Top Python Jobs in London

As a Data Architect II, you'll design and maintain data architectures, focusing on big data and AI workflows, while ensuring compliance with enterprise standards and best practices.

Lead the design and development of complex AI solutions, manage a team of engineers, and engage stakeholders to deliver innovative technology solutions.

The Sr. Platform Engineer at vCluster Labs manages cloud infrastructure, optimizes CI/CD pipelines, and develops internal services to enhance engineering efficiency, ensuring robust deployment and operational support.

Perform daily data checks, cleanse and validate maritime data, build dashboards, and apply analytical methods to produce accurate insights. Collect vessel and company metadata, monitor data quality, suggest KPI improvements, automate routine tasks, and respond to client ad-hoc data requests while developing maritime market expertise.

The Insight Analyst will enhance decision-making through data analytics, lead projects, provide insights, and mentor team members.

The Data Scientist will develop and evaluate machine learning models, perform data analysis, and provide insights to improve customer engagement and decision-making.

The role involves data analysis, collaboration with stakeholders, product management, and enhancing data solutions, particularly in DaaS products using ML and AI.

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.

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 research on economics in a post-AGI world, develop economic models, collaborate with multidisciplinary teams, and communicate findings to stakeholders.

Develop custom tools and interfaces using low-code products, automate workflows, ensure data integrity, and collaborate with stakeholders to solve operational challenges.

Drive product roadmap decisions through deep data analysis, dashboards, and experimentation. Partner with commercial/mortgages product teams to measure performance, identify opportunities, run A/B tests, mentor analysts, and ensure data quality.

Maintain and QA daily multi-factor risk models, quantitative indices, and multi-asset data analytics. Monitor markets and corporate events, analyze large financial datasets, support client inquiries, streamline data production processes, and collaborate with global teams to ensure accurate index and data product delivery.

Lead the design and implementation of autonomous agent systems at scale, ensuring security and compliance in enterprise environments while mentoring engineering teams.

Lead the development and support of public cloud platforms focusing on AWS and Azure, ensuring secure, scalable solutions while managing resources and providing BAU support.

As a Senior AI Deployment Engineer, you'll develop and deploy AI software on cloud and edge devices, optimize AI models, and work with microservices and MLOps.

The Senior Software Engineer will develop and maintain a large-scale calculation engine, mentor other developers, optimize performance, and support customer needs for distributed calculations.

The Quantitative Risk Senior Analyst monitors and reports on market and liquidity risks, supports risk models and methodologies, and collaborates with teams to ensure risk management standards are upheld.

As a Data Scientist in Marketing, you will analyze data to deliver actionable insights, support MMM models, and collaborate with cross-functional teams to improve marketing effectiveness.

Lead client-facing analytics engagements in Strategic Revenue Management/Revenue Growth Management for CPG clients. Define business problems, lead advanced-analytics solutions (SQL/Python/R/BI), manage stakeholders, ensure business value, perform deep-dive analyses, and communicate insights and recommendations.

Design, develop, and deploy AI powered software for medical devices. Work with a cross-functional team to optimize AI/ML models for various platforms.

The Vice President, PAM Lead will oversee the Privileged Access Management program, ensuring cybersecurity compliance and enhancing security measures. Responsibilities include CyberArk management, risk assessment, collaboration with teams, and continuous improvement of PAM practices.

Manage and enhance VMware and Nutanix virtualization technologies, implement operational processes, ensure compliance, and provide subject matter expertise.

Oversee the Totem Product by enhancing consensus services, analyzing financial data, and collaborating with IT to innovate features. Requires strong analytical skills and expertise in financial derivatives.

Lead the Risk Platform Operations team to ensure accurate and timely delivery of portfolio risk analytics, mentor junior members, and enhance data quality controls.