Top AWS Jobs in London

The Senior Application Engineer will build, test, and deploy AI and cloud-native applications, focusing on modern software delivery and AI code generation testing.

The Data Engineering Manager will lead a team in developing scalable data solutions, manage projects, enforce best practices, and collaborate on data initiatives.

As a Technical Team Lead, you will coach and develop high performing software development teams, lead the software development lifecycle, and contribute to enhancing system performance and code quality.

As a Staff Backend Engineer, you'll lead the technical vision for Payments and Fulfilment systems, mentor engineers, and ensure scalability and security.

As a Senior Software Engineer, you'll lead the development of a high-performance calculation engine, mentor team members, implement improvements, and optimize risk calculations in a distributed environment.

As a Frontend Engineer, you will collaborate with data scientists and engineers to build scalable web applications and maintain frontend standards.

Manage and optimize distributed systems including ClickHouse and Kafka, configure Kubernetes, and implement GitOps workflows for seamless infrastructure management.

As a Full-Time Analyst, you will develop software in an agile environment, ensure quality standards, and support testing cycles, contributing to impactful financial technology projects.

The role involves designing and managing AI agent integrations, multi-agent orchestration, API development, workflow automation, and ensuring secure data communication across systems.

The Data Engineer II builds and maintains automated data services and pipelines, applies best practices in software development, and ensures data quality and compliance, while also supporting and improving existing services.

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.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

Lead technology initiatives in Commercial Excellence IT, focusing on CRM and Events Management for ex-US affiliates. Collaborate with cross-functional teams, develop technology roadmaps, and oversee implementations.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Staff Application Engineer, you will lead architecture designs, mentor engineers, deliver large-scale applications, and ensure operational excellence across teams.

Design, build, deploy, and operate data-driven cloud applications, ensuring feature quality, improving metrics, and mentoring engineers within a collaborative setting.

Join the Operations UI team to develop backend services using Golang and GraphQL, collaborating with senior engineers while learning best practices in a supportive environment.

Lead the design and deployment of large-scale, automated systems using ML/AI technologies, ensuring service reliability and optimizing workflows within the organization.

Lead architectural strategy and engineering culture for a new product at Veeva Link. Oversee team agility, product scalability, and AI integration while mentoring a cross-functional team to deliver high-quality, data-intensive applications.

As a Software Engineer III, you'll enhance AI features for LexisNexis® Classification, collaborating across global teams and modernizing the application stack.

Lead complex delivery projects for clients utilizing agile methodologies. Manage cross-disciplinary teams, advocate for change, ensure alignment between business and technical teams, and oversee project outcomes and client communication.

The Senior Back End Engineer will solve complex design and technical challenges in the energy sector, focusing on system automation and domain modeling. Responsibilities include processing large datasets and integrating AI solutions, contributing to innovative energy management solutions.

The Back End Engineer will work on complex design challenges, process large amounts of data, and automate client onboarding. Emphasis on domain modeling and building robust software is essential.

As a DevSecOps Engineer, you'll design, implement, and operate security services, maintain secure software platforms, troubleshoot issues, and enhance security practices while supporting engineering teams.

The Senior Data Engineer designs, maintains, and optimizes ML applications and data pipelines, ensuring compliance and quality while mentoring junior engineers.