Top Python Jobs in London

Responsible for the development and enhancement of the Guidewire platform, mentoring the team, ensuring best practices, and troubleshooting technical issues while coding and optimizing performance.

As a Data Engineer, you will modernize data infrastructure, develop scalable solutions, and collaborate with teams on data-driven projects.

The Senior Data Engineer will design and maintain data pipelines, collaborate with teams for data analysis, ensure data quality, and lead projects utilizing various data technologies.

The Senior Product Manager will enhance the game's economy, predict player behavior, and improve engagement and retention while collaborating with various teams to drive strategic decisions.

The Data Scientist will develop and deploy machine learning models, focusing on computer vision, NLP, and recommendation systems, while collaborating with engineering teams and product stakeholders.

The Quantitative Researcher will design trading models, apply statistical techniques for signals, and work on trading strategies and market analysis.

The Personalised Search & Retrieval Engineer will optimize semantic search infrastructure, develop personalized systems, and implement continuous learning for search quality improvement.

The Growth Engineer will develop and optimize ElevenReader’s web platform and growth campaigns, focusing on SEO and conversion rate maximization. The role requires strong full-stack development skills and collaboration with marketing teams to design effective landing pages.

Develop and enhance pricing and risk platforms, utilizing C# and Python, while collaborating with portfolio managers and risk management teams.

As a Senior Manager of Engineering, you will lead software development teams, oversee project execution, drive strategy for Microsoft Dynamics 365 solutions, enhance development practices, and promote team growth and innovation.

The Senior Engineer role focuses on data engineering for sustainability initiatives, developing data pipelines, ensuring data quality, and collaborating with technical and business teams.

The Fund Oversight Analyst will support fund-related operations, manage documentation, ensure regulatory compliance, and maintain vendor relationships while collaborating with cross-functional teams.

The Quantitative Developer will design quantitative pricing libraries, collaborate with analysts on model implementation, improve existing models, and create automated reports for trading.

The MLOps Engineer will enhance ML infrastructure, deploying and monitoring models, ensuring scalability and security, while collaborating with cross-functional teams.

Interns will work alongside technology teams to develop software solutions, manage risk, and support investment strategies over a 10-week period.

Responsible for designing and implementing scalable applications, troubleshooting software issues, and collaborating with teams using Agile methodologies. Must have experience in Java and cloud technologies, specifically AWS and Kubernetes.

The AVP, Intelligent Automation Lead will oversee AI projects, guide RPA teams, and identify workflow improvements to enhance profitability across business functions.

The Internship Programme offers training in financial markets and allows interns to build tools, analyze data, and work with Quant teams on AI integration and trading strategies.

Responsible for designing, implementing, and scaling backend systems for web and mobile products, collaborating with teams, and managing orchestration systems.

The Specialist in Price & Value analyzes data to enhance product value for customers, recommends strategic pricing, and maintains reporting trends to ensure effective product performance.

Lead data science projects to develop and evaluate marketing tactics using innovative techniques. Collaborate across teams to influence strategic decisions and drive business impact.

The Senior Catastrophe Modelling Analyst will lead projects in exposure management, providing analytic support for risk assessment, compliance, and reporting within reinsurance, while enhancing team capabilities and client relationships.

Lead the integration of Luminance with third-party systems, manage a technical team, and ensure seamless client implementations through effective architecture and documentation.

The Senior Customer Solutions Engineer will enhance customer integration with AI solutions by collaborating with sales, providing technical expertise, and supporting seamless workflow implementations.

The Client Solutions Engineer assists clients in integrating with Luminance's AI platform, developing resources, and ensuring a seamless customer experience.