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Machine Learning Engineer Part Time Jobs in Ontario

Uottawa

APTPUO - GNG1105 C - Fall 26

Ottawa, ON

CA$239.47/hr

Professeur a temps-partiel etudiant/ Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/07 ... machine design or structures. Candidates must have a background in mechanical engineering and be ...

Uottawa

APTPUO - GNG1105 A - Fall 26

Ottawa, ON

CA$239.47/hr

Professeur a temps-partiel etudiant/ Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/07 ... machine design or structures. Candidates must have a background in mechanical engineering and be ...

Linamar

Exkor_Student - Fall 2026

Windsor, ON · On-site

Student ( Part-time ) Powering Vehicles, Motion, Work, and Lives since 1966. Performance ... Manual dexterity required for operating machinery and computers. * Moves equipment weighing up to ...

The Home Depot Canada

CA$20.10 - CA$21.85/hr

If you're also naturally curious and eager to keep learning, consider starting or growing your ... In addition, most Freight Team Associates operate reach trucks, forklifts and order picker machines ...

Baycrest

Research Programmer

Toronto, ON · Hybrid

CA$82/hr

Negotiable part-time 3 days/week up to full-time 5 days/week. * Work will be on-site. * Possibility ... Our salary ranges are structured to support progression, from learning the role to demonstrating ...

Homes First

Client Programming Coordinator

Toronto, ON · On-site

CA$28/hr

Permanent, Part-time Location: 101-121 Kendleton Drive Hours of Work: Saturday and Sunday, 10am-6pm ... Certificate of Completion of Homelessness Learning Hub's Harm Reduction for the Homelessness Sector ...

Homes First

Client Programming Coordinator

Toronto, ON · On-site

CA$28/hr

Permanent, Part-time Location: 101-121 Kendleton Drive Hours of Work: Saturday and Sunday, 10am-6pm ... Certificate of Completion of Homelessness Learning Hub's Harm Reduction for the Homelessness Sector ...

Homes First

CA$28/hr

Permanent, Part-time Location: 101-121 Kendleton Drive Hours of Work: Saturday and Sunday, 10am-6pm ... Certificate of Completion of Homelessness Learning Hub's Harm Reduction for the Homelessness Sector ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Part Time JobsMachine Learning Engineer Part Time Jobs in Ontario

Machine Learning Engineer Part Time information

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 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 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.

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 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

APTPUO Part-time Professor 2026 Fall CEG2136C

Uottawa

Ottawa, ON

CA$239.47/hr

Part-time

PTO

Posted 21 days ago

Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2026 Fall Semester

Faculty:

Faculte de genie / Faculty of Engineering

Academic Unit:

Ecole de science informatique et de genie electrique \\ School of Electrical Engineering and Computer Science

Course Title:

Computer Architecture I

Course Code:

CEG2136

Section:

C00

Course Description:

Design a digital computer to execute a given instruction set. Design of digital computers. Register transfer and microoperations. Designing the instruction set, CPU and CPU control. Basic machine language programming. Using pipelines for CPU design. Designing the memory unit. Designing Imput-Output subsystem.

Posting limited to:

Professeur a temps-partiel regulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/06/23

Applications must be received BEFORE (YYYY/MM/DD):

2026/07/24

Expected Enrolment:

n/a

Approval date:

2026/06/23

Number of credits:

3

Work Hours:

52

Hourly Rate:

Enseignement / Teaching: $239.47 (2024-2025)

The academic year starts on September 1 and ends on August 31.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Course type:

B

Posting type:

Regulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Passive

Course Schedule:

A determiner | TBD - A determiner | TBD - -

Requirements:

Excellent knowledge of course subject matter, demonstrated by having taught similar or related courses, or demonstrated by relevant work experience. Applicants must also be licensed as a Professional Engineer. Regular applicants must have a doctorate and it should be in a field related to the course (especially in the case where the course is more specialized), if not, they must have a relevant work experience in a field related to the course, after having obtained their Ph.D.

Please include your P.Eng. License number and province of registration when applying.


The contract for this course will include a payment for 52 hours (instead of 39 hours), as it is required that the part-time professor teaching this course attends tutorials at least one hour per week (on average).

Please note that the teaching method for this course will be delivered: in person.

Additional Information and/or Comments:

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

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