Machine Learning Engineer for Next Generation Triggers (NGT) (IT-CD-PI-2026-177-LD)

Introduction: You will develop and operate CERN's next-generation machine learning platform, enabling scientists and engineers to train, deploy and manage AI workloads at scale. Working with cutting-edge technologies including Kubernetes, GPUs and cloud-native tools, you will help build the infrastructure supporting machine learning for the High-Luminosity LHC. Functions: - Develop and operate the NGT machine learning platform, covering model training, hyper-parameter optimisation and serving, targeting optimal usage of detector resources. - Manage cluster resources, integrate new resources, on-premises or via external resources (such as clouds or HPC centers), and optimise resource usage (e.g. via CPU/GPU/RAM affinity layouts) and the existing MLOps workflows to cover deployment, observability and lifecycle management & versioning of models. - Extend the cloud native infrastructure to support advanced workload scheduling, system monitoring & accounting, as well as prompt cost control. - Produce and present reference architectures, documentation and best practices to support CERN users and use cases. - Ensure efficient collaboration with other groups in `IT and in other departments, as well as constant alignment with the evolving landscape of external research and industry organisations. At CERN , the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature.