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Fall Machine Learning Co Op Jobs in Ontario (NOW HIRING)

PepsiCo

PepsiCo Beverages Fall 2026 Sales Co-op

Orillia, ON · On-site

CA$21.25 - CA$28.50/hr

Orillia, ON Fall Term: September to December 2026 Job Type: Onsite (Field based), daily travel ... During your 4-month co-op term, you will be fully immersed in our sales operations, learning the ...

PepsiCo

PepsiCo Beverages Fall 2026 Sales Co-op

Orillia, ON · On-site

CA$21.25 - CA$28.50/hr

Orillia, ON Fall Term: September to December 2026 Job Type: Onsite (Field based), daily travel ... During your 4-month co-op term, you will be fully immersed in our sales operations, learning the ...

PepsiCo

PepsiCo Beverages Fall 2026 Sales Co-op

Orillia, ON · On-site

CA$21.25 - CA$28.50/hr

Orillia, ON Fall Term: September to December 2026 Job Type: Onsite (Field based), daily travel ... During your 4-month co-op term, you will be fully immersed in our sales operations, learning the ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Ontario

Fall Machine Learning Co Op information

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in Ontario?

For Fall Machine Learning Co Op jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Fall Machine Learning Co Op jobs in Ontario look for?

The top searched job categories for Fall Machine Learning Co Op jobs in Ontario are:

What cities in Ontario are hiring for Fall Machine Learning Co Op jobs?

Cities in Ontario with the most Fall Machine Learning Co Op job openings:

Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Ontario as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Machine Learning Developer (New or Recent Graduate)

Toronto, ON • On-site

BMO Capital Markets
1 - 5K employees
Learn more about BMO Capital Marketsexternal

Full-time

Medical, Life, Retirement

Posted 6 days ago

Job description

Application Deadline:

09/12/2026

Address:

33 Dundas Street West

Job Family Group:

Technology

BMO is seeking a Machine Learning Developer to join our team in Toronto. This role is ideal for an early-career professional with a strong foundation in Machine Learning, Python development, and AWS cloud technologies who is passionate about building intelligent, scalable solutions that solve real business challenges.

As a Machine Learning Developer, you will contribute to the design, development, testing, and deployment of machine learning applications and cloud-based solutions. You will work with cross-functional teams to translate business requirements into technical solutions, develop production-ready code, and support the end-to-end software development lifecycle.

The successful candidate will have a strong understanding of machine learning algorithms, data structures, software engineering principles, and cloud-native development. Experience developing user-facing applications, serverless functions, and machine learning models through professional experience, internships, university projects, or graduate-level research is highly valued.

Key Responsibilities

  • Design, develop, test, and implement machine learning solutions that address business needs.

  • Translate user and business requirements into technical specifications and scalable solutions.

  • Develop and maintain applications using Python and modern software engineering practices.

  • Build, deploy, and support machine learning models in cloud environments, primarily AWS.

  • Develop and integrate serverless applications using AWS services such as Lambda, API Gateway, S3, and related cloud technologies.

  • Support user interface development and integration with machine learning-powered applications.

  • Apply knowledge of machine learning algorithms, model evaluation techniques, feature engineering, and data processing.

  • Participate in model deployment, monitoring, troubleshooting, and performance optimization.

  • Ensure code and configurations adhere to security, logging, performance, and operational standards.

  • Perform root cause analysis, troubleshooting, and ongoing maintenance of applications and services.

  • Follow release management processes, version control, and CI/CD practices.

  • Evaluate emerging technologies and recommend solutions that improve performance, scalability, and user experience.

  • Collaborate with product, engineering, and business teams to deliver high-quality technology solutions.

  • Take measured risks while protecting the bank by applying BMO's Risk Management Framework and adhering to all applicable policies, standards, and regulatory requirements.


Technical Skills

Python

  • Strong programming ability using Python for application development, data processing, and machine learning implementations.

  • Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar.

AWS Cloud

  • Experience developing or deploying solutions within AWS environments.

  • Understanding of serverless architectures and services such as AWS Lambda, API Gateway, S3, IAM, CloudWatch, and SageMaker.

Machine Learning

  • Strong foundation in supervised and unsupervised learning algorithms.

  • Understanding of model training, evaluation, feature engineering, optimization, and deployment best practices.

  • Knowledge of AI/ML concepts gained through professional experience, university projects, research initiatives, or graduate studies.

Qualifications

  • Approximately 1-3 years of relevant experience, including:

  • Professional work experience; and/or

  • Relevant co-op placements, internships, university projects, research initiatives, or graduate-level (MBA/Master's) projects focused on machine learning, AI, software engineering, or analytics.

  • Post-secondary degree in Computer Science, Software Engineering, Data Science, Mathematics, Engineering, AI, Machine Learning, or a related discipline.

  • Strong understanding of machine learning algorithms and statistical modeling concepts.

  • Experience developing applications using Python.

  • Exposure to AWS cloud technologies and serverless architectures.

  • Understanding of software engineering principles, testing methodologies, and the software development lifecycle.

  • Experience working with source control tools such as Git.

  • Strong analytical, problem-solving, and debugging skills.

  • Effective verbal and written communication skills.


Preferred

  • Experience with AWS SageMaker or other machine learning deployment platforms.

  • Experience building user-facing applications, dashboards, or UI components.

  • Experience with APIs, microservices, and cloud-native architectures.

  • Familiarity with CI/CD pipelines and MLOps practices.

  • Experience working in Agile delivery environments.

  • Master's degree or MBA with AI, Analytics, Data Science, or Technology-focused projects.

This role offers an excellent opportunity for a technically curious developer looking to apply machine learning, cloud technologies, and software engineering skills to impactful enterprise-scale solutions within BMO.

Salary:

$55,500.00 - $120,000.00

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.

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