Top AWS Jobs in London

As a Python Developer, you will design and maintain robust APIs, manage data pipelines, and integrate cloud platforms for the Global:IQ platform.

As a Full-Stack Engineer, you will enhance the consumer portal experience by developing a high-performance website using various technologies, focusing on React and TypeScript while collaborating across teams.

The role involves developing, fine-tuning, and optimizing large language models, building ML infrastructure, and implementing CI/CD practices for AI/ML systems.

The Engineering Manager will lead and support engineering teams, shape technical strategy, ensure quality in software delivery, and promote AI adoption.

Design and implement Python testing frameworks, conduct ETL testing, and collaborate in a CI/CD environment focusing on cloud-based data platforms.

As a Cloud Engineer, you will manage cloud infrastructures, leverage serverless services, integrate with third-party solutions, and ensure security best practices while working in an Agile team.

Deploy and integrate Latent Labs' generative biology models into customer environments. Lead end-to-end technical deployments, build production-grade APIs, data pipelines and model-serving infrastructure, work on-site with pharma/biotech partners, ensure enterprise security and reliability, gather customer feedback, and document integrations while collaborating with product and research teams.

As a Senior Python Engineer, you'll design and build the core infrastructure for AI forecasting systems, integrating data ingestion and reasoning mechanisms while contributing to technical strategy and team growth.

As a Technical Support Engineer, you will provide Level 2 support, troubleshoot F5 products, communicate with customers, and collaborate with engineering teams.

The Head of Windows Enterprise leads the global Windows ecosystem, sets strategic direction, manages teams, and ensures operational excellence in Microsoft services.

The Product Engineer will develop user-facing features, improve the product's UX and design, and build backend APIs, focusing on modern web applications and AI-driven materials science solutions.

The AI Engineer designs and deploys production-grade AI systems using LLMs, collaborates with clients to understand complex problems, and improves AI application workflows and architectures.

Provide Level 2 IT support for CDSClear's trade management and risk platforms, managing operational health, incident management, and change processes while collaborating with other teams and enhancing performance.

As a Full Stack Engineer, you will develop features for the Avios App, enhancing the user experience while collaborating with a mobile product team. Responsibilities include building scalable solutions, code reviews, mentoring, and maintaining performance across mobile and backend technologies.

As a Senior Full Stack Engineer, you'll design and deliver complex features for the Avios App, collaborating with engineers and other roles to enhance mobile experiences and scale the platform.

The Deployed Engineer works on production AI agents, collaborating with customer engineering teams, advising on architecture, and providing technical demos. They focus on co-architecting solutions, ensuring technical success during evaluations, and contributing feedback to improve the LangChain platform.

Lead a small team to develop and maintain cloud-based services using JavaScript, TypeScript, and Node. Oversee project delivery, collaborate with cross-functional teams, ensure data security, and optimize performance.

Lead the engineering teams to develop ML infrastructure, define strategy, manage operations, and foster a high-performance engineering culture in drug discovery.

Seeking a Full Stack Software Engineer with expertise in cloud platforms, full-stack development, and Agile methodologies to build data-driven solutions.

The role involves designing, building, and deploying ML systems, supporting stakeholders, and operationalizing AI applications in Defence.

As a Machine Learning Engineer, you will develop ML models, optimize solutions, automate workflows, and design ML architecture while ensuring high-quality production software delivery.

The role involves engineering machine learning solutions, optimizing models, conducting data science experiments, and leading projects while ensuring software quality and cloud integration.

Responsible for managing the lifecycle of accelerator capacity, developing AI infrastructure, and driving cross-team initiatives while ensuring operational excellence and mentoring engineers.

The Staff Infrastructure Engineer will lead the strategy for agent-driven cluster lifecycle management, ensuring secure and scalable compute systems while mentoring junior engineers.

As a Platform Engineer, you'll build and operate distributed analytics platforms, collaborate with teams to enhance capabilities, and drive improvements in automation and observability.