Top AWS Jobs in London

Lead cloud cost visibility, tagging, allocation and showback. Drive commitment strategy (RIs, Savings Plans), build FinOps dashboards and tooling, improve forecasting and budgeting, identify waste and rightsizing, define cloud efficiency KPIs, investigate anomalies, and collaborate with engineering and finance to embed cost-aware decision-making.

Lead design and delivery of a greenfield Trust Accounting backend: own architecture, build secure auditable services, ensure reliability and observability, set quality gates, collaborate cross-functionally, and mentor engineers.

Design, build, and operate high-traffic backend services in PHP and Go. Extract services from a monolith, design APIs (REST/GraphQL) for agentic/LLM clients, improve page speed and end-to-end performance, leverage AI coding tools, and collaborate with Product and Design to deliver reliable integrations and cloud-based systems.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Lead design, operation, and automation of Fastly's global edge network. Respond to and lead network incident resolution (BGP/anycast), build automation and monitoring, analyze traffic and performance, mentor teammates, and partner with engineering to improve network reliability and tooling.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

The Edge Functions Engineer will evolve the Supabase Edge Runtime, implement monitoring and optimizations, manage features, and work closely with the Deno open-source teams.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

Research, prototype, and deploy ML models for physiological sensing (radar, audio, other signals). Design experiments, implement production-grade models for cloud and on-device inference, optimize for constrained compute, collaborate with clinical and engineering teams, and contribute documentation and regulatory evidence.

Design, ship, and maintain telecommunication capture services in a multi-cloud environment. Modernise and operate resilient audio/video capture platforms, support production systems, and collaborate with product and customer teams to deliver robust VoIP solutions.

The role involves building and scaling full-stack applications for document analysis, collaborating with AI engineers, and establishing engineering best practices.

The Principal Engineer (Payments) will lead the technical direction of Masabi's payments platform, designing scalable systems, supporting teams, and facilitating complex technical challenges in payments integration.

As a Full-Stack Engineer, you'll collaborate with the engineering team to design and launch products across the entire stack, from front-end to back-end and infrastructure.

As a Forward Deployed Software Engineer, you will work directly with customers to develop software solutions, utilizing full stack technologies and having autonomy over projects.

The Director of Lead Management will strategize and optimize lead management processes, overseeing teams, and driving business growth through analytics and collaboration.

As a Lab Informatics Engineer, you'll implement and optimize lab informatics systems, partner with scientists to create digital solutions, and enhance data interoperability.

Fogsphere seeks a PhD-level AI/ML Researcher to develop innovative solutions in deep learning and computer vision, leading research efforts and collaborating with engineers to implement ideas.

The Computer Vision Engineer will design, train, and optimize deep learning models for computer vision, manage data pipelines, and deploy solutions in production environments.

Develop scalable cloud infrastructure and robust software solutions for AI/ML, collaborating with engineers and scientists to enhance scientific research.

We are seeking an experienced Software Engineer to join our growing technology team focusing on Defence and Cyber Security projects.

The Data Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

Develop and maintain backend services and APIs, ensure system reliability, and collaborate in a fast-paced team environment.

Own day-to-day IT across London offices and cloud: administer SaaS apps, automate tasks with AI, provide 2nd-line support, manage laptops/AV/printers, and assist onboarding/offboarding. Collaborate with IT and engineering to operate and scale the environment.