Top AWS Jobs in London

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

Own availability, performance, scalability and cost-efficiency of Preply's cloud platform. Build automation, observability, alerting and tooling, run on-call rotations, troubleshoot production issues, perform blameless postmortems, collaborate with product teams, and apply FinOps best practices to optimize cloud operations.

Lead end-to-end delivery of cloud, hybrid, and on‑prem infrastructure programmes. Act as senior client liaison, manage multi‑stream teams, own financial performance, enforce governance and RAID controls, ensure service transition, mentor project managers, and drive delivery standards across complex transformations.

Design, operate, and automate cloud-native infrastructure and containerised environments. Build IaC, CI/CD pipelines, and scalable, observable distributed systems while collaborating with product teams to reduce toil and improve reliability.

Develop and maintain research-oriented software and infrastructure for evaluation and model hosting. Implement features for Inspect, support open-weights model hosting, design custom research infrastructure, collaborate with researchers, and debug evaluation systems. Work spans cloud infrastructure, MLOps tooling, and open-source contributions.

Build and operate Kafka and CDC pipelines, help architect an Iceberg-backed Lakehouse, deliver scalable data serving layers, enable self-service analytics, drive data observability, and consult teams on integration, modelling, and schema design.

Design, build and deploy production-grade ML systems and infrastructure. Create reusable, scalable solutions, lead technical scoping and architecture, collaborate with data scientists and engineers, and advise clients and stakeholders on ML feasibility, standards, and delivery.

Design, build, and maintain scalable backend systems and third-party integrations. Develop APIs, services, and event-driven solutions. Participate in architecture and design, ensure system reliability and performance, conduct code reviews, collaborate with Product and external partners, and mentor engineers.

Customer-facing, hands-on engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads architecture, implements data pipelines and ML integrations, delivers measurable outcomes, and creates reusable assets while working with cross-functional teams and enterprise customers.

Own, design, build and maintain backend services for neobanking features (transfers, open banking, savings, payments). Lead end-to-end delivery, migrations, observability, incident response, architecture and code quality. Collaborate with product, design, data, security and operations to ship reliable, regulated fintech features.

The Senior Full Stack Engineer will design and develop scalable backend services, APIs, and infrastructure while collaborating with clients and team members. Responsibilities include end-to-end delivery, Agile methodologies, and participating in a high-performing engineering team.

The Staff Machine Learning Scientist will design, develop, and maintain machine learning models for Depop's fashion resale platform, leading technical initiatives and collaborating across teams to drive innovation in ML solutions.

Lead the design and development of AI solutions for clients, implementing language models and frameworks, mentoring engineers, and evolving internal AI platforms.

Lead the design and development of AI-powered applications, mentor engineers, and collaborate across teams while ensuring high coding standards and deployment in cloud environments.

As a Senior Software Engineer, you'll develop RESTful Java APIs, integrate third-party APIs, collaborate with the project team, identify bottlenecks, and mentor team members.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

As a Lead Data Engineer for the Concorde program, you will design and implement scalable data solutions on AWS and Snowflake, lead data engineering teams, and develop automated data pipelines while collaborating with business stakeholders.

The Engineer, Post Trade is responsible for building cloud-based infrastructure services using event-driven microservices, advanced Java, and agile methodologies, ensuring high-quality engineering throughout the product lifecycle.

As a Senior Software Engineer at Multiverse, you'll build production systems, lead technical initiatives, and enhance AI-driven education solutions. You'll collaborate with a startup-like team focused on creating scalable user-focused features while maintaining high coding standards.

The Technical Solutions Analyst provides technical support and guidance for Heartflow's SaaS technology, ensuring successful implementation and customer satisfaction while resolving complex issues related to healthcare IT.

As the sole Site Reliability Engineer, you will manage and optimize AWS infrastructure, enhance system reliability for a social network with over a million users, and oversee incident response and observability using Datadog.

Lead a small engineering team while building an AI-driven CRM, focusing on coding and technical leadership to scale architecture.

The Full Stack AI Engineer will develop and deploy features using Next.js, Node.js, and Python, integrate AI APIs, and enhance user experience for creative automation tools.

Join a high-performing team to develop new features in React and TypeScript, enhancing web applications for the rental market while ensuring code quality and collaboration.

The Founding Engineer will develop a security product using C#, .NET Core, and Terraform, collaborating with a small team to deliver high-quality solutions quickly.