Top Python Jobs in London

The Finance & Partnerships Analyst will develop financial models, collaborate with teams, measure partnership performance, analyze revenue impacts, and present insights to influence strategic decisions.

Design and implement scalable search capabilities, collaborate with teams, manage indexing, and ensure performance for internal and customer systems.

The Applied AI Engineer will work with clients on deploying AI products, developing full-stack applications, and improving product capabilities based on customer feedback.

The Site Reliability Engineer will enhance system reliability, automation, and performance, collaborating with software engineers and researchers, while handling production systems and resolving issues.

Lead the development of scalable kdb+ solutions for financial institutions, mentoring teams, and designing robust architectures for time-series data.

The role involves developing and maintaining kdb+ applications, collaborating with business users, analyzing time-series data, and mentoring junior developers.

The Platform Security Engineer designs and implements security controls, manages threats, and collaborates on security incident responses. They enhance visibility and lead vulnerability management processes.

The role involves building and operating a data platform, ensuring data discoverability and query-ability, and mentoring team members.

Lead technical delivery of kdb+ solutions, design robust architectures for time-series data, mentor developers, and drive innovation in a financial context.

Contribute to testing and verification of FPGA-based trading platforms, implement testing strategies, and set standards for multiple exchanges.

Lead and develop Solutions Engineers in EMEA, ensure exceptional customer experience, and collaborate with AEs on technical solutions for data activation.

The role involves working on backend projects and collaborating across the stack, focusing on commercial solutions and project ownership. Candidates should have extensive experience and some leadership capability.

The Cloud DevOps Engineer will design, implement, and manage AWS cloud infrastructure, automate processes, and collaborate with teams to enhance solutions.

The Associate Director will manage media data projects for Nike, leading teams and driving efficiencies through data analysis and insights.

Seeking a Staff Systems Engineer with expertise in VMware, Linux, automation frameworks, and enterprise datacenter operations to optimize private cloud environments for SaaS products.

The Data Engineer will manage pipelines, integrate bioinformatics data, develop ETL workflows, enhance data governance, and promote data usability for non-technical users.

As a Senior Data Platform Engineer, you will lead complex incident management, influence architecture solutions, and provide ongoing support for enterprise data platforms while mentoring the team and ensuring service delivery excellence.

The role involves leading automation testing, developing automated frameworks, executing various tests, tracking defects, and providing guidance to other testers.

The Data Scientist develops scalable tools and workflows for efficient statistical computing, enhances automation, and supports decision-making in clinical development. Responsibilities include coding, data analysis, and collaboration with multidisciplinary teams.

The RWD Scientist generates insights from real-world data to inform clinical development and regulatory strategies. Responsibilities include designing observational studies, data cleaning, performing feasibility assessments, and supporting knowledge sharing in RWD methodology.

The DSX Implementation Specialist designs scalable tools and automation solutions for clinical development, ensuring efficiency and compliance in statistical programming workflows.

The Data Strategy & Analytics Specialist designs and executes data strategies and analyses to support decision-making and insight generation in Roche's Product Development. This role involves collaborating with teams to align strategies with goals, assist in data integration, and contribute to analytic executions using diverse data sources.

The Sales Engineer will partner with Account Executives, lead technical discovery sessions, deliver product demonstrations, and act as the main technical advisor for prospective clients, translating technical concepts for various stakeholders.

As a Solutions Engineer, you will partner with Account Executives to lead technical strategies and implement solutions for enterprise customers, focusing on AI applications and integrating complex data systems.

As a Sales Engineer, you will collaborate with Sales and Customer Success teams, utilizing technical expertise to deliver customized API and data solutions, manage client requests, and enhance customer satisfaction in enterprise environments.