MLOps Field Engineer

Canonical

Remote

Full Time

Posted April 3, 2026

Not Specified

Remote

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Job Description

The MLOps Field Engineer role involves designing and deploying AI and machine learning infrastructure solutions for enterprise customers, working with open source technologies on cloud and on-premise environments, and providing technical expertise through customer engagement, presentations, and hands-on implementation.

Key Responsibilities

Design and deploy AI/ML infrastructure solutions for customers using open source technologies on cloud and on-premise environments
Work hands-on with cloud solutions such as Kubernetes, Kubeflow, OpenStack, and Spark, including deploying, testing, and handing over solutions
Collect customer requirements and advise on suitable open source applications and cloud architectures
Develop Kubernetes operators and Linux infrastructure-as-code using Python
Deliver presentations and demonstrations of AI/ML capabilities to clients
Collaborate with sales and product teams to influence roadmaps and achieve business targets
Travel internationally up to 30% for customer meetings and industry events

Requirements

Exceptional academic track record from both high school and university, or a compelling narrative about an alternative chosen path
Undergraduate degree in a technical subject or equivalent experience demonstrating technical proficiency
Experience in data engineering, MLOps, or big data solutions deployment
Experience with a relevant programming language, such as Python, R, or Rust
Practical knowledge of Linux, virtualization, containers, and networking
Knowledge of cloud computing concepts including Kubernetes, AWS, Azure, and Google Cloud Platform
Intermediate level Python programming skills
Experience with Linux Debian or Ubuntu preferred
Ability to collect customer business requirements and advise on Ubuntu and relevant open source applications
Ability to deliver presentations and demonstrations of Ubuntu Pro and AI ML capabilities to prospective and current clients
Excellent written and spoken English with strong presentation skills
Ability to work collaboratively with sales teams and other stakeholders
Willingness to travel internationally up to 30% of the time for internal, external events, and customer meetings
Result-oriented with a personal drive to follow up and meet commitments
Self-motivated, curious, flexible, and accountable with a strong work ethic
Effective interpersonal skills and ability to interact effectively in a multi-cultural, multi-national organization
Thoughtfulness and self-motivation to learn continuously and develop professionally