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Machine Learning Consultant 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 ... Provides specialized consulting, analytical and technical support. * Exercises judgment to identify ...

New

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Consulting experience and someone with excellent communication and client management skills The ...

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Consulting experience and someone with excellent communication and client management skills The ...

Senior Machine Learning Engineer

London, ON · On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Consulting experience and someone with excellent communication and client management skills The ...

Senior Machine Learning Engineer

Ottawa, ON · On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Consulting experience and someone with excellent communication and client management skills The ...

Job Requisition ID # 26WD98709 Senior Software Engineer - Machine Learning Fusion - Collaborative ... Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply ...

Support our Risk Consulting teams (Governance, Risk & Compliance Services, Technology Risk Services ... Understanding of machine learning algorithms and their implications for risk, including supervised ...

Execute mineral exploration and geoscience consulting projects using machine learning, statistical analysis, and spatial data integration techniques to support exploration in 2D and 3D. * Effective ...

Legal Product Consultant

Toronto, ON · On-site

CA$110K - CA$138K/yr

Why this Role Matters We are seeking a Legal Product Consultant to join our Legal Knowledge ... Experiment with and test generative AI and machine learning technologies to enhance product ...

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Machine Learning Consultant information

See Ontario salary details

$11

$60

$100

How much do machine learning consultant jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for machine learning consultant in Ontario is $60.40, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $83.17 per hour, depending on experience, location, and employer.

What does a machine learning consultant do?

A Machine Learning Consultant helps businesses implement AI and machine learning solutions to improve decision-making, automate processes, and enhance efficiency. They analyze data, develop models, and provide strategic recommendations tailored to a company's needs. Their role often involves working with engineers, data scientists, and stakeholders to integrate machine learning into existing systems.

What are the key skills and qualifications needed to thrive as a machine learning consultant?

To thrive as a Machine Learning Consultant, you need strong expertise in machine learning algorithms, data analysis, and programming skills—typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud platforms, as well as relevant certifications like AWS Certified Machine Learning or TensorFlow Developer, are highly beneficial. Excellent communication, problem-solving, and project management skills help consultants translate complex technical concepts for clients and efficiently drive projects. These skills and qualities are crucial for delivering effective machine learning solutions that address business needs and foster client trust.

What does a typical project look like for a machine learning consultant?

As a Machine Learning Consultant, your projects often begin with collaborating closely with clients to understand their data challenges and business goals. You might be tasked with activities such as setting up data pipelines, selecting and training machine learning models, and presenting actionable insights. Projects can vary in length and scope, ranging from short-term advisory engagements to long-term implementations, and often involve teamwork with data engineers, business analysts, and IT departments. This dynamic environment means you need to balance hands-on technical work with client-facing responsibilities, ensuring successful delivery and measurable impact.

How much does a machine learning consultant make?

A machine learning consultant's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior consultants with specialized skills in data modeling and programming can earn higher salaries, especially when working on complex projects or with advanced tools like Python and TensorFlow.

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

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

Infographic showing various Machine Learning Consultant job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,629 per year, or $60.4 per hour.

Machine Learning Engineer

Bmo

Toronto, ON • On-site

CA$82K - CA$154K/yr

Full-time

Medical, Life, Retirement

Posted 3 days ago

New


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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