Top Python Jobs in London

As a Senior Backend Engineer, you will design and build resilient backend systems and APIs, own critical data pipelines, and prepare systems for future data growth while focusing on impact and customer outcomes.

Design, build, and operate backend services and APIs with a focus on data pipelines and system reliability within a small engineering team.

As a Data Analyst, you will build and operate the data pipeline, ensuring pipeline quality, automation, and analysis to support customer needs. You will collaborate across teams and use SQL and Python for data handling and automation.

The Palantir Solution Architect will lead teams to design and deliver data solutions, implement designs, collaborate with customers, manage timelines, and mentor staff.

The Junior Site Reliability & Network Engineer will ensure reliability and performance of the trading platform, manage cloud infrastructure, and develop automation tools while collaborating with teams on system enhancements.

As a Lead AI Engineer, you will design and deliver AI solutions using machine learning and cloud technologies, mentor a team, and ensure responsible AI practices.

As a Senior Machine Learning Engineer, you'll own ML systems, design scalable pipelines, ship LLM features, and guide ML adoption. You will mentor engineers and ensure system reliability and observability while engaging in high-impact work.

As an Applied AI Engineer, you'll manage ML model lifecycles, build data pipelines, develop AI features, and collaborate with backend engineers to integrate models into production systems.

As a Staff Machine Learning Engineer, you will architect ML systems, mentor engineers, set technical direction, and drive ML workflows at scale.

The Technical Solutions Engineer II at Diligent involves pre-sales support, solution prototyping using Python, and collaboration with sales and product teams to deliver enterprise GRC solutions.

As a Senior Data Engineer, you'll build and maintain data infrastructures, optimize data warehouses, implement streaming architectures, and collaborate with analysts to ensure data quality and reliability.

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

As a Quant Developer, improve research frameworks, develop tools for trading strategies, and support the quantitative research team on-site.

The Solution Architect will lead design and delivery of digital services for the UK Public sector, engage with stakeholders, and ensure best practices in technology.

As a Senior Data Analyst, you will design and build scalable analytics solutions, manage analytics initiatives, and promote data-driven culture while supporting other analysts.

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

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.

Develop and optimize low-latency options trading systems, collaborate with quants and traders, maintain trading infrastructure, and design resilient trading solutions.

As a Full Stack Commerce Engineer Manager, you'll lead client engagement, design and build AI-powered solutions, manage database frameworks, and mentor teams, with a focus on integrating generative AI into commerce solutions.

The Principal Data Scientist will lead the development of AI solutions, optimize models, and drive project timelines while collaborating with teams to meet business goals.

As a Backend Software Engineer, you'll build core features for an AI-first patent research platform, collaborating with senior engineers.

As a Developer Support Engineer, you'll help developers troubleshoot API and SDK issues, document findings, and improve their experience with Braintrust's tools, while collaborating with engineering teams.

Design and develop solutions for complex challenges in energy management, focusing on domain modeling, data processing, and robust software development.

The role involves building and scaling full-stack applications for document analysis, collaborating with AI engineers, and establishing engineering best practices.

The role requires creating scalable AI solutions, solving complex problems, and ensuring high code quality while working independently in a team environment.