Top Python Jobs in London

Build and maintain analytical tools and predictive models (claims, fraud, risk KPIs); engineer rating factors; identify and monetise new data sources; collaborate with actuaries, data engineers and pricing analysts to deploy ML-driven pricing solutions.

Lead development and deployment of predictive models and analytical tools to support pricing, claims and fraud detection. Engineer rating factors, identify and monetise new data sources, and collaborate with Data Engineers, Actuaries and Pricing Analysts to deliver production-grade ML solutions that improve business performance.

Lead the Runtime Engineering team, driving the development of real-time voice interaction systems, managing team operations, and overseeing software architecture for scalability and reliability.

The Mid/Senior Full Stack Engineer will lead teams to develop conversational AI platforms, manage architecture, and implement software engineering standards while coordinating with product management to deliver features.

As a Technical Support Engineer, you will provide Level 2 support, troubleshoot F5 products, communicate with customers, and collaborate with engineering teams.

As a Senior Applied Scientist, you'll lead the development of statistical methodologies and an experimentation platform, collaborate with teams for analysis, and educate others on experimentation best practices.

The role involves designing, building, and deploying ML systems, supporting stakeholders, and operationalizing AI applications in Defence.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

The Procedural 2D Supervisor oversees the creation of procedural systems for CGI, collaborating with Python developers and managing technical workflows, color preservation, and continuity.

Responsible for company-wide analytics, managing data accuracy, collaborating with product and engineering teams, and delivering actionable insights.

The role involves developing, fine-tuning, and optimizing large language models, building ML infrastructure, and implementing CI/CD practices for AI/ML systems.

The Senior Data Engineer will develop scalable data solutions, build data pipelines, optimize performance for data lakes, and ensure data quality.

As a Sector Analyst for European Equities, you will analyze alternative data, produce research, and support investment professionals in their decision-making processes.

Manage and operate customer MongoDB deployments: troubleshoot availability and performance, perform capacity planning, backups and recovery, implement security best practices, tune performance, deliver proactive improvements, collaborate with SRE/platform teams to build automation and monitoring, and participate in on-call follow-the-sun support and scheduled shifts.

As a Senior Analytics Engineer, you will model pricing data, build analytics tools, and enhance pricing strategies through data insights.

The Senior Software Engineer, Web will design and maintain high-performance web software, implement tests, mentor others, and ensure system reliability in a flexible hybrid environment.

Join Capi as a Data Analyst to shape data initiatives, build analytics for decision-making, and enhance data accessibility in a fintech setting.

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

As a Senior Analyst, you will provide advanced workforce planning, conduct productivity analysis, and deliver strategic insights for operational efficiency in a leading insurance organization.

The Deployment Engineer will support software deployment across customer environments, enhance deployment automation, and assist with operational processes, focusing on cloud and on-premise platforms.

As a Data Engineer, you will develop and maintain ETL pipelines, manage data infrastructure, and support data-related projects to drive business insights.

The Application Engineer provides technical support for real-time products, assists customers with configurations, offers training, and collaborates with R&D to improve products.

The Senior Revenue Accountant drives revenue recognition strategies, ensuring compliance with IFRS 15, performing financial reporting, data analytics, and collaborating across teams to optimize revenue processes in a SaaS environment.

This role involves collaborating with sales and partners to leverage Snowflake's technology, solving complex data challenges, and presenting solutions to varied audiences. You will also support customers through all phases of the sales cycle, enhancing their understanding of data architecture and analytics.

The role involves collaborating with sales teams to solve complex customer data challenges using Snowflake technology, presenting to various audiences, and developing technical strategies for customer success.