MLOps Field Engineer

Canonical, the company behind Ubuntu, is hiring an MLOps Field Engineer to help global companies embrace AI and ML in their business using the latest open source capabilities on public and private cloud infrastructure. Canonical is a leading provider of open source software and operating systems with 1200 or more colleagues in 75 or more countries. The role involves working across the entire Linux stack from kernel to applications, architecting cloud infrastructure solutions like Kubernetes, Kubeflow, and OpenStack and Spark, delivering solutions either on-premise or in public cloud including AWS, Azure, and Google Cloud, collecting customer business requirements and advising on Ubuntu and relevant open source applications, delivering presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to clients, and liaising with product teams to provide feedback on requirements. This role is focused on designing ML architectures for external customers and working closely with enterprise sales leads to solve the most difficult problems in modern data architectures. Requirements include experience in data engineering, MLOps, or big data solutions deployment, experience with a relevant programming language such as Python, practical knowledge of Linux, virtualization, containers, and networking, knowledge of cloud computing concepts and leaders such as Kubernetes, AWS, Azure, and GCP, and intermediate Python programming skills. The role involves up to 30 percent international travel.