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Machine Learning Engineer Part Time Jobs in Waterloo, ON

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 ...

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 ...

In Person Job Type and Duration: Part-time Position Availability: 4 existing vacant positions ... Experience creating and delivering recreational programming. * Excellent interpersonal ...

Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable, responsible ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Overview Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Retail Shift Leader

Kitchener, ON · On-site

CA$19 - CA$21/hr

Overview Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Retail Sales Associate

Waterloo, ON · On-site

CA$17.60 - CA$18.50/hr

Overview Canna Cabana is actively seeking Part-Time Sales Associates who are knowledgeable ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Retail Sales Associate

Kitchener, ON · On-site

CA$17.60 - CA$18.50/hr

Overview Canna Cabana is actively seeking Part-Time Sales Associates at Highland Rd store; who are ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

In Person Job Type and Duration: Part-time Position Availability: 2 existing vacant positions ... Provide fully inclusive programming to participants of all abilities and skill levels * Provide ...

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 Waterloo, ON? The most popular types of Machine Learning Engineer jobs in Waterloo, ON are:
Infographic showing various Machine Learning Engineer Part Time job openings in Waterloo, ON as of May 2026, with employment types broken down into 7% Internship, 72% Full Time, and 21% Part Time. Highlights an 71% In-person, and 29% Hybrid job distribution.

Part-time Interpreter

THEMUSEUM

Kitchener, ON • On-site

Part-time

Posted 15 days ago


Job description

Salary: $18.10/hour

POSITION: Part-time Interpreter
DEPARTMENT: Programming & Special Events
REPORTS TO: Guest Experience Team Lead
Hours: Part-time hours up to a maximum of 30 hours per week. Looking for candidates with good weekday availability. Hours include evenings as scheduled per THEMUSEUM regular hours and events.
Applicants will be asked to provide a current criminal record check.
We are looking for highly motivated and energetic individuals to help augment THEMUSEUMs exhibitions and programs. Interpreters are the public face of THEMUSEUM. Through the delivery of various programs (public, camp, and education), Interpreters facilitate an educational, engaging and safe environment for guests to explore the exhibitions and participate in the programs and events that are offered. Interpreters assist at the front desk by operating admissions and bringing visitors into THEMUSEUM. Interpreters also assist in the Underground Studio Makerspace facilitating school programs and maker-based activities.
PRIMARY RESPONSIBILITIES & DUTIES:
Engage visitors throughout the exhibitions to enhance their experience while visiting THEMUSEUM.
Manage floor traffic through the exhibitions while providing guidance to visitors as needed.
Provide supervision to exhibits, reporting any incidents on the floor.
Lead daily programming such as crafts and science activities for the public in a fun and engaging way.
Deliver curriculum-based education programs to school groups from kindergarten to Grade 12 and provide students with positive learning experiences. Programs include THEMUSEUMs permanent education programs, themed weeks, and the Underground Studio MakerSpace education programs.
Work independently maintaining the Underground Studio Makerspace and deliver hands-on demonstrations and workshops to the public. Facilitating an inclusive and respectful environment for all participants of workshops.
Deliver THEMUSEUMs camp programs for children between the ages of 5-14.
Facilitate Birthday Parties, running fun, educational, and memorable programming for guests.
Assist with THEMUSEUM events and rentals.
Operate POS at Guest Services and within THESTORE to process admissions and merchandise sales.
Customer service focused tasks such as answering phones, answering guest inquiries, discussing memberships with guests, and completing research/surveys.
Other duties as assigned.
QUALIFICATIONS:
Applicants must be a minimum of 18 years old.
One year or more of teaching or camp experience (preferred).
Knowledge or skills in one or more of the following areas: Education, S.T.E.A.M. (Science, Technology, Engineering, Art, Math), History, Social Sciences, Museum Studies and/or Art.
Strong customer service, time management, leadership and communication skills.
Ability to provide accurate, enthusiastic, engaging and age-appropriate programming is a must.
Ability to be creative, patient, and multitask.
Passion for working with and educating children and adults in a fun and effective manner.
Experience working in a customer service environment, makerspace, museum, heritage or recreation setting.
Experience in program development is an asset.
Experience with Arduino, coding, sewing, screen printing, 3D printers and woodworking are an asset.
Preferred First Aid and CPR training/certificate.
Smart Serve designation considered an asset.

About THEMUSEUM
THEMUSEUMs vision is to awe, inspire and enlighten and as such stages permanent and travelling exhibitions for both children and adults. Located in downtown Kitchener, THEMUSEUM is a charitable organization offering a unique blend of art and technology at play and provides an opportunity for children and adults to learn in a fun, imaginative, non-traditional, creative environment. We encourage you to visit our website at www.THEMUSEUM.ca.
THEMUSEUM strives to promote diversity in the workplace by considering all future employees without regard to race, religion, colour, age, sex, national origin, sexual identity, gender identity, genetic disposition, neurodiversity, disability, or any other minority. We encourage applications from all qualified individuals. THEMUSEUM will accommodate all applicants as required by Human Rights Legislation and the AODA.

We thank all interested applicants. However, THEMUSEUM will contact only those candidates to be interviewed. No phone calls please.