Top AWS Jobs in London

The Senior Manager, Financial Risk is responsible for developing and governing quantitative risk models, managing stress testing frameworks in a cloud environment, and providing insights on market risks while leading a team of quantitative professionals.

The Senior Data Engineer will develop and maintain data architectures in Snowflake, optimize data pipelines, uphold data quality standards, and manage multiple projects while ensuring data integrity and performance.

The Principal Solutions Engineer will collaborate with various teams to align efforts across sales, provide expertise in cloud-native security, and assist with product demonstrations and customer engagements.

As a Game Designer for Brookhaven, shape player experiences by designing systems and features from player data and feedback, collaborating with various teams to enhance gameplay and monetization.

Lead the Luna data team as a technical practice lead, focusing on migrating data from Redshift to AWS RDS while mentoring team members in Python and DataOps practices.

The Backend Engineer will stabilize and evolve event-driven architecture, optimize Node.js microservices, and manage Kafka implementation and cloud deployments.

As Internal Security Engineer, you'll build security infrastructure, implement security measures, ensure compliance, and automate security operations while collaborating with engineering teams.

As a Security Research Engineer, you will analyze AI-generated vulnerability findings, conduct research on cloud security threats, and lead data labeling operations to enhance machine learning models.

As a Software Engineer at Stripe, you will scope, design, and build APIs for money management, mentor engineers, and collaborate with cross-functional teams to enhance internal processes and features.

As a Senior AI Engineer at DATAPAO, you will lead AI projects, provide ML consultancy, and act as a client interface, ensuring high-quality delivery while mentoring teams.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

As a Senior Software Engineer, you'll develop high-quality software solutions, mentor junior members, apply best practices in design and build, and contribute to technical decisions in a collaborative environment.

Lead the development and deployment of AI systems, designing scalable ML software and infrastructure while mentoring junior engineers and advising clients.

The AI Solutions Director at Nearform leads AI solution development, strategic partnerships, and pre-sales engagements, leveraging deep AI expertise to drive measurable business impact for enterprise clients.

The Senior Software Engineer will manage full software development life cycle, focusing on data engineering, project leadership, code quality, and customer-centric development.

As a Lead QA Engineer, you will oversee test activities, design and execute tests, communicate with stakeholders, and document results. Key responsibilities include reviewing requirements, producing test reports, and collaborating on testing strategies in an agile environment.

Lead benchmarking, performance analysis, capacity sizing, and optimization for ClickHouse Cloud. Troubleshoot and tune systems, build tooling for chaos experiments, and collaborate with core, cloud, and security teams to improve scalability, resilience, and performance.

Optimize and integrate AI-powered recommendations into email marketing, ensuring personalized content based on user behavior. Collaborate with developers and data engineers.

The Cloud Alliances Sales Manager will manage strategic relationships with cloud partners, drive joint GTM strategies, and facilitate revenue growth through collaboration.

Design, build, and optimize scalable data platforms across AWS and Azure. Enable data integration and support advanced analytics through cloud-based solutions and DevOps practices.

The Senior Manager, IT will oversee AI product delivery, manage MLOps pipelines, and collaborate with stakeholders to ensure the implementation of AI solutions for commercial applications.

Lead mainframe solutions, design and modernize enterprise IT applications, drive DevOps practices, and act as a trusted technical advisor.

Responsible for delivering discovery work and technical improvements for the API Platform, enhancing developer experience, and collaborating with cross-functional teams.

The role involves AI research and development, applying deep learning and NLP for personalized learning, collaborating with various teams, mentoring peers, and contributing to ML best practices.

Design and develop a centralized machine learning platform, build and scale infrastructure for model training and deployment, and collaborate across teams to enhance MLOps practices.