Top Python Jobs in London

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

Join Qube Research & Technologies as a Lead Hardware Management Engineer, responsible for Linux systems administration, performance tuning, and leading research infrastructure projects.

Manage and evolve Linux platforms for global trading, lead automation frameworks, ensure performance, and support build/release management.

Rotate through BI roles over two years to analyze data, build dashboards, support reporting and forecasting, present insights to leadership, and drive operational improvements.

Design, implement, and improve Spark-based data pipelines for Veeva Link's data platform. Own features end-to-end, collaborate with data science to operate ML models, and enhance observability, performance, and precision.

As a Sr. Solutions Architect, you'll develop customer engagement strategies, coach junior architects, and design complex data solutions using Databricks' Lakehouse platform.

The Software Development Manager leads a remote engineering team, drives software delivery, and improves processes for their flagship PMM product.

The Data Scientist will develop and enhance machine learning models for ranking and recommendations, collaborating with Product and Engineering teams while applying statistical reasoning and evaluation methodologies.

The Application Research Scientist will conduct molecular simulations, analyze results, collaborate with interdisciplinary teams, and optimize internal processes to guide drug discovery.

As a Senior Data Scientist, you will optimize MCM performance, define success metrics, influence product roadmap, and present insights to leadership. Your role involves analyzing large-scale data and conducting cross-functional collaborations to drive marketplace success.

The Senior Sales Engineer at Alteryx works closely with customers to understand their complex analytics needs, delivering customized demonstrations and supporting technical validation during the sales process.

As a Database Reliability Engineer at ClickHouse, you will enhance system reliability, manage incident responses, improve performance metrics, and collaborate across teams to ensure optimal customer experiences.

As a Senior Sales Engineer, you'll support enterprise accounts as a technical expert, leading discovery calls, designing solutions, and collaborating with AEs and CXS to ensure successful customer adoption and expansion.

The Senior Technical Account Manager leads Mattermost deployment and integration for enterprise clients, ensuring high reliability and security. They communicate technical concepts, build relationships, and provide guidance on technical challenges, while capturing customer feedback to influence product development.

In this role, you will own and evolve core integration and data systems, design cloud services, manage business-critical data flows, and ensure secure and cost-effective operations.

As a Data Scientist, you will design bespoke data science solutions, drive project feasibility, build client relationships, and lead technical delivery, ensuring high standards in AI applications.

Manage and improve the AWS infrastructure, deploy into new regions, monitor releases, and implement new technologies in a fast-paced environment.

The Senior Site Reliability Engineer will design resilient systems, manage incidents, lead automation efforts, and ensure service reliability in a remote, global setting.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Applied AI Engineers will define and deliver AI systems for business value, collaborating with customers, building real products, and advancing AI tools.

The role involves building a large-scale event streaming platform, mentoring teams, supporting cloud-based technologies, and developing streaming applications using tools like Kafka and Flink.

As a Data Integration Engineer, you will build and support integrations between ERP systems and Prophix, focusing on API integrations, SQL data processing, and troubleshooting integration issues.

The Full Stack Engineer will design, develop, and deliver AI-enabled applications, ensuring strong stakeholder engagement and adherence to SDLC practices while applying UX/CX principles.

The role requires leading the AI & Services engineering team, focusing on technical direction, team growth, and product delivery, with an emphasis on engineering excellence.

The TechOps Engineer supports employees by resolving technical issues, managing devices and security, automating processes, and improving IT operations.