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MLOps Field Engineer at Canonical

Confirmed open

Customer-facing MLOps architecture role using Ubuntu, Kubernetes, Kubeflow and public or private clouds, with technical demonstrations and up to 30% travel.

Canonical logoCanonical
Location
Home based - Worldwide
Work arrangement
remote
Technologies
Python, AWS, Azure, GCP, Kubernetes, SQL, Linux

Role overview

This field engineering role helps enterprises design AI and machine-learning infrastructure during the presales process. It centres on customer requirements, architecture, demonstrations and deployment rather than internal model research. Canonical describes home-based teams across EMEA, the Americas and APAC, with international travel up to 30% for customer and company events.

Responsibilities

  • Gather business and technical requirements and advise customers on Ubuntu and open-source AI/ML software.
  • Architect and deploy data-processing, ML and cloud infrastructure using Kubernetes, Kubeflow, OpenStack, Spark and related tools.
  • Deliver solutions on premises or on AWS, Azure and Google Cloud, then test and hand them to support or managed services.
  • Present Ubuntu Pro and AI/ML demonstrations to prospective and existing customers.
  • Work with sales leads, relay customer requirements to product teams and support shared commercial goals.

Qualifications

  • Experience deploying data engineering, MLOps or big-data solutions, plus programming in a language such as Python, R or Rust.
  • Practical Linux, virtualisation, containers, networking and cloud knowledge; Kubernetes and AWS, Azure or Google Cloud are relevant.
  • Business-minded problem solving and professional English presentation skills for customer conversations.
  • Familiarity with machine-learning infrastructure, private clouds and analytics applications.
  • Technical degree or a convincing alternative path, strong record of learning and ability to travel for customer and company meetings.

Benefits

  • Home-based distributed work with twice-yearly in-person team gatherings.
  • A stated USD 2,000 yearly learning budget, compensation reviews and recognition rewards.
  • Annual and parental leave, employee assistance and travel opportunities for company events, subject to the applicable local programme.

About Canonical

Canonical publishes Ubuntu and develops open-source products for cloud, AI, connected devices and enterprise infrastructure. It describes most engineering roles as home based, with periodic in-person team gatherings.

How to apply

Review the original posting and apply through the employer’s careers page.

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Source checked: 2026-09-29

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