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Machine Learning Co Op Jobs in Toronto, ON (NOW HIRING)

WSP

Co-op Student, Electrical Engineering

Thornhill, ON

CA$22.50 - CA$30.25/hr

The OpportunityBuild the Future with Us Step into a role where your classroom learning meets real-world impact. As a Co-op Student, Electrical Engineering , you'll work alongside experienced ...

WSP

Co-op Student, Electrical Engineering

Thornhill, ON

CA$22.50 - CA$30.25/hr

The OpportunityBuild the Future with Us Step into a role where your classroom learning meets real-world impact. As a Co-op Student, Electrical Engineering , you'll work alongside experienced ...

TribalScale

Agile Software Engineer - Co-op

Toronto, ON · On-site

Ideal for students who enjoy side projects, hackathons, and learning new technologies quickly * Opportunity to accelerate technical growth faster than a traditional co-op placement * Learn how to ...

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All JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in Toronto, ON

Machine Learning Co Op information

See Toronto, ON salary details

$9

$40

$92

How much do machine learning co op jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for machine learning co op in Toronto, ON is $40.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.98 and $61.02 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What are the most commonly searched types of Machine Learning jobs in Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Machine Learning Co Op jobs? Cities near Toronto, ON with the most Machine Learning Co Op job openings:
Machine Learning Co Op jobs near you
Infographic showing various Machine Learning Co Op job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $84,327 per year, or $40.5 per hour.

Communications Co-op

Green Infrastructure Partners, Inc.

Markham, ON

$23/hr

Full-time

Posted 13 days ago

Job description

Come help build the future, where our work makes the world work!

SUMMARY

Reporting into the Employee Engagement & Communications Specialist, the Communications Co-op will support the delivery of internal communications across the organization. This roleis situated within theHuman Resources team and works closely with HR and cross-functional partners. You will assist with drafting communications, supporting employee engagement initiatives, maintaining intranet content, and contributing to a variety of organization-wide projects in a fast-paced and collaborative environment.

ENGAGEMENT & LEARNING

Internal Communications & Content Execution

  • Assist in drafting employee communications,including emails, announcements, and internal updates.

  • Support the creation and publishing of content on intranet platforms, such as news posts and department pages.

  • Contribute to the development of communication materials for organizational initiatives and updates.

  • Communicate updates and key messages to employees in a clear, engaging, and timely manner.

  • Ensure consistency in messaging, tone, and branding across communications.

Employee Engagement & Experience Support

  • Partner with HR team members to support employee engagement initiatives,including a recognition program.

  • Collaborate with cross-functional teams to ensure clear communicationand employee experiencethroughout acquisition and integration process.

  • Coordinate and execute employee engagement events, including days of recognition, spotlight series, and seasonal campaigns.

Communication Compliance &Process Improvement

  • Identify opportunities to improvecommunication channels with on-site employees.

  • Recommend and implementenhancements toGIP'sIntranet site.

  • Manage and maintain the communications and engagement calendar to support consistent messaging.

Additional Program Support & Special Projects

  • Support onboarding communications for new employees and acquisitions.
  • Contribute to a wide range of evolving HR and business initiatives as needed.
  • Maintain organization and tracking of communication requests and deliverables.
  • Provide flexible support in a fast-paced environment where priorities may shift regularly.

POSITION REQUIREMENTS

  • Currently enrolled in apostsecondaryCommunications, Public Relations, Human Resources, or related program.

  • Ability to manage multiple priorities in a fast-paced, deadline-driven environment.

  • Experience in content creation for digital platforms (ex: intranet, newsletters, social media) is an asset.

  • Proficiency in Microsoft Office, Canva, andfamiliarity with SharePoint or similar tools is an asset.

  • Able to lift up to 25lbs.

WHAT WE OFFER

  • Expected Base Salary: $20 - $23 per hour. The actual base salary will depend on several factors including experience, qualifications, internal equity, work location and market expectations.
  • Career growth and advancement opportunities.

Disclaimers

Artificial Intelligence (AI) Disclosure: AI tools are not used in the screening or assessment of applicants for this position.

Vacancy Status: This posting is for an existing job vacancy.

GIP does not accept unsolicited resumes from external recruiters or agencies. We only work with approved partners directly engaged by our Human Resources team for specific searches. Unsolicited submissions will not be eligible for placement fees.

We thank you for your interest. Only those selected for an interview will be contacted.

Green Infrastructure Partners Inc. "GIP", is an equal opportunity employer and encourages women, Indigenous peoples, persons with disabilities and members of visible minorities to apply. We seek to hire individuals with diverse characteristics, backgrounds and perspectives.

We believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences. GIP will provide accommodations to job applicants with disabilities throughout the recruitment process. If you require an accommodation, please notify us and we will work with you to meet your needs.

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