Top AWS Jobs in London

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.

Lead cloud cost visibility, optimisation, and governance across a multi-million-euro cloud estate. Maintain tagging and allocation, drive commitment/discount strategy, build FinOps reporting and dashboards, improve forecasting and budgeting, identify waste and rightsizing opportunities, define cloud efficiency KPIs, and investigate cost anomalies while partnering with engineering and finance.

Build and maintain backend tools for AGI safety research: eval libraries, orchestration for parallel agentic evaluations, LLM proxy and telemetry, CI optimizations, data warehousing, and researcher-facing tooling. Lead feature development, collaborate with researchers, and promote good software design and reliability.

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.

Lead architecture and development teams to deliver end-to-end solutions, drive business development and client relationships, shape architectural strategy across domains, and coach team members while launching new service propositions and supporting growth.

Senior technical leader for the Cloud & Infrastructure practice who shapes solution strategy, guides technology choices, supports Professional and Managed Services, builds service offerings, mentors teams, standardises operating procedures and documentation, and oversees demo/training lab environments and vendor/customer relationships.

The Infrastructure Specialist will support, maintain, and enhance core infrastructure, ensuring systems' reliability and optimal performance, resolving complex technical issues, and collaborating on IT initiatives.

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 Senior Software Engineer, you will lead technical solutions, analyze requirements, design and develop software, conduct peer reviews, and improve existing code in an Agile environment.

Responsible for designing and delivering backend services in Scala, focusing on AWS cloud-native development and engineering excellence. Leads technical direction and ensures high-quality outcomes through collaboration and best practices.

Manage and lead the CDSClear Clearing Platform engineering team in London, delivering market connectivity, trade registration, life‑cycling and reporting solutions. Oversee SDLC delivery, third‑line production support, cross‑functional collaboration, continuous improvement and platform modernisation using automation and AI tooling.

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.

Lead reliability and operability improvements across backend services and mobile integration. Drive incident response, observability, runbooks, safer deploy patterns, post-incident reviews, and mentor engineers to improve production ownership and stability.

Own and evolve Feeld's React Native mobile architecture, drive performance and cross‑platform quality, improve delivery systems and observability, lead platform initiatives, mentor other engineers, and enable product teams to ship faster and more reliably.

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.

Lead integration of BMS, IoT devices and facility systems into cloud platforms (AWS/Azure/GCP). Configure cloud ingestion pipelines, ensure data security and integrity, validate device protocols (BACnet, Modbus, MQTT, OPC UA) and UDMI compliance, perform testing and troubleshooting, generate analytics and reports, mentor junior engineers, and collaborate with IT, security, and facilities teams to deliver digital building solutions.

As a Senior Staff Software Engineer, you will architect scalable APIs, lead partner integrations, and drive engineering velocity while ensuring security and enterprise trust in DeepL's offerings.

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