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

INNIO

Machining Engineering Co-op

Welland, ON

Act as the Manufacturing Co-op and be a member of the Machining Team. You will be working closely to support a number of continuous improvement projects and variety of assignments to promote the ...

Innio

Machining Engineering Co-op

Welland, ON

Act as the Manufacturing Co-op and be a member of the Machining Team. You will be working closely to support a number of continuous improvement projects and variety of assignments to promote the ...

Kenvue

Technician II (Co-op)

Cambridge, ON

CA$34K - CA$49K/yr

Technician II (Co-op) What we do At Kenvue, we realize the extraordinary power of everyday care ... Enthusiastic about developing technical skills with a proactive learning attitude * Basic ...

Kenvue

Technician II (Co-op)

Guelph, ON

CA$34K - CA$49K/yr

Technician II (Co-op) What we do At Kenvue, we realize the extraordinary power of everyday care ... Enthusiastic about developing technical skills with a proactive learning attitude * Basic ...

Johnson Electric

Maintenance Co-op Student

Ancaster, ON

CA$20 - CA$23/hr

Co-op Position Relocation: Not Applicable Travel: Minimal As our next Maintenance Co-op, you'll be ... Conduct regular inspections on all machinery for defects and potential problems in accordance with ...

Innio

Training Operations Co-op

Welland, ON · On-site

You will work closely with subject matter experts to create, edit, and organize multimedia training content that enhances the learning experience for our manufacturing workforce. Co-op Term:

Innio

Maintenance Engineering Co-op

Welland, ON

Co-op Dates: September 2026 -December2026 Essential Responsibilities * Assisting with the ... machine integration and controls * Assist with troubleshooting and solving problems related to ...

INNIO

Maintenance Engineering Co-op

Welland, ON · On-site

Co-op Dates: September 2026 -December2026 Essential Responsibilities * Assisting with the ... machine integration and controls * Assist with troubleshooting and solving problems related to ...

Survalent

Marketing Co-op (Hybrid)

Mississauga, ON

CA$20/hr

In this full-time co-op role, you will support the Marketing team with digital marketing, content ... Comfort learning and working with new systems (training will be provided) * Excellent knowledge of ...

Acceldata

Software Engineering Co-op

Kitchener, ON

Commit to continuous learning and professional development, adapting to new tools, languages, and ... Co-Op Work History, if applicable * Resume * Grade Report Compensation and Benefits Information

Acceldata

Field Engineering Co-Op

Kitchener, ON

CA$20 - CA$30/hr

Commit to continuous learning and professional development, adapting to new tools, languages, and ... Co-op Work History * Resume * Grade Report Compensation and Benefits Information * Apple Mac ...

Acceldata

Sales Engineering Co-Op

Kitchener, ON

CA$20 - CA$30/hr

Commit to continuous learning and professional development, adapting to new tools, languages, and ... Co-op Work History * Resume * Grade Report Compensation and Benefits Information * Apple Mac ...

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

Machine Learning Co Op information

See Hamilton, ON salary details

$9

$41

$94

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

As of Jul 26, 2026, the average hourly pay for machine learning co op in Hamilton, ON is $41.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.29 and $62.16 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 types of projects do Machine Learning Co-Op students typically work on, and how do they contribute to the team?

Machine Learning Co-Op students often work on a variety of hands-on projects, such as developing data preprocessing pipelines, training and evaluating machine learning models, or supporting ongoing research initiatives. They commonly collaborate with data scientists, engineers, and other interns, contributing fresh perspectives and technical support. Co-Ops may also participate in code reviews, attend team meetings, and present their findings, making them valuable contributors to both experimental and production-level work. This collaborative environment offers plenty of opportunities to learn from experienced professionals while making a real impact on projects.

What is a Machine Learning Co-Op?

A Machine Learning Co-Op is a temporary, paid position that allows students or recent graduates to gain hands-on experience working with machine learning technologies in a professional setting. Co-ops typically last several months and are designed to provide practical exposure to real-world projects, such as building models, analyzing data, and collaborating with data scientists or engineers. This role helps participants develop technical skills, gain industry insights, and build a professional network, which can be valuable for future career opportunities in the field of artificial intelligence or data science.

What are the key skills and qualifications needed to thrive as a Machine Learning Co Op, and why are they important?

To thrive as a Machine Learning Co Op, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and coursework or experience in data science or machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Excellent problem-solving abilities, eagerness to learn, and effective communication help set you apart in collaborative and fast-paced environments. These skills and qualities are crucial for successfully contributing to real-world projects and advancing your expertise in the field.
What cities near Hamilton, ON are hiring for Machine Learning Co Op jobs? Cities near Hamilton, 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 Hamilton, ON as of June 2026, with employment types broken down into 2% Internship, 4% As Needed, 80% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $85,906 per year, or $41.3 per hour.

Machining Engineering Co-op

INNIO

Welland, ON

Other

Posted 5 days ago

Job description

What are we looking for?

Act as the Manufacturing Co-op and be a member of the Machining Team. You will be working closely to support a number of continuous improvement projects and variety of assignments to promote the optimization of processes.

Co-op Term Duration: September 2026 - December 2026

Essential Responsibilities

  • Completing Tasks related to monitoring/trending and troubleshooting manufacturing processes.
  • Assist with troubleshooting and solving problems related to process efficiency, product quality, throughput and yield.
  • Assistingininvestigationsthroughdatacompilationandstatisticalanalysistodetermineroot cause to atypical events.
  • Assistingwithnewproductproveoutandqualificationactivitiesonproductionequipment.
  • Assistingwithvalidatingpurchasednoblecomponentstofacilitatesupplierqualificationsand continuous improvement.
  • Compilationandanalysisofprocessdata.Presentingresultsandpreparingreports
  • Contributingtoprocessimprovementprojects,suchasLeanandSixSigmainitiatives
  • Preparationanddatacheckingtechnicalreports.
  • Involvementinchangemanagementactivities
  • UseofERPenterprisesoftwaretosourceinformationand navigatebusinessoperations.
  • SupportsTechnicalOperationsdepartmentwithprocessexecutions.
  • Qualifications/Requirements
  • Inprocessofcompletingdegreeinarelateddiscipline,suchasManufacturing/Mechanical Engineering or Mechatronics
  • Experienceworkingwithinamanufacturingsetting.

Desired Characteristics

  • Knowledge of working with AutoCAD & Inventor would be considered an asset.
  • Basic knowledge of CNC Mill/Lathe.
  • Knowledge of operating manual Mill and Lathe.
  • Possesses strong analytical and organizational skills.
  • Desire to learn about the technical process of engine component/manufacturing.
  • Professional demeanor/customer service oriented.
  • Ability to muti-task and deliver key objectives within established timelines.
  • Ability to work independently and within cross-functional teams.
  • Proficient in Microsoft Software, such as Excel, Word and PowerPoint.
  • Experience with Oracle and/or other ERP systems preferred.

Accommodations

INNIO is an equal opportunity employer committed to inclusive, barrier-free recruitment and selection processes and work environments. We will make reasonable accommodations for the needs of applicants under the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA) throughout all stages of the recruitment and selection process. Please advise the Human Resources Department atrecruiting@innio.comto ensure your accessibility needs are accommodated throughout this process.

As part of our commitment to innovation and efficiency, INNIO utilizes AI technology to assist in the initial screening of applicants. This helps us more effectively identify qualifications and match candidates to role requirements. Please note that all hiring decisions are made with human oversight to ensure fairness, context, and alignment with our core values.

Employment Type: Entry Level

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