Top Python Jobs in London

Lead the development and optimization of fraud monitoring systems, including rules engines and data flows, while managing a technical team and collaborating with various engineering units.

The Senior Manager, Data Analytics will oversee data-driven decision-making, analyze complex datasets, implement data quality controls, and automate reporting processes while collaborating with cross-functional teams.

The Solution Architect designs and delivers cloud solutions for clients, coordinating closely with sales and product management, while maintaining expert knowledge in real-time data feeds and related technologies.

The Quantitative Developer will design and develop cloud-native Python applications, build quantitative tools for trading, and collaborate with Researchers and Traders on infrastructure and data engineering initiatives.

The Quantitative Researcher will create predictive signals, analyze data patterns, and implement models within a global execution platform, leading the entire research strategy cycle.

The Compliance Analyst ensures operational compliance, aids in regulatory reporting, supports policy reviews, and manages internal compliance reporting with a focus on multiple trading activities.

The Research Engineer will work with researchers to develop software solutions in quantitative finance, focusing on performance optimization and system scalability.

The Principal Data Analyst will lead a team to deliver analytical solutions, manage performance analysis, and optimize decision-making in the Supply domain.

As a Senior Python Engineer at Abound, you'll develop automation for financial operations, translating business requirements into reliable systems, while collaborating closely with stakeholders.

The Solutions Architect will design and deploy scalable AI infrastructure and applications, working closely with enterprise clients to optimize agent systems and ensure customer success.

As a Staff Software Engineer, you'll lead technical direction, manage engineering roadmaps, ensure code quality, and collaborate with teams on high-impact projects in building Plaid for Europe.

The Applied AI Engineer will advise startups on using Claude, providing technical support for product development, architectural designs, and documentation while collaborating within the team and fostering community engagement.

The Data Analyst role focuses on using analytics, AI, and automation to improve operations at Lendable. Responsibilities include demand analysis, KPI framework development, and collaborating with operations leadership.

The AWS DevOps Engineer will design, build, and maintain cloud infrastructure, CI/CD pipelines, and automation frameworks, ensuring adherence to DevSecOps principles.

As a Senior Applied Scientist, you will develop generative models for simulating environments, enhancing training and deployment in autonomous driving systems.

As a Staff Cloud Site Reliability Engineer, you will build and scale AI cloud platform reliability, define operational standards, and lead SRE initiatives.

The Senior Machine Learning Engineer will lead the development and deployment of AI systems, designing scalable ML software, collaborating with teams, and mentoring juniors.

As a Full Stack Software Engineer, collaborate with teams to build and scale AI-powered systems, handling the full application lifecycle and deploying solutions.

As a Data Scientist, you will design and deliver data science solutions, work closely with clients, and drive delivery excellence while ensuring technical feasibility.

As Head of Product Engineering, you will lead the engineering team, shape technical strategy, mentor engineers, and drive product evolution while collaborating across functions.

Lead the design and operation of AWS/Linux platforms, optimize infrastructure, drive DevOps excellence, and mentor engineering teams to improve reliability and deployment efficiency.

Analyze data to generate insights for brand performance in Western Europe, troubleshoot data issues, and enhance reporting systems. Create frameworks for strategic analysis and support cross-functional collaboration.

Lead the design and operation of AWS/Linux platforms, ensuring performance, scalability, and cost efficiency. Build CI/CD pipelines and automate workflows, while mentoring engineering teams and driving DevOps practices.

The Lead Data Engineer will manage the data engineering function, lead a team, design data architecture, and enhance data engineering with AI solutions.

Design, develop, and deploy software solutions while collaborating with teams, contributing to technical discussions, and enhancing engineering best practices.