Top Python Jobs in London

Lead the design and operation of CUBE's data platform, build and mentor engineering teams, and ensure data governance while optimizing performance.

Lead the transformation of LSEG's global network into a programmable and resilient platform by defining the strategy for network automation, managing a team, and driving platform architecture and governance.

As a Senior Data Scientist, you will lead technical initiatives in AI-driven solutions, mentor junior team members, and collaborate with simulation engineers to solve complex engineering challenges.

Join the team as a Senior Data Scientist to shape data products for health research by collaborating with cross-functional teams and utilizing advanced data science methods.

This role involves delivering digital analytics projects, implementing tracking solutions, and developing dashboards while collaborating with a consulting team to meet client objectives.

The Head of Research and Development for AI Safety will lead a research team focused on AI safety, drive the research agenda, manage publications, and influence AI safety strategies with industry impact.

Design and deploy data science solutions using machine learning techniques to help defence clients solve high-impact problems. Work collaboratively and communicate technical concepts effectively.

Lead development and deployment of AI systems, design scalable ML software, mentor junior engineers, and collaborate with teams to solve client challenges.

Develop and enhance systems across the business, work on applications, system integrations, and collaborate with various teams to meet requirements.

The Senior Machine Learning Engineer will design and optimize data pipelines for autonomous driving research, ensuring high-quality datasets are used for model training and evaluation.

The Energy Analyst will enhance data systems for market data utilization, collaborating with engineers to improve data handling and quality assurance processes, driven by a passion for clean energy.

As a Market Operations Analyst, you will monitor live trading environments, analyze market data, and collaborate with tech teams to optimize trading operations.

The Consumer Analyst will analyze and report on consumer revenue streams, focusing on data-driven insights to optimize subscription strategies and performance across various markets.

As the first QA Engineer, you'll shape the QA function at Lawhive, improve testing infrastructure, and ensure high software quality, especially for AI applications.

The Senior Applied AI Engineer will develop scalable AI features, improve application reliability in production, and collaborate with teams for deployment of AI-driven services.

The CFD Engineer will conduct analyses on wind microclimates, pollution dispersal, HVAC performance, and more, using advanced CFD techniques for infrastructure projects.

As a Solutions Architect, you'll guide startups in adopting Claude AI, translate technical needs into solutions, and foster customer relationships while leveraging technical expertise.

Lead the development and maintenance of large-scale AI infrastructure systems, ensuring reliability and scalability while mentoring team members and collaborating with stakeholders.

The Infrastructure Support Engineer provides technical support in a mixed environment, focusing on desktop and network setups while learning automation skills, particularly in Python.

The Sr. Business Intelligence Analyst will enhance marketing analytics, influence investment decisions, collaborate across teams, and provide insights to drive marketing strategies and optimizations.

Manage and support a team of DevOps engineers, ensuring CI/CD system availability and enhancing developer productivity through collaboration and process improvement.

Internship focused on quantitative research, analyzing large datasets, building models, and creating trading strategies with collaboration and education.

Software Engineers at Jane Street design and build systems using OCaml and Python, focused on functional programming for various teams.

Quantitative Researchers build models and strategies for pricing and trading financial instruments, working collaboratively with teams on data analysis and model implementation.

Provide hands-on support for network issues, enhance workflows, focus on automation, and integrate AI in network operations.