Machine Learning Engineer

Bank of Montreal; Toronto; On-site; CAD 83,000 - 155,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

Bank of Montreal is seeking a data analytics expert to design and deploy scalable AI/ML solutions. The role focuses on building and optimizing data pipelines, validating model performance, and delivering decision-support tools for business units.

The ideal candidate will have deep learning, machine learning, and data engineering expertise with a track record in end-to-end ML projects, experimentation, and production deployment in a regulated environment.

Qualifications

• Foundational level of proficiency: Systems Thinking.
• Intermediate level of proficiency: Mathematics, Statistics & Operations Research.
• Critical thinking and creative reasoning.
• Verbal & written communication, collaboration & team skills.
• Analytical and problem solving, data driven decision making.
• Advanced proficiency in Computational Thinking and Programming.
• Deep Learning and Machine Learning expertise; scaling models.
• CI/CD familiarity and ML algorithm knowledge.

Responsibilities

• Researches, builds, and implements scalable AI systems to meet business requirements.
• Enhances data pipelines and lakes for clean, accurate data and ML readiness.
• Monitors, evaluates, and optimizes learning processes for high‑performance models.
• Designs and develops ML and deep learning systems and runs experiments.
• Turns unstructured data into actionable insights via tagging and text/audio processing.
• Develops ML algorithms to analyze large historical data for predictions.
• Provides consulting, analytical and technical support within risk and governance.
• Works independently on non-routine problems and applies risk-aware decisions.

Skills

Systems Thinking

Mathematics

Statistics

Operations Research

Critical thinking

Creative reasoning

Verbal & written communication

Collaboration

Analytical and problem solving

Data driven decision making

Computational Thinking

Programming

Deep Learning

Machine Learning

Scaling Models

Continuous Integration

Continuous Delivery/Deployment

ML algorithm

Education

Post-secondary degree in related field

Job description

Application Deadline: 08/21/2026 Address: 33 Dundas Street West Job Family Group: Data Analytics & Reporting

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: $82,800.00 - $154,800.00 Pay Type: Salaried 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.

Who we are

We're proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management and investment services to more than 12 million customers. In Canada, the United States and across the globe, we'll continue to build, invest and transform to drive performance that serves the good that grows.