Top Python Jobs in London

The Pricing Transformation Actuary will lead the development and implementation of a new pricing model system, ensuring compliance and scalability, while managing stakeholder engagement and transformation processes.

The Senior Actuarial Analyst will lead reserve adequacy studies, manage quarterly tasks, and collaborate with multiple international teams. They will develop new reserving methodologies and support global projects while ensuring adherence to best practices.

The role involves analyzing business processes, collaborating with stakeholders to implement technical requirements, and troubleshooting issues to improve system stability.

Responsible for developing relationships with enterprise customers, enhancing product adoption, and driving customer success through strategic planning and collaboration with internal teams.

The Senior Infrastructure Engineer will architect systems, build agentic tools and automation, manage cloud infrastructure, and enhance observability across services at MUBI, applying strong software engineering principles and DevOps practices.

As a Systems Engineer, you'll support UK & EMEA services in ITSM, Infrastructure, and Business Applications, focusing on service stability and automation to enhance efficiency.

Lead a team of data engineers, drive engineering excellence, build AI-ready data platforms, and collaborate across teams to solve impactful problems.

The Risk Analyst will facilitate data integration, automate validation processes, manage Key Risk Indicators, conduct risk assessments, and communicate findings to senior management.

As a Data Scientist, you will manage ML solutions lifecycle, focusing on lending decisions, and develop predictive models while collaborating across teams.

The Senior Data Scientist will lead applied data science initiatives, conducting statistical analysis and supporting AI-enhanced workflows for policy evaluations. They will collaborate with researchers, analyze real-world data, and communicate findings to stakeholders.

The internship focuses on grid flexibility and smart energy systems, requiring research into customer behavior and data analysis to support Octopus Energy's flexibility strategy.

The Data Scientist will conduct analytical projects related to Signals, propose improvements, design ranking methodologies, and develop ML models.

The Product Analyst will analyze customer data to identify opportunities for improving ASOS's user experience, define KPIs, and design experiments to optimize product engagement and conversion.

As a Senior Solutions Architect, you'll design integration solutions for insurance clients, lead technical evaluations, and guide sales cycles, ensuring seamless onboarding and integration of hx Renew.

The Tech Lead will oversee system design, cloud-native solutions, and mentor team members while ensuring high-quality engineering practices and delivery of complex initiatives.

The Numerical Methods Research Scientist will develop and optimize numerical methods for drug discovery, collaborating with a multidisciplinary team to enhance AQEMIA's physics-based platform.

The Audit Manager will lead IT, payments, and cyber audits at Santander, ensuring effective risk management and compliance. Responsibilities include enhancing audit quality through technology and building relationships across departments.

Join a small team as a researcher to build and improve quantitative models predicting horse racing outcomes, impacting financial performance directly. You'll work with statistical models, data analysis, and make independent choices while shaping the project direction.

The Lead Robotics Engineer will drive technical direction and delivery of robotics systems in production, mentor engineers, and ensure project timelines and quality standards are met.

Lead system/software engineering teams in designing, developing, and integrating software solutions for hybrid cloud automation and manage customer engagements.

Analyze campaign data and optimize processes for client performance. Implement AI solutions and ensure data integrity while providing actionable insights.

The Data Analyst supports infrastructure projects by analyzing data, developing algorithms, and designing data models to enhance project efficiency and decision-making.

Lead a team of Senior ML Scientists to enhance automated decision-making in credit risk modeling, optimize data applications, and collaborate across departments.

The Implementation Engineer will configure AI products, lead projects, document requirements, perform testing, and provide on-call customer support.

The Senior Site Reliability Engineer will lead architectural changes, manage Kubernetes platforms, troubleshoot production issues, automate infrastructure, mentor engineers, and enhance AWS services.