Top Python Jobs in London

The Financial Risk Manager will support the Risk team with ETD project reporting, risk monitoring, and ensuring awareness of financial risk responsibilities.

The ML Ops/Data Engineer will ensure reliability and scalability of ML systems, manage data pipelines, monitor performance, and collaborate with teams for optimization.

The IT Systems and Support Engineer is responsible for designing and maintaining IT infrastructure, troubleshooting issues, automating workflows, and complying with security standards. They will also mentor junior engineers and research new technologies to enhance IT processes.

The Senior Data Engineer will design, maintain, and optimize scalable data pipelines, ensuring data quality and governance while collaborating with stakeholders to meet data needs.

The role involves leading backend-focused engineering initiatives, evaluating project impacts, and ensuring effective team collaboration within a high-performance engineering culture.

As a Lead ML Engineer, you'll design and build recommendation systems, combining AI and user preferences to enhance shopping experience, overseeing the ML lifecycle from models to deployment.

Quantitative Researchers analyze data sets, identify patterns, and develop predictive trading models while collaborating with various stakeholders in trading strategies.

The Senior Data Scientist will lead AI projects, mentor junior staff, design software architecture, and engage with clients to deliver quality data science solutions.

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 Machine Learning Engineer, you will lead the development of AI systems, design production-grade ML software, and mentor junior engineers while engaging with clients on technical strategies.

As a DevOps Engineer, you will design, build, and maintain automation, tooling, and cloud infrastructure for software delivery. Responsibilities include CI/CD management, cloud infrastructure design, container orchestration, and security practices. Collaboration with development and operations teams is essential for continuous improvement and system reliability.

The Senior Data Platform Engineer will lead the development of scalable Snowflake services, automation, CI/CD pipeline design, and security controls to optimize data-driven healthcare projects.

The Analytics Engineer will design and maintain Power BI dashboards, implement data models, and collaborate with stakeholders to ensure data solutions meet organizational objectives.

The Catastrophe Portfolio Analytics Manager leads catastrophe analytics development, supports risk management and strategic decision-making, and mentors team members for Chubb European Group.

The AI Engineer will oversee AI model lifecycle from training to deployment, ensuring performance and reliability through high-quality Python coding and infrastructure management.

Lead the design and implementation of controls analytics solutions for infrastructure projects, ensuring data-driven insights support project risks and performance management to align with client goals.

The Forward Deployed Engineer manages the technical onboarding and support for enterprise clients, ensuring effective integration and workflow design for healthcare settings by directly working with clinical stakeholders and providing solutions to technical challenges.

As a Software Engineer on the Safeguards team, you will build systems for monitoring AI models to promote safety and prevent misuse, ensuring oversight and user well-being.

The Senior Systems Engineer will design and maintain AWS infrastructure, implement Infrastructure-as-Code, enhance observability, and mentor teams. Focused on automation and reliability, this role collaborates with cross-functional teams to optimize cloud systems.

The role involves supporting tech leadership through onboarding programs, vendor coordination, document synthesis, and initiative management to improve operational efficiency.

The Data Engineer will analyze, clean, and manage various datasets to assist traders at Jane Street, automating ETL processes and ensuring data quality.

Software Engineers at Jane Street engage in collaborative technology-driven work, using functional programming with OCaml and Python for various business problems.

Join a Machine Learning team to build deep learning models for trading strategies, collaborating with researchers and traders in a dynamic environment.

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.

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