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Artificial Intelligence Machine Learning Jobs in Toronto, ON

Waabi

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

... artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature. - Work with large datasets from various sources as well as Waabi ...

Quincus

Machine Learning Engineer

Toronto, ON

Using AI and machine learning, we have digitized and optimized the logistics process while giving ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $154,000 - $199,500 CAD The pay details ... We develop and deploy industry-leading machine learning systems that impact the lives of over 27 ...

Td

Machine Learning Engineer

Toronto, ON

CA$120K - CA$250K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $120,000 - $250,000 CAD The pay details ... As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ...

Clio

Machine Learning Engineer

Toronto, ON · Hybrid

CA$129K - CA$174K/yr

Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ... use artificial intelligence to improve all of our operations. In recruitment, AI helps us ...

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All JobsArtificial Intelligence Machine Learning JobsArtificial Intelligence Machine Learning Jobs in Toronto, ON

Artificial Intelligence Machine Learning information

See Toronto, ON salary details

$27.2K

$139.4K

$242.4K

How much do artificial intelligence machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for artificial intelligence machine learning in Toronto, ON is $139,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,018.00 and $163,192.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What does an artificial intelligence machine learning professional do?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in artificial intelligence machine learning?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

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

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

What are popular job titles related to Artificial Intelligence Machine Learning jobs in Toronto, ON?

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

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

The top searched job categories for Artificial Intelligence Machine Learning jobs in Toronto, ON are:

Artificial Intelligence Machine Learning jobs near you
Infographic showing various Artificial Intelligence Machine Learning job openings in Toronto, ON as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $139,396 per year, or $67 per hour.

Full-Time Faculty, MSc. Artificial Intelligence (AI) Program

International Business University

Toronto, ON • On-site, Remote

CA$110K - CA$120K/yr

Full-time

Re-posted 2 days ago

Job description

Job Title: Full-Time Faculty, MSc. Artificial Intelligence (AI) Program

# of Openings: 1 opening for the Industrial Innovation specialization or Data Engineering specialization

Term: Indefinite

Department: EDVP Office

Reports to: Academic Director

Location: Toronto, Ontario

Expected Salary: $110,000.00 - $120,000.00 per annum

Reporting to the Academic Director, the successful Full-time Faculty candidate will be responsible for high-quality curriculum development, delivery of the courses, and student support and mentorship in the Master of Science in Artificial Intelligence Program. The professor is also responsible for analysis of student performance and curricular trends, and internal and external communications. 

The ideal candidate will also demonstrate a strong commitment to equity, diversity, inclusion and to the promotion of a respectful and collegial learning and working environment on the IBU campuses. 

Qualifications:

  • Preference will be given to candidates with a terminal degree requirement and a demonstrated commitment to teaching and research. 
  • PhD in Artificial Intelligence, Computer Science, Data Science, Machine Learning, or a closely related field is required.
  • Demonstrated track record of scholarly research, applied research, or industry engagement in AI-driven innovation.
  • Expertise in areas such as machine learning, deep learning, data engineering, intelligent systems, robotics, or applied AI solutions.
  • Experience teaching topics including Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Cybersecurity, Human-Computer Interaction, or AI applications in industry.
  • Demonstrated relevant academic background, research portfolio and a record of teaching excellence.
  • Experience with remote/online/hybrid instruction is desirable. 

Application Process:

Application Packages should contain the following:

  • A cover letter
  • A current CV
  • A statement of teaching philosophy and evidence of teaching effectiveness (e.g., examples of peer and/or student evaluations)
  • A research plan (up to two single-spaced pages)
  • Sample publications or a research portfolio
  • Indigenization, Equity, Diversity and Inclusion (I-EDI) Statement
  • Contact information of three referees will be requested of longlisted candidates

Note: Application materials should be submitted as a single combined PDF file, with a file name that identifies the applicant.

Candidates shall address their application to: Dr. Pavlos Gkasis, Academic Director. This position is a new vacancy, and the posting remains open until the position is filled. The position is subject to budgetary approval. Any questions may be sent to careers@ibu.ca. 

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