RU

Machine Learning Engineer

Toronto, Ontario
On-site
Full-time
No salary posted5 days ago
Employment type
Full-time · On-site
Posted
November 8, 2026
NOC code
21211 — Data scientists
Province
Ontario (ON)More in Ontario

Hiring confidence: Sparse posting · 22/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

This is only part of this posting — the job board it came from publishes a short summary. Read the full posting.
Job Title: Machine Learning Engineer - Senior Job Location: Toronto, ON Job Type: 130 days contract Client: Public Sector Job Title: Machine Learning Engineer - Senior Description The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices. The role will establish reusable deployment patterns, tooling, monitoring, and automation that enable AI solutions to move reliably from development into production a…

This role is based in Ontario. The Canadian NOC code for this position is 21211 — Data scientists. Russell Tobin is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Data Scientist in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

21211 — Data scientists. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.

Typical qualifications for Canadian employers

A master's or bachelor's degree in a quantitative field, plus Python or R, statistical modelling and experience shipping models to production.

Licensing: No licence or registration is required.

All Data Scientist jobs in Ontario

Fit check

Is this role right for you?

Top skills this posting asks for:

  • Machine Learning
  • MLOps
  • AI/Artificial Intelligence

Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.

Scan your resume to see your fit

Keep looking

Similar jobs

What you'll do

  • Deploy AI and machine-learning solutions
  • Integrate ML models into production systems
  • Monitor AI/ML solutions in production
  • Operationalize machine learning systems
  • Establish reusable deployment patterns
  • Build and maintain MLOps tooling
  • Implement monitoring and automation practices
  • Enable AI solutions to move reliably from development to production

What you'll need

  • Experience with MLOps practices
  • Experience deploying and operationalizing ML solutions
  • Experience with modern ML frameworks and tools
  • Experience with monitoring and automation
  • Experience integrating AI solutions into production environments

About the Company

RU

Russell Tobin