovery, designing migrations, assessing workloads, creating tools and documentation, and collaborating with teams for customer needs.

Design, implement, and maintain Golang infrastructure services for Confluent Cloud. Ensure availability, performance, and capacity planning of cloud systems while collaborating with engineering teams.

Design and maintain Golang infrastructure services for the Confluent Cloud Platform, ensuring performance, availability, and capacity planning of the service.

The Integration Engineer will design, develop, and maintain integrations for k-ID's services with clients, focusing on seamless implementations and troubleshooting technical issues for EMEA customers.

The L3 SOC Analyst leads complex incident investigations, drives automation, mentors junior analysts, and enhances SOC capabilities using advanced security technologies.

As a Software Engineering Intern, you will build scalable solutions, write production-ready code, and work with interdisciplinary teams.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

The Data Consultant role involves building and contributing to big data solutions, data lakes, ingestion pipelines, and using various storage methods. Key responsibilities include collaborating with a cross-functional team to enhance client data strategies.

The Senior Software Engineer will implement features, collaborate with the developer community, and support product troubleshooting while utilizing expertise in Java, Python, and containerization technologies.

The Market Data Analyst will manage the lifecycle of market data, support trading and development teams, handle vendor relationships, ensure governance, and address data issues impacting trading or research.

The IT Infrastructure Engineer will support day-to-day IT operations, manage macOS devices, assist with cloud environments, and contribute to automation efforts.

The Director of Global Client Finance Data & Platform will lead data architecture and operations, manage data pipelines, and oversee the integration and reporting of financial data, ensuring quality and accessibility for Global Client Finance's strategic analysis.

The Decision Science Manager will oversee governance and analytics in credit risk, develop innovative machine learning models, and support ALM initiatives. Responsibilities include training team members and enhancing risk culture by implementing advanced analytics methodologies.

The Analytics Engineer will develop digital data models from web and app data, support analysis and experimentation, and ensure data integrity for optimized customer experiences.

As a Principal Engineer at M&S, you'll drive technical strategy, influence architecture, and mentor engineers while delivering on personalization, search, and machine learning features in collaboration with cross-functional teams.

The Head of Software Engineering will lead and inspire engineering managers, develop high-quality engineering standards, and ensure successful product delivery and operational support by working with cross-functional teams.