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Machine Learning Engineer Part Time Jobs in Ontario

BMO Capital Markets

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

Model and design databases and data architectures to support advanced analytics, machine learning ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

BMO Capital Markets

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

... analysis, and machine learning frameworks. Strong programming skills (Python preferred) and ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Uottawa

TA (CUPE) - SED3115 A - Fall 2026

Ottawa, ON · On-site

CA$31.89 - CA$50.25/hr

... programming is required. All candidates selected for consideration must be available for an interview. Preference will be given to candidates who have completed a course in AI or Machine Learning ...

BMO Capital Markets

Tech Lead, AI Engineering

Toronto, ON · Hybrid

CA$75K - CA$141K/yr

Microsoft Azure AI Engineer / Solutions Architect * AWS Machine Learning / Solutions Architect ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

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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

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 key skills and qualifications needed to thrive as a machine learning engineer part time?

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 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

Part-Time Lecturer - Applied Machine Intelligence (Toronto)

NorthEastern

Toronto, ON

CA$2.0K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

About the Opportunity

About Northeastern:

Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. Our locations-inBoston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; Miami; Oakland; Arlingtonand the Massachusetts communities of Burlington and Nahant-are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research. Northeastern's comprehensive array of undergraduate and graduate programs- in a variety of on-campus and onlineformats-lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than195multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

About the Opportunity:

Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on-ground in Toronto, Canada.

Responsibilities:

The Master of Professional Studies in Analytics is looking for part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential network addressing the business challenges in the industry.

Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The Applied Machine Intelligence courses offer a multi-disciplinary, experience-based approach that prepares students to innovate within the rapidly growing field of artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address business issues in any industry.

Qualifications:

Minimum qualification: Terminal degree in an aligned discipline and analytics/artificial intelligence industry experience.

Preference for candidates with a Ph.D. in a sciences field or similar.

Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

Supervision:

This position will report to the Program Lead in the Master of Professional Studies in Applied Machine Intelligence.

Additional Information:


Applicants should submit materials including a letter of interest, vitae, teaching evaluations, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.

Northeastern University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $2,049.43

Apply