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Machine Learning Co Op Jobs in Ontario (NOW HIRING)

Student Co-op

Nepean, ON · On-site

CA$23/hr

We're seeking a Construction Co-op Student who is eager to turn classroom learning into meaningful project experience. This opportunity is ideal for a motivated student who wants broad exposure to ...

Were seeking a Construction Co-op Student who is eager to turn classroom learning into meaningful project experience. This opportunity is ideal for a motivated student who wants broad exposure to ...

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 ...

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 ...

Technician II (Co-op)

Cambridge, ON · On-site

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 ...

Technician II (Co-op)

Guelph, ON · On-site

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 ...

Technician II (Co-op)

Breslau, ON · On-site

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 ...

Technician II (Co-op)

Waterloo, ON · On-site

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 ...

JOB SUMMARY The Finance Co-op will support the commercial and finance teams with day-to-day ... Proficiency in Microsoft Excel and an aptitude for learning new financial software or ERP systems.

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 ...

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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:

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Showing results 1-20

Machine Learning Co Op information

See Ontario salary details

$10

$42

$97

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 Ontario is $42.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $63.94 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 are the most commonly searched types of Machine Learning jobs in Ontario? The most popular types of Machine Learning jobs in Ontario are:
Infographic showing various Machine Learning Co Op job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $88,362 per year, or $42.5 per hour.
Aquatic Informatics - Machine Learning Co-Op (Intern)

Aquatic Informatics - Machine Learning Co-Op (Intern)

Hach

London, ON

CA$5.0K/mo

Full-time

Posted 2 days ago


Hach rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

113th of 485 rated machine equipment manufacturers


Job description

Imagine yourself...

  • Doing meaningful work that makes an everyday impact on the world around you.
  • Growing your expertise and expanding your skillset with every project.

It's possible with a role atAquatic Informatics(https://aquaticinformatics.com/).

Aquatic Informatics (AQI), aVeraltocompany, is a mission-driven software company that organizes the world's water data to make it accessible and useful. We provide software solutions that address critical water data management, analytics, and compliance challenges for the rapidly growing water industry. We offer a full range of solutions, from standalone software packages for individual users, hosted software services, and enterprise-wide national systems. We serve over 1,000 municipal, federal, state/provincial, hydropower, mining, academic, and consulting organizations in over 60 countries that collect, manage, and process large volumes of water data.

Aquatic Informaticsis headquartered in Vancouver, Canada and has offices in the US and Australia. We value independent thinking, initiative, teamwork, a relentless pursuit of quality, a playful spirit, and a sense of humor. We like smart people - IQ and EQ - who care about the environment and want to do good in the world. Ours is a unique culture where purpose meets possibility: where the work we do makes a real difference on the world's valuable water resources, and where you'll have opportunities to own your ambition and fuel your career growth.

About the opportunity

TheMachine Learning Engineerwill contribute to the technical development of Aquatic Informatics' predictive analytics products. These solutions support our customers in leveraging intelligent water technologies to protect the environment and human health. In this role, you will collaborate with an interdisciplinary team of engineers, data scientists, domain experts, and business leaders to design, build, and operate cutting-edge predictive analytics products that influence critical real-world decisions.

This position is part of theEngineering TeaminVancouver, Canada, and is a hybrid position. Our engineering team meets regularly in our Vancouver office with optional in-office collaboration on Wednesdays.

Qualifications:

  • Must be currently enrolled in an accredited post-secondary institution
  • You are passionate about data science and full-stack software engineering
  • Keen to learn about AI/ML and software technology; incessantly inquisitive
  • Love to code - production code, test code, automation code, dev tooling code
  • Thrive on using data to solve challenging technical problems
  • Resourceful and independent, while being a contributing member of a collaborative team
  • Excellent English communication skills, both verbal and written
  • Programming experience with at least one object-oriented language (bonus for C#) or scientific language (bonus for Python)
  • Currently studying computer science, computer engineering, or a related discipline

Bonus:

  • Interest or experience with NL-to-Analytics, MCP and LLMs technologies
  • Exposure to cloud computing (AWS/Azure) infrastructure
  • Interest or experience in hydrology or environmental sciences

Why Join Us?

Aquatic Informatics is proud to part of the Water Quality segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto's vibrant global network of 16,000 associates, you join a unique culture and work environmentwhere purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you'll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we're Safeguarding the World's Most Vital Resources-and building rewarding careers along the way.

The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An associate's position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The compensation range for this role is $5000 CAD per month.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Unsolicited Assistance

We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.


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About Hach

Sourced by ZipRecruiter

Hach manufactures and distributes analytical instruments and reagents used to test the quality of water and other liquid solutions. Manufactured and distributed worldwide, Hach systems are designed to simplify analysis by offering online instrumentation, portable laboratory equipment, prepared reagents, easy-to-follow methods, and technical support.Hach is a wholly owned subsidiary of Danaher Corporation (DHR), a Fortune 500 corporation.

Industry

Environmental quality programs administration

Company size

1,001 - 5,000 Employees

Headquarters location

Loveland, CO, US

Year founded

1947