Top AWS Jobs in London

Lead the development of machine learning models to predict delivery risks, integrate insights into dashboards, and collaborate with stakeholders for data-driven decision making.

Develop enhancements for quantitative, data-intensive products, improve service models, support live runs, and optimize solutions based on client outcomes.

Lead the AI Engineering squad, driving the design and deployment of production-grade AI systems to enhance business value while ensuring compliance and best practices.

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.

As a Senior Machine Learning Engineer, you will lead the development of AI systems, design production-grade ML software, and mentor junior engineers while engaging with clients on technical strategies.

Design, build and maintain full-stack features across mobile, web and serverless backends. Mentor engineers, take technical ownership of projects, collaborate with product and design, support apps through their lifecycle, and work directly with external clients to deliver solutions.

Lead end-to-end development of core product areas: discover, design, build, deploy, and drive customer adoption. Ship scalable APIs, backend services, streaming/event-driven systems, and polished frontends. Work closely with product, design, and commercial teams, talk to customers, mentor engineers, champion best practices (testing, observability, CI/CD, IaC), and apply AI coding tools to accelerate delivery and shape product direction.

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.

Support senior architects to design and document scalable, secure data architectures. Translate business requirements into data models, define data flows and integration patterns, support Agile delivery teams, ensure governance and security considerations, and contribute to data engineering and automation while developing architectural skills.

The Data Solution Architect will lead the design and implementation of data solutions, advocate for data-centric practices, ensure data privacy, and collaborate across teams to improve data ecosystems.

The Software Engineer will contribute to the Back End Trading/Transactions team, building and optimizing financial software, and ensuring high-quality code delivery.

The Principal Architect in Technology Consulting leads the delivery of AWS solutions, engages in requirements analysis, and collaborates with teams to enhance project processes involving AWS services.

As the Head of Machine Learning Engineering, you will define the ML strategy, lead teams, deliver scalable solutions, and shape AI governance for enhanced customer travel experiences.

As a Junior Ruby Engineer, you'll develop backend features for millions of travelers, write clean Ruby code, engage in code reviews, and collaborate with teams while growing your skills in modern engineering practices.

The Senior Internal Audit Manager - Technology leads technology cyber audits, ensuring IT risk management and operational resilience across the Ebury Group, while mentoring the audit team and maintaining stakeholder relationships.

As a DevOps Engineer, you will design, build, and maintain automation, tooling, and cloud infrastructure for software delivery. Responsibilities include CI/CD management, cloud infrastructure design, container orchestration, and security practices. Collaboration with development and operations teams is essential for continuous improvement and system reliability.

Support clients integrating with CRS products by troubleshooting API issues and collaborating with engineering teams. Create documentation and assist in customer interactions.

The role involves building and maintaining critical systems for AI inference, optimizing compute efficiency, and supporting research and deployment of AI models.

The role involves supporting tech leadership through onboarding programs, vendor coordination, document synthesis, and initiative management to improve operational efficiency.

Lead cross-functional architecture initiatives, focusing on eCommerce systems, while mentoring teams and ensuring migration strategies align with business goals.

Operate and support Kafka clusters (MSK and on-prem), manage Kafka Connect ecosystem (Debezium, KSQL, Schema Registry), troubleshoot producers/consumers, implement HA/backup strategies, automate provisioning (IaC/scripting), monitor and tune cluster performance, support incident response and on-call, and document operational procedures.

The Data Engineer will architect and build data platforms, manage datawarehouses, support production systems, and collaborate with portfolio managers and developers to meet business needs.

The role involves leading application support engineering, enforcing Site Reliability Engineering practices, ensuring system reliability, mentoring teams, and enhancing operational processes.

Lead the transition from a traditional SaaS architecture to an AI-native system, build a full-stack application, and develop document ingestion tools for property lending.

Lead the transition from PostgreSQL monolith to an event-driven microservices architecture while building core AI tools for a high-traffic platform.