Top Python Jobs in London

The Senior Data Analyst will analyze data, run A/B tests, and provide insights to improve product decisions and user experiences.

The Data Engineer role involves modeling data as an Analytics Engineer, improving data infrastructure, managing data ingestion, and delivering training.

The Senior Data Engineer will develop, maintain, and support data pipelines and artefacts for SCOR's data ecosystem, ensuring high-quality data management and promoting best practices across teams.

The role involves designing and delivering automation, cloud environments, and CI/CD pipelines, mentoring engineers, and supporting improvements in security and practices.

The role involves designing and delivering secure, scalable software, influencing technical direction, mentoring engineers, and solving complex customer problems.

Join an agile team to design and develop secure, scalable software services using modern technologies. Collaborate with customers and improve skills through learning and feedback.

The Senior Data Engineer will design and build an internal data platform, integrate data from multiple systems, and enable non-technical users to access and use data effectively, championing best practices in data engineering.

Design, implement, and optimize a low-latency high-frequency trading platform for cryptocurrency markets; collect market data, disseminate orders, analyze throughput/latency, build performance tools, and develop access to historical data and simulation systems.

Maintain, support, and improve the firm's low-latency Linux trading infrastructure and cloud environments. Automate provisioning, configuration, and monitoring across thousands of servers, manage core services (DHCP, LDAP, DNS, NFS), tune AWS for high-performance trading, participate in cloud design reviews, and provide 24/7 operational support including on-call rotations.

Lead planning and execution of customer deployments, engage users to map workflows and pain points, prioritise high-value problems, design iterative delivery plans, bridge users with product and engineering, and lead technical delivery across interconnected workstreams to ensure safe, effective operational impact.

The Software Engineer will develop software for autonomous systems, collaborate with users to refine features, and build user interfaces. Responsibilities include coding, testing, and interfacing with robotic systems while fostering a culture of excellence.

The role involves designing and building systems for 3D asset generation, optimization, and rendering, while collaborating with various teams to simplify complex technology for users.

Design, build, and deploy production-grade ML models and recommendation systems, champion LLM use, optimise search and ranking, run A/B tests and statistical evaluations, and collaborate with engineering to integrate models into product infrastructure.

Develop, research, and deploy systematic eFX trading strategies across intraday to longer horizons using public and proprietary data. Prototype models quickly, move successful research into production, monitor and analyze live models for improvement, and contribute materially to P&L targets while collaborating with a team and leveraging ML/AI techniques where appropriate.

The Senior Data Engineer will design and build a scalable real-time data backbone, focusing on data pipelines, integration, and collaboration with teams to support analytics and business objectives.

The AI Engineer will design and build full-stack applications, optimize AI interfaces, and collaborate on integrating AI technologies into enterprise solutions.

The Staff Software Engineer will design and implement a modern cloud-native healthcare platform using Elixir, enhancing access control, system reliability, and workflow efficiency.

As a Data Engineer, you'll develop and maintain data pipelines, integrate complex datasets, and ensure data quality for quantitative trading strategies.

The Data Analyst will ensure high-quality financial datasets by defining acceptance criteria, probing data quality, and collaborating with various teams. They will act as a subject-matter expert on data products and maintain a catalogue of datasets.

Build and maintain AI-first product features and internal frameworks for working with LLMs, design reusable architectures and toolchains, develop evaluation systems and benchmarks, experiment with LLM techniques, and take experimental ideas into production while writing high-quality maintainable code.

As a Platform Engineer, you will design and maintain cloud infrastructure, improve internal platforms, and enhance security and observability for product delivery.

The Senior Backend Engineer will design and build scalable systems, mentor junior engineers, identify process efficiencies, and communicate technical challenges effectively.

Manage and mentor Data Scientists in Payment Intelligence, oversee ML models for payment decisions, and guide strategic roadmaps while collaborating across teams.

As a Senior Data Scientist, you will lead the development of algorithms for payment solutions, working with cross-functional teams to enhance fraud prevention and payment success, utilizing advanced machine learning techniques.

Lead delivery of advanced analytics and AI solutions for global clients, design scalable analytics products, industrialise prototypes to production, embed measurement and experimentation, drive adoption across markets, and build analytics capability and thought leadership within the organisation.