Top AWS Jobs in London

The Senior Software Engineer develops AI-driven applications, collaborates with teams, and contributes to creating specialized AI assistant technology using various programming languages and frameworks.

As a Lead DevOps Engineer, you will build and deploy cloud-based infrastructure, automate deployments, and lead a team in delivering secure environments for data analytics using various technologies.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

This role invites speculative applications for various tech positions. Candidates with skills in Salesforce, DevOps, AWS, and user experience are encouraged to apply.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

This role ensures DevOps squad achieves technical excellence in CI/CD and automation, mentoring engineers, maintaining platform resilience, and making technical contributions.

The Lead Specialist Solutions Architect will provide technical leadership and expertise to strategic partners using Databricks to develop data and AI solutions, focusing on solution design, best practices, and partner enablement.

The Senior DevOps Engineer will manage Google Cloud infrastructure, CI/CD, observability, and FinOps while collaborating across teams to solve technical challenges.

The Senior Platform Engineer will manage Google Cloud infrastructure, enhance CI/CD processes, and improve observability while promoting a FinOps culture.

The Staff Software Engineer will design system architectures, write production code, mentor engineers, ensure system performance, and lead technical discussions.

The Platform Engineer will design and maintain cloud-native infrastructure for AI procurement solutions, ensuring security and automation while collaborating with development teams.

The FinOps Engineer will optimize cloud costs and resources, implement strategies using FinOps tools, and guide clients on cost-effective solutions.

As a Senior Cloud Engineer, you'll lead the build and operation of secure AWS platforms and collaborate with stakeholders on cloud transformation projects.

Manage and improve infrastructure for ID verification solutions, automate deployment processes, collaborate with security teams, and mentor engineers.

As a Principal Software Engineer, lead the development of anti-spam scanning technology, mentor engineers, and optimize AWS-based Java services through microservices architecture, CI/CD, and Infrastructure as Code.

As a Machine Learning Engineer, you'll develop ML and GenAI solutions, deploy algorithms, monitor performance, and foster a collaborative data culture while identifying opportunities for impact.

As a Senior Python Developer, you will innovate solutions for online shoppers, collaborate with teams, and work on scalable products.

As a Senior Backend Engineer, you'll build scalable data systems for analytics, design distributed infrastructure on AWS, and deliver impactful customer-facing features. You'll drive technical innovation and collaborate across teams to optimize risk portfolios for insurers.

Provide technical pre-sales support, deliver client presentations, prepare proposals, and collaborate with product management and marketing to enhance client solutions.

The Account Executive will drive sales by guiding engineering leaders toward cloud solutions, owning the sales cycle, and collaborating closely with leadership.

The CTRM Architect will design and implement solutions in the ETRM domain, ensuring alignment of business needs with IT strategies and technical leadership.

The Applied AI Engineer will onboard customers, deploy AI applications, and collaborate with teams to resolve technical challenges and drive technological transformation.

The Principal Software Engineer leads digital product delivery, mentors teams, advocates technology adoption, and consults with clients on technology strategy.

The AI Infra Engineer will design, deploy, and optimize AI training and inference infrastructures using Kubernetes and Slurm while developing APIs and managing distributed systems.

The role involves designing and building backend services, UI components, and integrations, while maintaining solid infrastructure practices and contributing to team collaboration.