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AI/ML and Mlops Field Engineer

Confirmed live in the last 24 hours



1,001-5,000 employees

Provides enterprise Linux and open-source technologies

Enterprise Software


Remote in USA

Applied Machine Learning
AI & Machine Learning
Required Skills
Microsoft Azure
Apache Spark
Data Analysis
Google Cloud Platform
  • 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
  • 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 organization
  • 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
  • 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
  • Global travel up to 25% of time for internal and external events and 25% to customer meetings

Canonical delivers Ubuntu, a widely used enterprise Linux, and a range of open-source technologies such as OpenStack, Ceph, LXD, MAAS, Kubernetes, Juju, and Ubuntu Core. These technologies are designed for reliability, flexibility, and efficiency across cloud and IoT environments, known for their security, scalability, and global community support.

Company Stage


Total Funding



London, United Kingdom



Growth & Insights

6 month growth


1 year growth


2 year growth