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MLOps Field Engineer - Canonical - Worldwide

MLOps Engineer

Posted: April 17, 2026
Posted 83 days ago
Last seen in crawl: July 7, 2026 (1d ago)
Estimated Expiry: May 22, 2026
Location
Remoteness
Role & Management
Role Level:Mid-Level
Job Type
Required Languages

Job Description

Canonical offers a distributed workplace for self-motivated colleagues. Maintain a home office, travel for team and customer engagements, and work on cutting-edge AI/ML infrastructure projects worldwide. The role involves designing cloud solutions, deploying open source data platforms, and collaborating with sales and product teams.

Company Information

Current open roles at Canonical on JobCrawls
LocationActive listings
Remote - Global114
Remote - EMEA54
Remote - Worldwide14
Remote - Europe13
Remote - Americas8
Remote - APAC1
Remote - AMER1
Remote - Africa1
Remote - Middle East1
Anywhere in EMEA1
London, UK1
Current role mix at Canonical on JobCrawls
Role typeActive listings
Software Engineer25
Engineering Manager11
Product Manager8
Sales Development Representative7
Customer Success Manager5
Human Resources Specialist4
Product Marketing Manager4
UX Designer3
Partner Sales Manager3
Linux Kernel Engineer2
Design Manager2
HR Generalist2
Software Developer2
Golang Software Engineer2
Linux Enablement2
Sales Director2
Data Infrastructure Engineer2
System Software Engineer2
Partner Sales Director2
Site Reliability Engineer2
Talent Scientist2
Marketing Manager2
GitOps Engineer1
Cloud Support Engineer1
Rust Engineering Lead1
Software Architect1
Embedded Linux Consultant1
NetSuite Engineer1
Information Systems Architect1
Distributed Systems Testing1
Accountant1
Security Risk Management1
IoT Data Engineer1
Cloud Solutions Manager1
Embedded Linux Engineer1
Linux Devices Software Engineer1
Containerization & Virtualisation Engineer1
Developer Relations Engineer1
User Science1
Salesforce/NetSuite Engineering Manager1
Partner Marketing Manager1
Sustaining Operations Engineer1
Partner Sales Executive1
Global Alliance Director1
Security Engineer1
Senior Communications Specialist1
Ubuntu Engineering Lead1
Enterprise Account Executive1
Software Platform Engineering Manager1
Graduate HR Generalist1
Enterprise Open Source Sales Manager1
Software Alliances Director1
Growth Engineer1
Technical Alliance Manager1
Data Platform Engineer1
Threat Intelligence Lead1
Security Operations Engineer1
Ecosystem Development Manager1
Junior Data Engineer1
Accounts Receivable Clerk1
Content Marketing Team Manager1
Business Services Team Manager1
Project Manager - Ubuntu Embedded Systems1
Enterprise Sales / Alliances1
Senior Search Lead1
Web Frontend Engineer1
Performance Engineer1
Linux Cryptography and Security Engineer1
Senior HR Generalist1
Treasury Analyst1
Lead Python Software Engineer1
Telecom Account Executive1
Cloud Engineering Manager1
Site Reliability Engineering Manager1
IoT Solutions Architecture1
IBM Global Alliance Director1
Linux Software Engineer1
Salesforce Engineer1
Software Engineering Manager1
Networking Software Engineer1
Financial Analyst1
Graphics and Windowing System Software Engineer1
Linux Platform Integration1
Python Engineer1
Embedded IoT System Engineer1
Golang Engineering Manager1
Marketing Specialist1
Talent Science1
Junior Ads Specialist1
OpenStack Engineering Manager1
Python Engineering Manager1
Regional HR Manager1
Security Operations1
Tax Senior Associate1
Engineer1
Cloud Alliances1
Product Manager - Cloud1
Linux Systems Engineer1
Data Governance Engineer1
Web Developer1
Current role-level mix at Canonical on JobCrawls
Role levelActive listings
Mid-Level167
Senior15
Manager7
Junior1
Intern1
Mid-level1

Canonical appears in 209 indexed job postings in JobCrawls' Finland dataset since October 2023. In that historical index, the strongest location signals for this employer are Remote - Global, Remote - EMEA, and Remote - Worldwide.

Data shown is based on historical job postings from our database.

Job Details

Responsibilities

  • Designing ML architectures for customers
  • Deploying AI/ML solutions on cloud platforms
  • Collaborating with sales and product teams
  • Travel up to 30% for customer and internal events

Requirements

  • Experience in data engineering, MLOps, or big data solutions deployment
  • Experience with Python, R, or Rust
  • Linux, virtualization, containers, networking knowledge
  • Cloud computing concepts & platforms (Kubernetes, AWS, Azure, GCP)

Skills & Technologies

PythonKubernetesLinuxCloud platforms

Education Level

None required
1 day agoPartial Schema

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