Top Python Jobs in London

The Principal Risk Operations Analyst will optimize risk processes through data analysis and process improvement, guiding the team in decision-making and innovative solution implementation.

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

As a Senior Data Engineer, you will build and optimize data pipelines, manage AWS data infrastructure, and ensure data quality while collaborating with teams to translate business needs into reliable data solutions.

Designs and implements cloud-native AI hardware infrastructure and scalable software-defined networks; operates multi-cloud Kubernetes clusters and zero-trust networks.

Designs and builds low-level programming interfaces, develops multi-layered runtimes, and integrates with deep learning frameworks.

Develop and optimize AI models in PyTorch for NPU architecture, analyze existing frameworks, and collaborate with the compiler team to enhance performance.

The Platform Engineer designs and develops microservices and SDKs for cloud-native applications on Kubernetes, enhances productivity tools, and manages ML software lifecycles.

The Solution Architect will enable and optimize AI applications on FuriosaAI NPUs, troubleshoot technical issues, and train customers on products.

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 Tech Lead oversees technical execution while mentoring engineers and aligning delivery with business objectives in trading systems.

The Senior Enterprise Architect leads the design and implementation of network and cloud architectures, ensuring alignment with organizational goals and industry practices. Responsibilities include defining architecture frameworks, advising on cloud adoption, ensuring security compliance, and managing cross-functional teams.

The Senior Implementation Consultant ensures client relationships are developed and maintained, manages project delivery from inception to go live, gathers requirements, configures the product, and works collaboratively with both business and technical teams.

As a Senior Software Engineer at Encord, you will build scalable backend systems for managing large datasets, ensuring performance and reliability.

The Head of Data will shape the data strategy, lead a team in implementing data solutions, and ensure compliance with data governance while driving a culture of data literacy.

As a Manager in Marketing Mix Modelling, you will lead analytics projects, manage client relationships, and provide actionable insights for marketing strategies while navigating complex data.

The Senior Analytics Engineer will enhance and maintain data pipelines and dashboards, lead analytics projects, and mentor junior staff using Python, dbt, and Snowflake.

As a Quantitative Researcher, you'll implement crypto market-making strategies, analyze market dynamics, and design tools for monitoring and execution.

Lead the development of the cQuant platform by designing and implementing complex features, mentoring developers, and optimizing performance across full stack applications.

Contribute to and optimize Hyperlane’s core protocol and security models for cross-chain functionality. Collaborate on Interchain Applications and support developers building on the platform.

The Engineering Manager will lead a team of DevOps and InfoSec engineers, overseeing infrastructure design, implementation, and operations while ensuring security and scalability.

Waymo seeks a summer intern to contribute to projects, implement research ideas, and run training and evaluation experiments in autonomous driving technology.

As a Software Development Intern, you will assist in building low latency applications and trading tools, impacting DV's operations while gaining technical skills.

As a RevOps Data Engineer, you will build and maintain revenue data models, integrate various data sources, and create metrics that drive business decisions across teams.

As a Product Control Associate, you will perform daily P&L production, conduct funding analysis, build automated solutions, and enhance the control environment in finance across multiple asset classes while ensuring compliance and integrity in operations.

The Senior MLOps Engineer will ensure machine learning models run reliably in production, focusing on integration, monitoring, and supporting data scientists.