MLOps Field Engineer

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is 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 a 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 enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We work to create the world's best open source data platform, covering traditional SQL databases, NoSQL data stores, and the machinery that turns data into insights and executable models.

Location

Most colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so we 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 the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure‑as‑code.

• Work across the entire Linux stack, from kernel, networking, storage, to applications
• Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark
• Deliver solutions either on‑premise or in public cloud (AWS, Azure, Google Cloud)
• Collect customer business requirements and advise them on Ubuntu and relevant open source applications
• Grow a healthy, collaborative engineering culture in line with the company values
• Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients
• Liaise with product teams to give feedback on requirements to influence roadmap
• Work collaboratively with your sales team to reach common targets
• Global travel up to 30% of time for internal, external events and customer meetings

What we are looking for in you

• Exceptional academic track record from high school and university
• Undergraduate degree in a technical subject or a compelling narrative about an alternative chosen path
• Experience in data engineering, MLOps, or big data solutions deployment
• Experience with a relevant programming language, like Python, R, or Rust
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Demonstrated personal interest in continuous learning and development
• Practical knowledge of Linux, virtualization, containers and networking
• Business‑minded technology thinker and problem solver
• Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP
• Interest in large‑scale enterprise open source—private clouds, machine learning and AI, data and analytics
• Intermediate level Python programming skills
• Passion for technology evidenced by personal projects and initiatives
• Work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• A dynamic person who loves to jump in new projects and interact with people
• Appreciative of diversity, polite and effective in a multi‑cultural, multi‑national organisation
• Thoughtfulness and self‑motivation
• Result‑oriented, with a personal drive to follow up and meet commitments
• Ability to travel internationally for company events up to two weeks long, and customer or industry meetings

What you'll learn

• Architect and deploy AI/ML infrastructures, data processing pipelines and multi‑cluster distributed training
• Wide range of open source applications and skills
• Work directly with customers in a range of different businesses
• Real‑life and hands‑on exposure to a wide range of emerging technologies and tools

What we offer colleagues

• Distributed work environment with twice‑yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• 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

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open‑source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.