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Machine Learning Engineer Part Time Jobs in Ontario

Sun, Inc.

Dishwasher - Part Time

Sherkston, ON

Operates dish washing machines safely and according to manufacturer specifications (Essential ... Access to hundreds of online learning modules via Sun University * Vacation RV site rent discounts ...

Uottawa

APTPUO - Winter 2027 - GEG2320-C00

Ottawa, ON

CA$239.47/hr

... machine learning, understand global navigation satellite systems like GPS, and use ecological and ... Professeur a temps-partiel etudiant/ Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ...

Uottawa

APTPUO_FALL-2026_GNG1105 - D00

Ottawa, ON

CA$239.47/hr

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... in solid mechanics, machine design, or structures. * Background in mechanical engineering

Uottawa

APTPUO_FALL-2026_GNG1105 - B00

Ottawa, ON

CA$239.47/hr

Professeur a temps partiel postdoctoral/ Postdoctoral Part-Time Professor Date Posted (YYYY/MM/DD ... in solid mechanics, machine design, or structures. * Background in mechanical engineering

Uottawa

APTPUO-Fall 2026 - SED1115

Ottawa, ON

CA$239.47/hr

We are seeking a part-time instructor to teach SED 1115: Embedded Programming and Scripting, a 3 ... learning and digital fluency Align teaching with the approved course description and learning ...

Extendicare

Housekeeping Aide - Part Time - Medex

Ottawa, ON · On-site

CA$23.76 - CA$25.39/hr

To operate floor care machines and steam cleaning equipment; To strip, scrub, spray, and buff all ... Continuous mentorship, support for life-long learning and growth opportunities Opportunities for ...

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Machine Learning Engineer Part Time information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Part Time, and why are they important?

To thrive as a Machine Learning Engineer Part Time, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and ideally a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, and cloud platforms, as well as experience with version control systems like Git, is typically required. Excellent problem-solving abilities, adaptability, and clear communication are valuable soft skills for collaborating on projects and conveying technical concepts. These skills ensure effective development, deployment, and optimization of machine learning models within the constraints of a part-time role.

How do part-time Machine Learning Engineers typically balance project ownership with limited working hours?

Part-time Machine Learning Engineers often focus on well-defined project segments, collaborating closely with full-time team members to ensure alignment and continuity. Clear communication, thorough documentation, and regular check-ins are key to maintaining progress and integrating their contributions seamlessly. While they may not own entire projects, they often take responsibility for specific modules, models, or experiments, and their schedules are usually coordinated to overlap with team meetings or sprints. This structure allows part-time engineers to add significant value while maintaining a manageable workload.

What is a Machine Learning Engineer (Part Time)?

A Machine Learning Engineer (Part Time) is a professional who designs, builds, and implements machine learning models and algorithms, but works fewer hours than a full-time employee—often on a flexible or project-based schedule. These engineers collaborate with data scientists and software developers to integrate intelligent systems into products or services. Part-time roles are ideal for those seeking work-life balance, students, or professionals supplementing their income. Responsibilities may include data preprocessing, model training, and deployment, but the scope is typically tailored to fit part-time hours.

What is the difference between Machine Learning Engineer Part Time vs Data Scientist Part Time?

AspectMachine Learning Engineer Part TimeData Scientist Part Time
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentTech companies, startups, research labs; project-basedBusiness, finance, healthcare; data analysis and reporting
Employer & Industry UsageTech firms, AI startups, R&D departmentsCorporate sectors, consulting firms, research institutions

Machine Learning Engineer Part Time focuses on developing and deploying ML models, while Data Scientist Part Time emphasizes analyzing data to extract insights. Both roles often require similar educational backgrounds and may work in overlapping industries, but their core responsibilities differ. Understanding these distinctions helps job seekers target the right position based on their skills and career goals.

What are the most commonly searched types of Machine Learning Engineer jobs in Ontario? The most popular types of Machine Learning Engineer jobs in Ontario are:
What cities in Ontario are hiring for Machine Learning Engineer Part Time jobs? Cities in Ontario with the most Machine Learning Engineer Part Time job openings:
Machine Learning Engineer Part Time jobs near you
Field Service Technician (Part-time)

Field Service Technician (Part-time)

Opex Corp

Windsor, ON

Part-time

Posted 3 days ago

OPEX Corporation rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

120th of 415 rated machine equipment manufacturers

Job description

Position Summary:

OPEX Corporation is looking for a Part-Time Field Service Technician who enjoys hands-on work and helping customers keep their equipment running smoothly. This role is well suited for individuals who'd like to use their technical skills, and work a flexible, part-time schedule-without the demands of a full-time role.

Responsibilities:

  • This position is responsible for the day to day maintenance, troubleshooting and repair of mail opening, document scanning and/or material handling equipment
  • Installing and setting up new equipment
  • Interact with customers to understand issues and clearly explain solutions as well as keep customers informed during service visits and answer questions 
  • Complete service documentation and reports
  • Keeping the customer informed as repairs are made and answer any question that may arise.
  • Interact with management as well as other personnel to analyze and correct any equipment performance issues.
  • Submit weekly online timecards and expense reports 

Qualifications:

  • Practical mechanical, electronics, or computer skills gained through work or hands-on experience
  • A customer-first mindset and strong communication skills
  • Valid driver's license, auto insurance, and a reliable vehicle
  • Ability to lift up to 25 pounds
  • Comfortable moving around equipment and working in smaller spaces when needed

Physical/Work Environment: 

  • Work may take place in office or warehouse settings, depending on the customer
  • Tasks may include bending, kneeling, reaching, or standing for periods of time
  • Reasonable physical activity typical of light technical service work

Company Overview

OPEX Corporation is more than a manufacturer of machines. We continuously reimagine technology to power the future for our customers. 

With an innovative approach, we engineer unique automated solutions that support our customers so they can solve the most pressing business challenges for both today and tomorrow. Our scalable Warehouse, Document, and Mail Automation solutions improve workflow, accelerate change, and drive efficiencies in infrastructure. 

We are a family-owned and operated organization with more than 1400 committed employees who innovate, manufacture, install, and service products that are helping transform industry every day. We listen to our customers, respect each other, and work together to help reimagine the future through automated solutions. 

At OPEX, we are Next Generation Automation.

OPEX Corporation is an Equal Opportunity/Affirmative Action Employer, without regard to race, color, religion, sex, national origin, age, disability, and protected veteran status.

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