Top Python Jobs in London

Looking for a Back-End Engineer with 2+ years in C# and .NET Core, to develop web applications and collaborate with various teams.

The role entails delivering portfolio forecasts, analyzing impairment drivers, developing reporting structures, and collaborating with cross-functional teams for insights.

The Data Engineer will develop cloud-based data pipelines, manage integrations, create data services, and ensure data quality using various modern tools and programming languages.

Lead compliance testing and evaluation of IoT products, interpret cybersecurity standards, develop testing methods, and guide teams through security evaluations.

The role involves providing technical support in Exposure Management, focusing on non-traditional reinsurance structures, collaborating with teams, and enhancing analytics processes.

As a Technology Consulting Manager, lead high-impact projects, analyze technologies, support strategy engagements, and contribute to M&A technology advisory efforts while collaborating with teams and presenting insights to clients.

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 VP, Product Strategist will engage with clients to design investment solutions, incorporating PIMCO's capabilities and addressing the needs of insurance companies.

As a Senior AI Data Scientist, you will design and develop AI-driven tools for market research, analyze data, and collaborate with cross-functional teams.

The role involves developing trade ideas on the Commodities desk, focusing on Natural Gas, Power, or Petroleum markets, leveraging quantitative skills and collaboration.

Provide Level 2 technical support to customers across the UK and Europe, managing technical issues, and collaborating with internal teams to ensure resolution and customer satisfaction.

Lead Risk Analytics Technology group, develop risk models like VaR and PFE, manage IT infrastructure, drive innovation, and support tool development.

The role involves overseeing solution architecture, driving design reviews, managing resources, and mentoring development leads.

As a Transaction Monitoring Analyst, you will monitor merchant activity, investigate potential risks related to money laundering and fraud, collaborate with internal teams, and ensure compliance with regulations.

Join a collaborative team to build and optimize the AI infrastructure. You'll work on various projects with end-to-end ownership and make significant impacts. Engage in problem-solving and contribute to enhancing products using modern technologies.

As a Senior Full-Stack Engineer, you will develop complex UIs for dataset visualization and annotation, working with multi-modal data while ensuring high performance and reliability.

Encord seeks a Full-Stack Engineer to enhance their platform, involving end-to-end ownership of projects, and collaboration within a high-performing team. Responsibilities include building and deploying systems, problem-solving, and product ownership in an agile environment.

Develop and evaluate perception models, manage datasets, build data pipelines, and mentor junior engineers in an autonomous ground handling environment.

The Implementation Engineer will architect and implement DevSecOps and FinOps solutions for enterprise customers, streamline platform deployments, and ensure customer satisfaction by aligning technical processes with business objectives.

The Senior Arista Engineer will lead the design, implementation, and optimization of Arista networks and Fortinet solutions, while mentoring network engineers and driving automation.

As a Founding Engineer, you'll build and ship full-stack features, shaping product strategy and technical direction in a startup environment.

As a Software Engineer, you will design and manage cloud infrastructure, enhance DevOps practices, and collaborate with teams to drive innovation in drug discovery.

The Data Analyst (UX Research) will analyze data to support product and business decisions, generate customer insights, and visualize findings to drive strategic outcomes in a collaborative environment.

The Machine Learning Scientist will develop state-of-the-art models for personalized recommendations, collaborate with teams, conduct experiments, and stay updated with ML advancements.

The Senior Content Manager will lead the evolution of FactSet's Technology data offerings, manage datasets, enhance product features, engage clients, and oversee team development.