Top Python Jobs in London

The Senior Data Scientist will focus on quantitative analysis, guide A/B tests, and collaborate with teams to enhance user engagement and product profitability.

Design, build, and maintain scalable batch and real-time data pipelines, APIs and streaming systems; manage data warehouses/Lakehouse, ensure data quality, governance and performance; optimise queries and data models; enable AI/LLM readiness and collaborate with stakeholders to deliver analytics and reporting solutions.

Partner with Payments leadership to manage P&L and balance sheet, build business cases, analyse product and market performance, drive commercial projects, forecast and report results, design processes, and mentor financial analysts to support strategic financial decision-making.

As a Data Scientist, you will train, deploy, debug, and evaluate fraud detection models, collaborating with teams to enhance and maintain them.

Lead development and optimisation of telematics-driven pricing models. Use telematics data to influence pricing, manage risk spread, reduce customer prices, collaborate with stakeholders, document governance, and manage a small team of analysts while exploring new modelling techniques and data sources.

As an AI Engineer, you will build and deploy AI models, design APIs, and develop infrastructure for scalable and reliable AI systems. You will work closely with cross-functional teams to operationalize AI models and ensure high performance in production environments.

Work with client-facing teams to analyze large datasets for fraud patterns, present findings to clients, propose solutions, improve ML models and features, optimise graph/network performance, and build Python tools while using cloud infrastructure to enhance analytics.

Design, build, and optimize scalable backend systems and APIs to support AI-driven analytics. Develop efficient data pipelines, handle large structured and unstructured datasets, ensure performance, security, and reliability, collaborate with front-end engineers and data scientists, and own key technical decisions for long-term maintainability.

Lead Property Risk analytics: maintain and back-test risk metrics, analyse mortgage and survey data, deliver bespoke lender analysis, ensure product robustness and explainability, collaborate with engineering, product, and data science, and support client engagement and go-to-market activity.

As a Customer Support Specialist, you will assist customers with the Crunchtime platform, troubleshoot issues, analyze data discrepancies, and collaborate with development teams to resolve technical problems.

As a Platform Engineer, you'll design and maintain Azure infrastructure, develop infrastructure-as-code, support CI/CD pipelines, and collaborate across teams.

The Senior Research HPC Engineer will enhance AI performance through optimizing GPU clusters, model training, and low-latency inference solutions while collaborating with researchers across various teams.

Responsible for ensuring the capacity and performance of IT infrastructure, conducting forecasting, performance tuning, and continuous improvement of operational resilience. Collaborates with teams on reliability metrics and compliance.

As a Technical Account Manager, you'll enhance client relationships, provide strategic consultations, and implement solutions to optimize user value from Stripe services.

As a DevOps Engineer, you will design cloud architectures, automate deployments, and enhance system observability while collaborating with engineers across the organization.

Design, develop, and maintain scalable data architectures and ETL pipelines, integrating internal and third-party data while optimizing performance and security compliance.

The Data Scientist develops data pipelines, machine learning models, and optimization models, integrating features into the product's technical stack and business processes.

The Data Engineer will design and build production-grade data pipelines and architectures for AI solutions, ensuring data quality and collaborating with cross-functional teams.

Design, develop, and maintain scalable applications on AWS. Implement event-driven architectures and AI/ML pipelines, and optimize application performance. Collaborate with cross-functional teams.

Develop stock selection signals, maintain models, research factors, enhance infrastructure, and assist in portfolio management while communicating findings.

Develop components for trading and research environments, enhance process automation, maintain trading systems, and ensure operational efficiency.

As a Senior Data Scientist, design AI agents, perform data analysis, lead teams in data science projects, and ensure technical solutions drive real value.

As a Senior Solutions Consultant, you'll implement AI-powered solutions for enterprise clients, customize Coveo's features, and lead project delivery across various systems.

Lead hydraulic and water quality modelling, mentor junior staff, and develop flood risk assessments and flood alleviation schemes for clients in various sectors.

The Software Engineer will design and deliver backend features, improve architecture, implement testing, and collaborate with teams in a critical execution engine.