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Machine Learning Teaching Assistant Jobs in Toronto, ON

Manulife

Data Scientist

Toronto, ON · Hybrid

Apply statistical modeling, machine learning, experimentation, and AI evaluation techniques to solve business problems. * Support testing of AI assistants, copilots, RAG solutions, and agentic ...

New

BDO Canada

AI Engineer

Oakville, ON

CA$77K - CA$117K/yr

Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights ... While these tools assist our teams, our use of AI does not replace human decision making, and all ...

Marmon

Machine Operator 1

Woodbridge, ON

We're committed to making a positive impact on the world, providing you with diverse learning and ... Wear many hats and may be asked to assist with other areas in the shop/office/warehouse.

BDO Canada

AI Engineer

Markham, ON · On-site

CA$77K - CA$117K/yr

Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights ... While these tools assist our teams, our use of AI does not replace human decision making, and all ...

BDO Canada

AI Engineer

Toronto, ON · On-site

CA$77K - CA$117K/yr

Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights ... While these tools assist our teams, our use of AI does not replace human decision making, and all ...

Hibernian General Insurance

Data Scientist

Toronto, ON · On-site

CA$80K - CA$120K/yr

Your work will include building and deploying data pipelines, machine learning, and statistical ... Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment ...

Hibernian General Insurance

Data Scientist

Markham, ON · On-site

CA$80K - CA$120K/yr

Your work will include building and deploying data pipelines, machine learning, and statistical ... Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment ...

Loram

Machine Operator 1 - SPS

Toronto, ON

Assistant Manager, Superintendent or Assistant Superintendent GENERAL DESCRIPTION / PURPOSE ... Learning on the Fly * Action Oriented * Listening * Personal Learning Qualifications Experience:

CorGTA

Data Scientist - 12 month contract

Toronto, ON

CA$70/hr

Deep expertise in traditional machine learning algorithms (regression, classification, clustering ... At times, CorGTA or itsclient partners may utilize AI tools to assist with the hiring processes. By ...

Mohawk College

Professor, Computer Science

Hamilton, ON · On-site

... Machine Learning, Data Management for Artificial Intelligence and Internet of Things. * Can teach a ... Learner-centred approach and to assist in the development and application of alternate delivery ...

Royal Bank of Canada

AI Engineer

Toronto, ON · Hybrid

Develop conversational AI systems that assist sales professionals in client interactions and help ... Must-have * A PhD or Master's degree in Computer Science, Machine Learning, Deep Learning, or ...

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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All JobsMachine Learning Teaching JobsMachine Learning Teaching Assistant JobsMachine Learning Teaching Assistant Jobs in Toronto, ON

Machine Learning Teaching Assistant information

What is a machine learning teaching assistant?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.

How does a machine learning teaching assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

What are the key skills and qualifications needed to thrive as a machine learning teaching assistant, and why are they important?

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.

What are the most commonly searched types of Machine Learning Teaching jobs in Toronto, ON?

The most popular types of Machine Learning Teaching jobs in Toronto, ON are:

What are popular job titles related to Machine Learning Teaching Assistant jobs in Toronto, ON?

For Machine Learning Teaching Assistant jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Machine Learning Teaching Assistant jobs in Toronto, ON look for?

The top searched job categories for Machine Learning Teaching Assistant jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Machine Learning Teaching Assistant jobs?

Cities near Toronto, ON with the most Machine Learning Teaching Assistant job openings:

Machine Learning Teaching Assistant jobs near you
Infographic showing various Machine Learning Teaching Assistant job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

Manulife

Toronto, ON • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Join our Canadian AI team as a Data Scientist, where you'll apply advanced analytics, machine learning, generative AI, and emerging agentic AI techniques to solve complex business challenges and deliver actionable insights that drive strategic decision-making. In this role, you will work with large and complex datasets across multiple systems, develop data-driven and AI-enabled solutions that improve business processes, and help evaluate new AI capabilities for practical business use.

You'll collaborate closely with subject matter experts, AI Product Managers, Agentic Engineers, and technology partners to understand business needs, customer journeys, data sources, and solution requirements, while contributing to projects that support broader organizational goals.

Position Responsibilities:

  • Develop analytics, machine learning, and generative AI solutions that improve business processes and support strategic decisions.
  • Analyze large, complex datasets to uncover actionable insights, business opportunities, and measurable value drivers.
  • Apply statistical modeling, machine learning, experimentation, and AI evaluation techniques to solve business problems.
  • Support testing of AI assistants, copilots, RAG solutions, and agentic workflows in partnership with technology and engineering teams.
  • Communicate results of moderate complexity to business partners and recommend solution options to senior data science team members.
  • Lead end-to-end data science projects of moderate scope, from problem framing through analysis and recommendation.
  • Connect and integrate data across multiple systems to support data-driven and AI-enabled decision-making.
  • Partner with subject matter experts to understand business processes, data sources, customer journeys, and adoption needs.
  • Document analytical methods, assumptions, limitations, and technical decisions clearly, including support for peer review, governance, and model risk management activities.
  • Understand how assigned projects support broader business strategy, including the core drivers of business value, adoption, and decision quality.
  • Share technical expertise, contribute to best-practice development, and support a collaborative, knowledge-sharing culture across the data science team.

Required Qualifications:

  • Advanced degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, Artificial Intelligence, or related field; or Bachelor's degree with equivalent technical experience.
  • Minimum of 2 years of applicable experience in data science, advanced analytics, machine learning, or AI solution development.
  • Strong programming capability in Python, R, or similar analytical programming languages; SQL experience strongly preferred.
  • Working knowledge of statistical modeling, machine learning algorithms, experimental design, and model evaluation techniques.
  • Applied understanding of exploratory data analysis, data wrangling, feature development, data visualization, model production concepts, and insight generation.
  • Familiarity with generative AI, LLMs, prompt engineering, embeddings, RAG, or AI evaluation approaches.
  • Ability to analyze structured and unstructured data and translate findings into business recommendations.
  • Strong communication skills with the ability to explain analytical concepts to technical and non-technical stakeholders.

Preferred Qualifications:

  • Experience with Azure, Databricks, Git, MLflow, or cloud-based analytics environments.
  • Familiarity with vector databases, semantic search, embeddings, or knowledge retrieval methods.
  • Exposure to LangChain, LangGraph, Semantic Kernel, or similar agentic AI frameworks.
  • Experience supporting experimentation, proof-of-concepts, MVPs, or AI product development.
  • Understanding of Responsible AI, model governance, privacy, security, and risk considerations in regulated environments.

When you join our team:

  • We'll empower you to learn and grow the career you want.
  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team, we'll support you in shaping the future you want to see.

#LI-Hybrid

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$94,430.00 CAD - $144,430.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

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