Top AWS Jobs in London

The Technical Product Manager will manage the development and implementation of digital platforms, focusing on AEM and AWS projects, ensuring alignment with business needs and regulatory compliance while driving product quality and team collaboration.

The Lead DevOps Engineer will automate infrastructure, lead CI/CD pipeline design, manage Kubernetes workloads, and mentor a DevOps team while ensuring high system reliability.

Depop seeks a Senior Machine Learning Engineer for the Ranking team to develop and maintain machine learning systems for personalized rankings. Responsibilities include designing training pipelines, collaborating with ML scientists, and optimizing model serving systems.

The Senior Data Platform Engineer will architect and build a scalable data platform, enabling teams to manage data with self-serve capabilities using modern tools. Responsibilities include developing microservices, leading technical initiatives, and promoting data governance and observability, collaborating with diverse stakeholders, and mentoring team members.

Lead architecture and platform strategy for high-volume, data-intensive distributed systems using Domain-Driven Design. Provide project-embedded consultation, define standards (naming, protocols, patterns), improve platform capabilities, and communicate technical decisions to stakeholders. Drive CI/CD automation, cloud-native operations, and reliability/availability-focused design while selecting third-party components and ensuring security-conscious engineering.

Define and assure architecture artifacts, lead engineering teams as SME, establish architectural guardrails, support senior leaders with cost estimation and planning, and work cross-functionally using agile practices across cloud platforms and architecture frameworks.

Design and deliver scalable cloud data pipelines, ETL/ELT and data warehousing solutions. Work hands-on in Snowflake, Databricks and cloud platforms, translate business requirements into technical designs, optimise queries, and engage with stakeholders across client projects and internal initiatives.

Seeking an experienced Staff Engineer to design software solutions, lead architectural decisions, mentor junior engineers, optimize performance, and guide technical strategy.

Design, build, and deliver large-scale, always-on backend services and data-focused products. Work across cloud platforms, distributed systems, and machine learning pipelines. Participate in design reviews, mentor engineers, and provide technical leadership to improve system reliability, scale, and product impact.

Build and maintain components of production AI systems: RAG and agent workflows, data pipelines, embeddings and retrieval, testing and evaluation, and API integrations. Write Python and SQL for data processing and automation, support cloud deployments, collaborate with research and product teams, and document engineering work while applying best practices for CI/CD, testing, and data governance.

Hands-on AWS Cloud Architect to design and implement cloud platforms, apply best practices, lead onsite client teams, produce documentation and presentations, and drive IaC, container, orchestration and CI/CD solutions across projects.

As a Senior Machine Learning Scientist, you'll improve customer outcomes through automated decisioning using ML and statistical modeling, focusing on credit risk modeling and collaborating with cross-functional teams.

Lead architecture and delivery of cloud data platforms, designing batch and streaming pipelines, data models, and governance. Advise executives, integrate LLMs/AI and MLOps, modernise AWS/Azure/GCP infrastructure, shape technical strategy, and mentor multi-squad teams to deliver business-focused data and AI solutions.

The Senior Database Administrator will manage and optimize MySQL databases for high-performance workloads, ensure security and reliability, and mentor team members.

Lead Machine Learning Engineer to oversee AI projects, guide technical direction, manage teams, and innovate in building scalable ML systems.

Lead the development and deployment of scalable AI systems, mentor junior engineers, and collaborate with teams to solve client challenges.

As a Solutions Engineer, you will manage technical relationships with prospects, understand product capabilities, support customer trials, and drive improvements in sales transitions.

As a Software Engineer in the Core AI team, you will design and operate AI model serving infrastructure, build centralised servers, and improve developer experiences through secure, scalable platforms.

Design, develop, and maintain Amazon Connect contact center solutions and AWS integrations. Build RESTful APIs, design DynamoDB schemas, implement Python-based Lambda functions, manage infrastructure as code, support event-driven architectures, collaborate with UI teams and Amazon Professional Services, troubleshoot issues, and participate in production support and deployments.

The Staff AI Engineer will build, deploy, and maintain AI applications, manage data pipelines, and lead technical designs while mentoring engineers.

Lead the development and support of public cloud platforms focusing on AWS and Azure, ensuring secure, scalable solutions while managing resources and providing BAU support.

The Senior Data Engineer will design and implement data pipelines for fraud prevention, collaborate with teams, and ensure high quality code while participating in agile methodologies.

As a Senior DevOps Engineer at Scribe, you will design and optimize AWS cloud infrastructure, manage CI/CD pipelines, and support product development while ensuring reliability and performance of services.

Transform procurement, cloud and infrastructure data into dashboards, forecasts and insights to support capacity planning, supplier management, cost optimisation and investment decisions. Build ETL pipelines, KPI frameworks and automated reporting, partnering with procurement, finance, engineering and operations and presenting findings to senior stakeholders.

Build and manage multiple datasets, create automated ETL pipelines, integrate datasets, and ensure data quality for QRT's research and trading platform.