Machine Learning Engineer

Toronto, Ontario

On-site

Full-time

No salary posted2 days ago

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Employment type: Full-time · On-site
Posted: September 18, 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

Jobs

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Manulife's bold ambition is to become a digital, customer-first leader. To achieve this, we've made significant investments in Advanced Analytics and AI capabilities. We are seeking an innovative and experienced Machine Learning Engineer to join our AI Data team, a cross-functional group spanning Operations, Technology, and Marketing. Our team's mission is to research, build, and deliver production-grade machine learning and Generative AI capabilities that help us better understand our custome…

This role is based in Ontario. The Canadian NOC code for this position is 21211 — Data scientists. Manulife 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

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What you'll do

Research and develop machine learning solutions
Build production-grade ML and Generative AI capabilities
Work with Operations, Technology, and Marketing teams
Improve customer understanding through AI applications
Design and implement advanced analytics solutions

What you'll need

Experience building and deploying machine learning models
Strong programming skills in ML frameworks
Understanding of AI/ML best practices
Experience with production-grade systems
Cross-functional team collaboration ability