Top AWS Jobs in London

The Partner Sales Cloud Specialist drives partnerships with AWS and Google Cloud, focusing on co-sell execution, marketplace growth, and partner-led pipeline management. The role involves building relationships, coordinating campaigns, and enabling system integrators to advance Redis opportunities.

The Analytics Engineer will design and maintain Power BI dashboards, implement data models, and collaborate with stakeholders to ensure data solutions meet organizational objectives.

Lead the Chem-Bio engineering team, setting technical standards and managing resources to develop reliable systems and platforms that support research initiatives.

Lead a full-stack engineering team to deliver AI/GenAI-enabled SaaS features. Manage project delivery, Agile processes, stakeholder dependencies, team development, production reliability, and technical roadmap in partnership with architects and data science.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Design, build, and maintain scalable, highly available cloud infrastructure and internal tooling (TypeScript/Python on AWS). Own CI/CD, IaC, databases and ETL reliability, drive automation and security best practices, and support SecOps activities.

Define and scale the AI platform infrastructure at Connectly to optimize conversational AI agents. Collaborate with technical teams for platform services, integration, and analytics.

Lead deployment of North product in private cloud environments, partnering with clients to assess infrastructure needs and resolving technical issues effectively.

Design, build, and maintain scalable backend services and APIs using Node.js/TypeScript. Optimize PostgreSQL queries, ensure high-volume performance, implement secure JWT-based authentication, and collaborate cross-functionally across product, frontend, and QA throughout the SDLC.

Design, develop, and manage cloud infrastructure for a SaaS product. Lead implementation of cloud services, mentor team members, and improve CI/CD processes.

Design and build backend systems for a flexibility engine, collaborating across teams and ensuring reliability for live deployments. Requires experience in distributed systems and maintainable code.

As a Mid-Level Backend Engineer, you'll enhance the reliability, observability, and scalability of the EVC platform by building API integrations, improving system performance, and strengthening infrastructure.

As a Machine Learning Ops Engineer, you'll develop and implement features for data-driven pricing, ensure ML system reliability, and establish MLOps practices including CI/CD. You'll collaborate with cross-functional teams and conduct model validations to enhance revenue strategies for hotels.

The MLOps Engineer will develop and implement machine learning features, establish MLOps practices, and ensure the reliability of ML systems for improving hotel revenue strategies.

As an MLOps Engineer, you will develop and implement ML features for pricing strategies, maintain MLOps practices, and ensure the performance and reliability of ML systems.

As an MLOps Engineer at Cloudbeds, you'll develop and implement machine learning features for revenue optimization, establish MLOps practices, and ensure the reliability and performance of ML systems.

As an MLOps Engineer, you'll build and implement features enhancing data-driven pricing for hotels, ensuring reliability and scalability of ML systems, streamline data pipelines, and collaborate with teams for impactful revenue growth.

The MLOps Engineer will develop and implement machine learning features for revenue optimization, establish MLOps practices, and ensure the reliability of ML systems throughout their lifecycle.

As a Machine Learning Ops Engineer, you will develop features enhancing revenue strategies, establish MLOps practices, and ensure reliable ML systems.

The Product Manager will own the product roadmap for Customer Experience Automation and Analytics, collaborating with cross-functional teams to deliver solutions that meet customer needs and business goals, while monitoring market trends.

The Staff Software Engineer will lead the design and development of a scalable network data platform for Confluent Cloud, focusing on performance, reliability, and security while managing complex software projects across teams.

As a Senior Data Engineer, you will build and optimize data pipelines, enhance AWS data infrastructure, and collaborate with teams to deliver reliable data solutions.

As a Senior II Data Engineer, you'll build and own ingestion pipelines and data lakes, ensure data quality, and lead cross-functional initiatives for analytics and ML applications.

As a Senior Data Engineer, you will design and manage data ingestion pipelines, ensuring scalability, reliability, and quality of data for analytics and machine learning purposes. You'll collaborate with cross-functional teams to define data standards and governance while promoting self-service and standardization across the organization.

The role involves developing end-to-end full stack applications using Java and Spring Boot, along with modern frontend frameworks and AWS services. The engineer will mentor junior staff and employ best practices while adhering to agile methodologies.