Top Python Jobs in London

Lead Relation's Data Platform team by designing a unified data strategy, optimizing data workflows, and ensuring data governance, while developing a high-performing engineering team.

The Senior Developer will design and manage automation platforms, ensure best practices for security and compliance, and develop monitoring tools. They will collaborate with teams to enhance system performance and implement CI/CD processes.

As a Cloud Infrastructure Engineer, you will enhance Optiver's cloud systems for digital assets trading, focusing on performance, security, and resilience. Responsibilities include designing low-latency infrastructure, implementing CI/CD for changes, and managing cloud performance setups.

The AI Analyst will collaborate with stakeholders to deliver AI solutions, validate models, improve deployment, and provide user training within the London office.

Interns will work on AI, code understanding, and data analytics, focusing on distributed systems and AI agents while collaborating with experienced engineers.

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.

The Senior Software Engineer will develop and optimize multi-currency account systems and payment processes while mentoring junior team members and collaborating with stakeholders.

Join Rothesay as a Quantitative Engineer to build functionalities on a new platform using Rust and Python, focusing on financial analytics.

Join Rothesay's engineering team to develop and support their platform, including SDLC tooling, distributed computing, and database optimization.

The Senior DevOps Engineer will automate and manage AWS cloud infrastructure, deploy Kubernetes applications, and implement CI/CD pipelines while ensuring security and compliance.

Lead the Site Reliability Engineering team focusing on productivity, project management, and innovation in financial technology. Drive operational excellence and mentor engineers.

The Senior Analyst will lead initiatives on international growth strategy by developing tools, insights, and analytics to support decision making across various teams.

As a Site Reliability Engineer, you will develop and implement secure infrastructure concepts, support project teams in classified environments, and maintain various security tooling and systems.

Forward Deployed Engineers at Elixirr create rapid prototypes from ideas, embedding with teams to design agentic solutions that enhance internal processes, leveraging AI and software engineering skills.

The Data Analytics Senior Analyst role involves providing data-driven insights, building dashboards, and developing reporting tools using various technologies. The analyst will also apply AI and automation tools to enhance data analysis and reporting capabilities across international business.

The Solutions Architect will drive partner engagement, assist in AI platform implementation, support customer adoption, and enhance partner success through technical expertise and collaboration.

The AI Solution Architect will drive the adoption of AI solutions, partner with sales, guide customers in integration, and ensure successful project implementation, requiring strong technical skills and a customer-facing background.

Design and manage platform APIs for cloud automation, build backend services in Go/Python, contribute to platform reliability and observability, and collaborate across teams.

Drive adoption of AI solutions, integrating GenAI into client operations, managing product deployment, onboarding, and projects, while collaborating with internal teams.

As M&A Tech Specialist, you will identify and evaluate AI acquisition opportunities, conduct technical due diligence, and collaborate with teams to enhance Mistral's capabilities and market presence.

The Lead Azure Architect will lead cloud architecture design, manage a small team, coach architects, and ensure successful delivery of cloud projects for enterprise clients while maintaining customer relationships.

This role involves performing innovative research on market anomalies, managing data processing and modeling in mid frequency trading, and improving portfolio trading in production.

The Quantitative Researcher will research market anomalies, perform data processing, optimize strategies, and maintain portfolio trading systems.

This role involves designing, testing, and deploying hardware as part of an Ultra Low Latency team. You’ll own the physical design flow while also understanding RTL and contributing across the chip design process.

Lead and deliver data science projects end-to-end, applying techniques to solve business problems and produce insights. Collaborate with stakeholders and teams to improve personalization propositions and derive scalable results.