The MLOps Field Engineer at Canonical will work with global enterprises to design and implement AI/ML solutions using open source technologies on public and private cloud infrastructures. Canonical, a pioneer in global distributed collaboration and the force behind Ubuntu, seeks a technically skilled and customer-focused engineer to support enterprise adoption of open source innovation.
What You'll Do
- Design ML architectures for external customers during the presales cycle
- 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 them feedback on requirements to influence roadmap
- Work collaboratively with your sales team to reach our common targets
- Engage in global travel up to 30% of time for internal, external events and customer meetings
What We're Looking For
- Exceptional academic track record from both high school and university
- Undergraduate degree in a technical subject or a compelling narrative about your 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
- The 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
Technical Stack
- Ubuntu
- Kubeflow
- MLFlow
- Feast
- DVC
- Kubernetes
- OpenStack
- Spark
- AWS
- Azure
- Google Cloud
- Linux
- Python
- R
- Rust
- Debian
- SQL
- NoSQL
- GPU sharing
- Hybrid cloud infrastructure
- Data processing pipelines
- Multi-cluster distributed training
Team & Environment
- 1200+ colleagues in 75+ countries
- Global Field Engineering team, distributed collaboration model
- Reporting to Enterprise sales leads and product teams
Benefits & Compensation
- 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
- Performance-driven annual bonus or commission
- Additional benefits reflecting company values and ideals
- Balanced programs to meet local needs and ensure fairness globally
Base pay is determined by geographical location, experience, and performance, and is revisited annually (more often for graduates and associates). A performance-driven annual bonus or commission is included.
Work Mode
- Global role with team members across EMEA, Americas, and APAC
- Most colleagues work from home
- Candidates from almost any country accommodated
- Highly flexible; teams meet in person 2–4 times yearly in various global locations
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.
