AI & ML Software Engineer

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyse, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Build the next generation of AI-powered software for the world's largest supercomputers and AI infrastructure.

From scientific discovery to next-generation AI, the world's most advanced computing systems power breakthroughs that shape the future. Join a team building observability, analytics, and AI-driven operations software that helps keep these systems resilient, performant, and running at scale.

• Design and build AI/ML capabilities for anomaly detection, root cause analysis, forecasting, automation, and operational intelligence.
• Develop production-quality software and services using Go, Python, React, and related technologies
  .
• Build and integrate AI solutions including machine learning models, LLM-powered workflows, agentic systems, and advanced analytics.
• Work across the full lifecycle of solution development, including data engineering, model development, evaluation, deployment, monitoring, and continuous improvement.
• Collaborate with software engineers, architects, product managers, and customers to solve complex operational challenges at scale.
• Drive technical innovation and help shape the next generation of AI-powered operations for large-scale computing environments.

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyse, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Build the next generation of AI-powered software for the world's largest supercomputers and AI infrastructure.

From scientific discovery to next-generation AI, the world's most advanced computing systems power breakthroughs that shape the future. Join a team building observability, analytics, and AI-driven operations software that helps keep these systems resilient, performant, and running at scale.

• Design and build AI/ML capabilities for anomaly detection, root cause analysis, forecasting, automation, and operational intelligence.
• Develop production-quality software and services using Go, Python, React, and related technologies
  .
• Build and integrate AI solutions including machine learning models, LLM-powered workflows, agentic systems, and advanced analytics.
• Work across the full lifecycle of solution development, including data engineering, model development, evaluation, deployment, monitoring, and continuous improvement.
• Collaborate with software engineers, architects, product managers, and customers to solve complex operational challenges at scale.
• Drive technical innovation and help shape the next generation of AI-powered operations for large-scale computing environments.

• Strong software engineering fundamentals and experience building production systems.
• Familiarity with technologies such as Go, Python, and React
  , or the ability to quickly become productive in similar technologies.
• Experience building large-scale distributed systems
  , observability platforms, infrastructure software, or operational tooling.
• Experience applying…