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Healthcare Machine Learning Jobs in Ontario (NOW HIRING)

Machine Learning Engineer

Toronto, ON · On-site

CA$82K - CA$154K/yr

Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ... health and well-being benefits, savings and retirement programs, paid time off, banking benefits ...

Machine Learning Engineer

Toronto, ON · Hybrid

CA$129K - CA$174K/yr

Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ... Competitive, equitable salary with top-tier health benefits, dental, and vision insurance * Hybrid ...

Machine Learning Engineer

Toronto, ON · On-site

CA$67K - CA$124K/yr

Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Machine Learning engineer

Toronto, ON · On-site

CA$67K - CA$124K/yr

Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Machine Learning Engineer

Toronto, ON · On-site

CA$67K - CA$124K/yr

Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Machine Learning Engineer

Toronto, ON · On-site

CA$67K - CA$124K/yr

Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Machine Learning Engineer

Toronto, ON · On-site

CA$67K - CA$124K/yr

Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

... system health, and overall platform efficiency * Collaboration with Data Engineers: Work closely ... Implement version control systems for machine learning models and contribute to model governance ...

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Showing results 1-20

Healthcare Machine Learning information

See Ontario salary details

$22K

$120.3K

$176K

How much do healthcare machine learning jobs pay per year?

As of Aug 25, 2026, the average yearly pay for healthcare machine learning in Ontario is $120,316.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $165,000.00 per year, depending on experience, location, and employer.

What is a healthcare machine learning?

A Healthcare Machine Learning job involves developing and applying machine learning models to analyze medical data and improve healthcare outcomes. Professionals in this role work with electronic health records, medical imaging, genomics, and other healthcare data to assist in disease prediction, diagnosis, and personalized treatments. They collaborate with clinicians, data scientists, and engineers to ensure models are clinically relevant and ethically sound. Strong knowledge of machine learning, data preprocessing, and regulatory compliance (such as HIPAA) is essential.

What are the key skills and qualifications needed to thrive in healthcare machine learning?

To thrive in Healthcare Machine Learning, you need strong expertise in data science, machine learning algorithms, and biomedical informatics, often supported by an advanced degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and healthcare data standards (like HL7 or FHIR) is highly beneficial, and certifications in data science or health informatics can provide an edge. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to diverse healthcare teams are valuable soft skills. These competencies are vital for developing robust, ethically sound machine learning solutions that improve clinical decision-making and patient outcomes.

What are some common challenges faced by professionals working in healthcare machine learning?

Professionals in Healthcare Machine Learning often encounter challenges such as navigating complex, unstructured, or incomplete healthcare data while ensuring strict compliance with privacy regulations like HIPAA. They must also bridge the gap between technical requirements and clinical needs, collaborating closely with medical professionals who may not have a technical background. Additionally, validating and interpreting machine learning models for real-world clinical use adds another layer of complexity, as solutions must be both accurate and explainable. Overcoming these challenges requires strong technical skills, effective teamwork, and a commitment to ethical, patient-centered solutions.

What does machine learning do in healthcare?

Healthcare machine learning involves developing algorithms that analyze medical data to assist in diagnosis, treatment planning, and predicting patient outcomes. Professionals in this field use tools like Python and TensorFlow, and often require knowledge of medical terminology and data privacy regulations to improve healthcare delivery.

What are popular job titles related to Healthcare Machine Learning jobs in Ontario?

For Healthcare Machine Learning jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Healthcare Machine Learning jobs in Ontario look for?

The top searched job categories for Healthcare Machine Learning jobs in Ontario are:

Infographic showing various Healthcare Machine Learning job openings in Ontario as of August 2026, with employment types broken down into 2% As Needed, 62% Full Time, 22% Part Time, and 14% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $120,316 per year, or $57.8 per hour.

Machine Learning Engineer

Bmo

Toronto, ON • On-site

CA$82K - CA$154K/yr

Full-time

Medical, Life, Retirement

Posted 7 days ago


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.


BMO logo

About BMO

Sourced by ZipRecruiter

BMO, or Bank of Montreal, is one of the biggest multinational banking and financial services corporations in North America. Developed in 1817, BMO's American headquarters are located ideally in Chicago, Illinois while its main world headquarters are situated in Montreal. The bank operates in a multitude of sectors including personal and commercial banking, wealth management and investment banking products and solutions. Over the years, BMO has been recognized for its commitment to doing what's right for its customers, employees, and society.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

Chicago, IL, US

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