Machine Learning Engineer
Toronto, ON, CAN
- Pay
$80,000–175,000/yearAnnual period assumed — pay source
Salary: $80,000.00 - $175,000.00 Pay Type:
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and build machine learning and deep learning systems
Run ML tests and experiments, then statistically analyze and interpret results
Retrain models to prevent drift and optimize results
Improve data pipelines and lakes so data is clean and ready for models
Develop ML algorithms that predict from large volumes of historical data
From the employer’s posting
Designs and develops machine learning (ML) and deep learning systems.
Runs tests, performs statistical analysis, and interprets test results.
Trains and retrain systems to prevent drift and optimize results.
Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models.
Develops ML algorithms to analyze huge volumes of historical data to make predictions.
What you’ll bring
All qualificationsCore experience
- About 5 to 7 years of relevant experience
- Advanced skills in machine learning and deep learning
- Advanced programming and computational thinking
- Experience scaling models and CI/CD deployment
- Post-secondary degree in a related field or equivalent experience
Qualification wording
Typically between 5 - 7 years of relevant experience
Advanced level of proficiency: Computational Thinking and Programming. Deep Learning. Machine Learning.
Advanced level of proficiency: Computational Thinking and Programming.
Scaling Models. Continuous Integration and Continuous Delivery/Deployment.
post-secondary degree in related field of study or an equivalent combination of education and experience
About Bank of Montreal
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Sep 18, 2026 · 41 days ago
- Recorded sightings
- 124
- Last seen by us
- Oct 29, 2026
- Reposted
- once since Aug 20, 2026
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Job description
Application Deadline:
Address:
100 King Street WestJob Family Group:
#AIJobsAtBMO
Researches, builds, and implements scalable artificial intelligence systems capable of learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors, evaluates, and optimizes learning processes to continuously improve high-performance models. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.
Designs and develops machine learning (ML) and deep learning systems.
Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and optimize results.
Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.
Develops Machine Learning apps, implements algorithms, and builds tools to apply ML frameworks.
Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Develops ML algorithms to analyze huge volumes of historical data to make predictions.
Runs tests, performs statistical analysis, and interprets test results.
Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
Provides specialized consulting, analytical and technical support.
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works independently and regularly handles non-routine situations.
Broader work or accountabilities may be assigned as needed.
Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.
Qualifications:
Foundational level of proficiency:
Systems Thinking.
Intermediate level of proficiency:
Mathematics, Statistics & Operations Research.
Critical thinking.
Creative reasoning.
Verbal & written communication skills.
Collaboration & team skills.
Analytical and problem solving skills.
Data driven decision making.
Advanced level of proficiency:
Computational Thinking and Programming.
Deep Learning.
Machine Learning.
Scaling Models.
Continuous Integration and Continuous Delivery/Deployment.
ML algorithm.
Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Deep knowledge and technical proficiency gained through extensive education and business experience.
Salary:
Pay Type:
The above represents BMO Financial Group’s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.
BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://jobs.bmo.com/ca/en.
BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
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- Pay
Salary: $80,000.00 - $175,000.00 Pay Type:
- Location & working pattern
Toronto, ON, CAN
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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