Top AWS Jobs in London

As a Pre-Sales Solution Engineer, you will perform technical sales partnership activities, deliver customer demos, manage engagements, and collaborate closely with various internal teams to align solutions to customer needs.

The Platform Engineer will build and scale the infrastructure for AI-driven drug discovery, focusing on Kubernetes management, cloud infrastructure, and automation using Python and Bash.

As a Machine Learning Engineer, you will design, build, and deploy ML systems, manage AI project methodologies, and support delivery with technical expertise, collaborating with cross-functional teams and stakeholders.

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Lead and define AI strategy and initiatives, oversee AI project delivery, partner with stakeholders, and enhance AI literacy within the organization.

The Infrastructure Services Manager leads a global team, overseeing Oracle environments, ensuring compliance, managing patching, and supporting sales efforts while fostering collaboration across various teams.

Develop and maintain highly-scalable backends for a sports betting platform. Collaborate with team on features, support production applications, and mentor juniors.

Lead and mentor a team of data scientists, driving data science best practices and creating data products to enhance gameplay and user engagement.

As a Senior Software Engineer, you'll design scalable backend systems, optimize databases, deploy workloads on AWS, and mentor mid-level engineers.

The Senior Support Engineer resolves complex customer issues, collaborates with engineering for product improvements, and supports enterprise customers with real-time data solutions.

As a Senior DevOps Engineer, you will design, build, and maintain scalable cloud infrastructure, focusing on automation, CI/CD pipelines, and best practices for security and reliability.

As a Data Scientist, you will create and enhance detection models for secure Generative AI adoption, collaborate with teams on data curation, and drive continuous model improvement based on customer feedback.

As a Senior Java Developer, you will develop high-quality solutions, mentor juniors, and contribute to technical decisions in a collaborative environment.

The Senior Solutions Engineer will lead DevOps initiatives, improve infrastructure reliability, define release processes, and collaborate on architectural decisions to enhance automation and performance across the organization.

The Senior MLOps Engineer will operationalize AI and ML models, build pipelines, ensure monitoring and governance of ML workflows, and facilitate collaboration between data science and engineering teams.

The Lead Data Engineer will create MLOps foundations for data science teams, lead a data engineering team, and optimize data-driven advertising processes.

The Associate Director leads Adobe CDP product management, focusing on strategy, implementation, and data integrations while collaborating with marketing and tech teams.

As a Senior Software Engineer, you'll develop RESTful Java APIs, collaborate with cross-functional teams, and enhance software delivery processes while mentoring peers.

Lead QA for web, API, RPA (UiPath) and AI/ML initiatives. Design and execute manual and automated tests, validate IDP workflows, integrate automation into CI, report bugs, and upskill teams in AI/chatbot testing.

The Principal Strategic Architect will guide customers on technology strategy, focusing on AI, automation, and enterprise architecture. Responsibilities include advising executives, defining long-term strategies, managing governance, and driving platform value realization.

The role involves designing, building, and deploying ML systems, supporting stakeholders, and operationalizing AI applications in Defence.

The Associate Solutions Architect will design and integrate global tax and treasury technology solutions, working closely with architects and finance stakeholders to ensure compliance and efficiency in tax operations.

The Deployment Engineer will support software deployment across customer environments, enhance deployment automation, and assist with operational processes, focusing on cloud and on-premise platforms.

The Senior Data Engineer will develop scalable data solutions, build data pipelines, optimize performance for data lakes, and ensure data quality.