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Machine Learning Engineer Part Time Jobs in Ontario

Uottawa

APTPUO-Fall 2026-DTI6302 F

Ottawa, ON

CA$239.47/hr

... Engineering Design and Teaching Innovation Course Title: Machine Learning Operations Course Code ... Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ...

Uottawa

APTPUO-Winter 2027-SYS5180

Ottawa, ON

CA$239.47/hr

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... Engineering, or a closely related field with a strong focus on AI and machine learning

Ontario Health

Research Intern, AI - Student

Toronto, ON · On-site

$32 - $34/hr

Assisting in data cleaning, preprocessing, and feature engineering for machine learning workflows ... Temporary + (Fixed Term) Part time Contract Length: 2 Month(s) Salary Band: Student External ...

Uottawa

APTPUO- Winter 2027 -DTI5125

Ottawa, ON

CA$239.47/hr

Faculte de genie / Faculty of Engineering Academic Unit: Ecole de conception et d'innovation ... machine learning tools. Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time ...

Uottawa

APTPUO-Fall 2026 -MEM6287A (online)

Ottawa, ON

CA$239.47/hr

AI concepts for advanced analytics with applications in engineering and management. Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD ...

Uottawa

APTPUO_Fall-2026_MCG5138 D00

Ottawa, ON · On-site

CA$239.47/hr

... and machine learning algorithms. Emphasis is on the mathematical/numerical theory, programming ... Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ...

Uottawa

APTPUO Fall 2026- DTI 6220

Ottawa, ON

CA$239.47/hr

Faculte de genie / Faculty of Engineering Academic Unit: Ecole de conception et d'innovation ... or machine learning. The candidate must also have a minimum of 3-5 years of work/research ...

GEI Consultants

AI Engineer Intern/Co-op

Markham, ON · Hybrid

CA$24 - CA$28/hr

... Computer Engineering, Machine Intelligence, Data Science, or a related field. * Preferred ... This role is designed to support academic schedules with flexible part-time hours during academic ...

Themuseum

Part-time Interpreter

Kitchener, ON

Programming & Special Events REPORTS TO: Guest Experience Team Lead Hours: Part-time hours up to a ... with positive learning experiences. Programs include THEMUSEUM's permanent education programs ...

THEMUSEUM

Part-time Interpreter

Kitchener, ON · On-site

Programming & Special Events REPORTS TO: Guest Experience Team Lead Hours: Part-time hours up to a ... with positive learning experiences. Programs include THEMUSEUMs permanent education programs ...

Uottawa

APTPUO - Fall 2026 - GEG3300-A00

Ottawa, ON

CA$239.47/hr

Predictive modeling and machine learning Posting limited to: Professeur a temps-partiel etudiant/ Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05/20 Applications must be received BEFORE ...

Clariti Cloud Inc.

Senior Software Engineer

Toronto, ON

CA$103K - CA$160K/yr

Benefits depend on employment type (full-time, part-time, contract, etc). Things to Note đź“ť ... learning and self-development; have the ability to communicate courageously in a direct but ...

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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

APTPUO-Fall 2026-DTI6302 F

Uottawa

Ottawa, ON

CA$239.47/hr

Part-time

PTO

Posted 15 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 conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching Innovation

Course Title:

Machine Learning Operations

Course Code:

DTI6302

Section:

B

Course Description:

Posting limited to:

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

Date Posted (YYYY/MM/DD):

2026/05/15

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

2026/06/16

Expected Enrolment:

75

Approval date:

2026/05/15

Number of credits:

3

Work Hours:

39

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:

Jeudi | Thursday 17:30-20:30 - -

Requirements:

Priority will be given to applicants who are in the process of completing a PhD in Digital Transformation and Innovation, Computer Science, or Electrical Engineering. The applicant must possess a minimum of three years of industry experience in a senior or lead role as a machine learning engineer. They should have hands-on experience applying the latest MLOps techniques, such as continuous integration, model and data versioning, automated retraining, and model updating, specifically within the framework of an industry project. Additionally, the applicant must have comprehensive experience with state-of-the-art, cloud-based machine learning development environments, including Amazon SageMaker and Databricks Unified Analytics Platform. The applicant must be highly knowledgeable in the latest deep learning architectures, including CNNs, LSTMs, and transformers.

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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