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CanonicalMLOps Field Engineer
Canonical is recruiting an MLOps Field Engineer to support large companies adopting AI and machine learning with open source tools running on public and private cloud,…
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About This Role
Canonical is recruiting an MLOps Field Engineer to support large companies adopting AI and machine learning with open source tools running on public and private cloud, Linux and Kubernetes. The post belongs to the global Field Engineering team and works closely with enterprise sales leads. The posting is explicit that this is a customer-facing architecture job focused on designing machine learning systems for outside clients, not primarily a software development…
Job Description
Canonical is recruiting an MLOps Field Engineer to support large companies adopting AI and machine learning with open source tools running on public and private cloud, Linux and Kubernetes. The post belongs to the global Field Engineering team and works closely with enterprise sales leads. The posting is explicit that this is a customer-facing architecture job focused on designing machine learning systems for outside clients, not primarily a software development position.
The engineer brings technical insight to customer problems during the presales stage, designing cloud and data architectures and explaining them through solution presentations, demonstrations and training. The technologies named include Ubuntu, Kubeflow, MLflow, Feast, DVC, Kubernetes, Spark and OpenStack. Engineers advise on Ubuntu Pro and open source applications, deploy solutions on premises or on AWS, Azure or Google Cloud, and hand them to support or managed service teams when projects finish. They also pass customer requirements back to product teams and work with sales on shared goals.
Applicants should combine a technical background with a commercial outlook, and have a record in data engineering, MLOps or large-scale data platform work. Intermediate Python ability is required, along with practical knowledge of Linux, virtualisation, containers and networking. The posting asks for professional English and strong presenting skills. Travel abroad for events and customer visits can reach 30% of the time. Canonical notes that colleagues can live in almost any country and that it is growing teams across EMEA, the Americas and APAC time zones.
Responsibilities
- Design AI and machine learning architectures for outside customers
- Support customers during presales with architecture, presentations and training
- Plan cloud infrastructure built on Kubernetes, Kubeflow, OpenStack and Spark
- Deploy solutions on premises or in public clouds
- Advise customers on Ubuntu and related open source applications
- Demonstrate Ubuntu Pro and AI capabilities to prospects and existing clients
- Feed customer requirements back to product teams
- Work with the sales team toward shared targets
Requirements
- Outstanding academic record from school and university
- A technical undergraduate degree or a convincing alternative path
- Track record in data engineering, MLOps or large data platform builds
- Intermediate Python programming skills
- Practical knowledge of Linux, virtualisation, containers and networking
- Commercially minded approach and drive to succeed in business
- Clear written and spoken English, with polished presenting skills
- Ability to travel abroad for up to 30% of the time
Qualifications
- Knowledge of cloud concepts and providers such as AWS, Azure and GCP
- Linux know-how, with Debian or Ubuntu a plus
- Curiosity about open source at enterprise scale, private cloud and AI
- Experience with another programming language such as R or Rust
Core Skills
Benefits
- Largely remote work, with in-person team sprints twice yearly
- USD 2,000 yearly for learning and development
- Pay reviewed each year, with recognition awards
- 40 days of annual leave, covering public holidays and company shutdown periods
- Maternity and paternity leave
- Wellness platform and an assistance programme
- Trips to new places to meet colleagues face to face
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this a software development role?
The posting describes it as customer-facing rather than primarily development work. It centres on designing ML architectures for customers, although the engineer uses Python to build Kubernetes operators and infrastructure code.
Where can this role be based?
Most colleagues work from home. The posting says Canonical is growing teams in EMEA, the Americas and APAC time zones.
How much travel is involved?
The posting says global travel can take up to 30% of the time for events and customer meetings.
What salary is offered?
The posting does not specify a salary. It says base pay depends on factors including location, experience, knowledge and skills.
Sample Interview Questions
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