MLOps Field Engineer
CanonicalRemote
Full Time
Posted January 20, 2026
Not Specified
Remote
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Job Description
The MLOps Field Engineer at Canonical is responsible for designing and deploying AI and machine learning infrastructure solutions for enterprise customers, working closely with sales and technical teams to solve complex data architecture challenges using open source tools, cloud platforms, and Kubernetes.
Key Responsibilities
- Design and architect cloud infrastructure solutions for customers using technologies like Kubernetes, Kubeflow, OpenStack, and Spark
- Deploy, test, and hand over cloud solutions on-premise or in public cloud environments such as AWS, Azure, and Google Cloud
- Collect customer requirements and advise on open source applications and infrastructure to meet their needs
- Develop Kubernetes operators and Linux infrastructure-as-code using Python
- Deliver presentations and demonstrations of AI/ML capabilities and open source solutions to clients
- Collaborate with sales and product teams to influence roadmaps and achieve business targets
- Work hands-on with Linux, virtualization, containers, and networking across the entire Linux stack
- Travel internationally up to 30% for customer meetings, events, and internal team activities
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 relevant knowledge
- 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
- 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
- Ability to liaise with product teams to give feedback on requirements to influence roadmap
- Ability to work collaboratively with sales teams to reach targets
- Willingness to travel internationally up to 30% of the time for internal, external events, and customer meetings
- Excellent written and spoken English with strong presentation skills
- Strong interpersonal skills, curiosity, flexibility, and accountability
- Result-oriented with a personal drive to follow up and meet commitments
- Self-motivated and able to jump into new projects and interact with people effectively
- Ability to work in a multi-cultural, multi-national organization with appreciation for diversity
- Willingness and ability to travel for company events up to two weeks long
- Demonstrated personal interest in continuous learning and development
- Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
- Work ethic and confidence to shine alongside motivated colleagues
Benefits & Perks
Compensation/salary range is based on experience, performance, and location, with annual reviews and performance-driven bonuses or commissions
Distributed work environment with most colleagues working from home
Global travel up to 30% for internal, external events, and customer meetings
Personal learning and development budget of USD 2,000 per year
Annual holiday leave
Maternity and paternity leave
Recognition rewards
Team Member Assistance Program
Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
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