Top Python Jobs in London

The Senior Finance Analyst will analyze commercial performance, maintain financial models, integrate AI tools, and support marketing and operations budgeting.

The role involves optimizing adaptive AI systems, translating brand strategy into data workflows, and leading projects from inception to deployment. Responsibilities include crafting system prompts, designing decision trees, conducting audits, and translating performance data for executives, all while collaborating across teams and ensuring brand safety.

The role involves designing and building backend services, UI components, and integrations, while maintaining solid infrastructure practices and contributing to team collaboration.

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

Technical lead for a cross-functional squad: design and implement complex features, set technical direction, establish CI/CD and quality strategy, drive observability and reliability, mentor engineers, and coordinate dependencies to deliver secure, scalable production software.

The Senior Research Engineer will develop and lead trading model research frameworks, partner with Quantitative Researchers, and enhance systematic trading strategies.

As an AWS Cloud Engineer, you'll design and implement cloud platforms and pipelines, work on infrastructure as code, and manage customer projects including builds and migrations.

The Azure Cloud Architect will design and operate the Azure cloud platform, oversee engineering teams, manage CI/CD pipelines, and ensure security and technical excellence in client projects.

The role involves designing, implementing, and delivering AI/ML solutions, developing machine learning models for scientific tasks, and collaborating with experts for data processes.

The Research Engineer will build and scale data infrastructure, architect multi-cluster orchestration, and enhance storage systems for AI training platforms.

As a DevOps/Platform Engineer, you will design and implement systems, optimize data pipelines, and collaborate with researchers to enhance productivity.

The Code Data Quality Specialist reviews code annotations for AI model training, maintains internal tooling, and troubleshoots issues while ensuring high-quality data production.

The Senior Backend Engineer will develop backend features for an AI product in healthcare, focusing on systems architecture, data storage, and API integration, while ensuring code quality and scalability.

The Applied AI Engineer will onboard customers, deploy AI applications, and collaborate with teams to resolve technical challenges and drive technological transformation.

Join Starling as a Software Engineer to design, implement, and maintain ML-powered features, collaborating with engineers and data scientists, while delivering impactful solutions in a hybrid working environment.

Manage and mentor Data Scientists in Payment Intelligence, oversee ML models for payment decisions, and guide strategic roadmaps while collaborating across teams.

As a Staff Full Stack Engineer, you'll build features and products leveraging modern tech across the stack, resolve technical issues, and maintain code quality while leading hiring and providing technical guidance.

As a Senior Data Scientist, you will lead the development of algorithms for payment solutions, working with cross-functional teams to enhance fraud prevention and payment success, utilizing advanced machine learning techniques.

As a DevOps Engineer, you will ensure infrastructure reliability and security, automate deployment, administer systems, and integrate security testing tools.

As a Senior Full Stack Engineer at Lawhive, you will build innovative products, resolve technical issues, and drive user delight, working with a collaborative team.

As a Compute Operations Engineer, manage reliable scalable research platforms, automate systems using Kubernetes, and collaborate on technology standards.

The role involves developing remote development capabilities in Kubernetes, focusing on user experience, continuous improvements, and platform security.

Lead and manage two engineering teams focusing on security automation and application development, ensuring secure, scalable systems across corporate domains.

Design, build, and optimize data pipelines. Ensure data integrity, performance, and maintainability while collaborating with engineering teams. Act as a point of escalation for data issues.

The Enterprise Network Lead will define and implement network strategies, ensuring performance, security, and resilience of global infrastructure while leading a team and managing vendor relationships.