Opportunity overview
What you should know
We checked this opportunity from Canonical. It is listed as Worldwide.
The work location is Most countries across Europe, the Middle East and Africa, Americas and Asia-Pacific. Salary reported as Salary not included in the job posting — amount requires confirmation.
Job description
About this role
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as the machinery which turns data into insights and executable models. The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It is not a software development role. This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple Kubernetes clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day. Location : Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country. What your day will look like The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with Job description: Home based - Worldwide
The description, responsibilities and qualifications used for this page and its JobPosting data appear above. Use the application action in the Job snapshot to confirm any later changes before applying.
Why you may be eligible
The source says applicants worldwide may apply. You should still confirm time-zone, work-authorization and experience requirements.
About the employer
Canonical
Canonical publishes Ubuntu and develops open-source technology used across cloud, enterprise, IoT and AI environments.
This opportunity was checked against a direct Canonical careers listing.
Career Studio · Early access
Want help preparing your application?
Use this job to tailor your CV and prepare a focused cover letter based on the employer’s requirements.
- Job-specific CV guidance
- Focused cover-letter draft
- You review, edit and submit it yourself
How this listing was checked
- Source status
- Applicant-tracking source confirmed
- Employer or source
- Canonical
- Source checked
- September 8, 2026
- Application destination
- Employer or official applicant-tracking website
- Work setup and location
- Remote · Most countries across Europe, the Middle East and Africa, Americas and Asia-Pacific
- Who can apply
- Worldwide · Partially confirmed — review details
- Pay
- Not stated by employer
- Deadline
- Not stated by employer
We check the source and visible requirements, but the employer controls changes and the final hiring decision. Confirm the latest requirements before applying.