Top Python Jobs in London

The Retention Analyst will analyze player behavior, enhance customer retention, report on bonus spending, and collaborate with marketing teams to drive insights and improve targeting strategies.

The Cloud Engineer will manage and enhance Azure Databricks environments, focusing on production readiness, pipeline reliability, automation, and collaboration with data teams to ensure robust AI and data capabilities.

The Risk Automation Lead will automate risk processes, enhance risk models, and leverage AI for efficiency across the AHL Risk teams.

The Senior Energy Analyst will focus on sales, technical support, and product development in the Iberian energy market, leveraging expertise to drive client engagement and project modeling.

The role supports the growth of automated trading solutions by onboarding clients, analyzing workflows, and creating tailored solutions in collaboration with Sales and Product teams.

As a Software Engineer at Wexler, you'll architect and build full-stack applications, develop features, collaborate with AI engineers, and contribute to technical decisions while working in a fast-paced startup environment.

As a Senior Customer Success Manager for Oil & Gas, you will lead customer engagement, support pre-sales value engineering, scope deployments, and guide adoption of robotic solutions while building stakeholder relationships and driving value realization.

The Research Analyst will support the International Arbitration practice through data analysis, economic and financial modelling, and project team collaboration on international disputes.

The Research Analyst Intern will assist in quantitative and qualitative research, economic modelling, and data analysis for arbitration and competition cases, contributing to reports and presentations.

As an Entry Level Software Developer, you will assist in developing mobile or web applications, participate in code reviews, and research new technologies.

The role involves creating predictive crypto trading signals, monitoring strategies, analyzing data sets, and collaborating with researchers.

As a Quantitative Developer intern, you will work on engineering solutions for quantitative research and trading, focusing on infrastructure, low-latency systems, and tool development.

The AI Engineer will focus on the lifecycle of production-grade AI, from model training and inference optimization to deploying models within microservice architectures.

As a Sales Pioneer at digiLab, you will handle end-to-end sales, close long-term deals, collaborate with various teams, and contribute to sales growth in a dynamic AI environment.

Join a startup as a Full-Stack Engineer, responsible for designing and operating a SaaS platform, managing AWS infrastructure, and developing AI integrations.

Design, develop, and implement full-stack applications and AI-enabled solutions. Collaborate with teams on AI integration and mentor junior developers.

Join Pharosyn as a founding engineer to automate competitive intelligence in pharma by building AI systems for monitoring clinical trials. You will manage full-stack development and interact with strategic teams weekly.

Lead the backend engineering team to develop AI-enabled systems, manage engineers, and architect backend platforms for a fintech startup.

As a Lead Software Engineer, you will develop solutions for complex business problems, focusing on a fully automated platform in the margin and collateral domain, while fostering a strong engineering culture.

The Client Financing Strategist role involves developing pricing models, trading applications in Python/Scala, and improving risk analytics while leveraging GenAI technologies.

The Senior Machine Learning Scientist will develop ML models for single-cell and multiomic data, translating biological insights into therapeutic strategies, collaborating with experimental teams, and shaping the research roadmap.

Responsible for designing, building, and supporting high-performance Linux servers for trading platforms, diagnosing issues, and optimizing performance.

The Climate Data Scientist will enhance climate risk models, develop new analytical tools, and support financial entities in assessing climate impacts using large datasets and advanced methods.

The Senior Principal Data & Insights role focuses on leading a team to drive data-driven decision-making globally, using tools like Power BI and ThoughtSpot, while ensuring process improvements and alignment with business objectives.

The Senior Software Engineer will lead projects, improve code architecture, ensure operational readiness, and collaborate with teams while contributing to technical execution and mentorship.