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Home Canada Blog Machine Learning & AI Computer Vision Engineer Salary in Canada: Complete Guide

Computer Vision Engineer Salary in Canada: Complete Guide

Vamshi Krishna sanga by Vamshi Krishna sanga
June 16, 2026
in Machine Learning & AI
Computer Vision Engineer Salary in Canada Guide

Computer Vision Engineer Salary in Canada Guide

OpenAI
Summarize with ChatGPT Ask questions about this article

A Computer Vision Engineer is a skilled professional who helps in creating algorithms and Machine Learning (ML) models. They are also responsible for testing the efficiency of these algorithms. The rise of AI has increased the demand for skilled AI/ML Engineers. 

In this blog, we will discuss the salary of a Computer Vision Engineer in Canada, depending on experience and location. We will also discuss the skills and qualifications required for this job. Canada is a global innovation hub with several AI-focused organizations in Ontario, Toronto, and Vancouver. Save this guide if you are interested in a career in Computer Vision Engineering.

Computer Vision Engineer Salary in Canada Explained

A Computer Vision Engineer earns good compensation in Canada, as companies rely on AI agents and products to boost their productivity. This increases demand for creating and updating more AI tools that can save time on tasks. The average Computer Vision Engineer salary in Canada is around CAD 89,000 annually.

Salary by Experience Level

A Computer Vision Engineer can earn between CAD 72,000 and 118,000 annually in Canada if they have the required skillset and qualifications. Below is the table of annual salary ranges by years of experience.

Experience in yearsAnnual salary range (CAD)
0-174,000 – 103,000
1-372,000 – 111,000
4-675,000 – 118,000
7-972,000 – 111,000

Source: Glassdoor, as of June 2026

Salary by Top Canadian Cities

A Computer Vision Engineer’s salary depends not only on experience but also on job location and the company hiring them. Here is the tabular data on salaries by city in Canada.

City Annual salary range (CAD)
Montreal 69,000 – 99,000
Vancouver76,000 – 115,000
Toronto75,000 – 122,000

Source: Glassdoor, as of June 2026

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Roles and Responsibilities of a Computer Vision Engineer

A Computer Vision Engineer is an important part of the AI team, as they handle testing and running AI models. They create algorithms and conduct testing on artificial neural networks. Basic responsibilities in this role are:

  • Sourcing and processing large datasets
  • Designing and testing algorithms
  • Managing production environments or mobile apps

Factors Influencing Computer Vision Engineer Salaries

A Computer Vision Engineer’s salary is dependent on several factors, such as location, educational qualifications, experience, and company policies.

Education & Certifications

Education is vital if you want to build a successful career in this field. This is a specialized skill that develops through training and education. You can check courses offered through upGrad as experts in this field design them. Apart from that, you can try to get any of these certifications to boost your chances of success.

  • Programming fundamentals
  • Cloud certifications
  • Machine Learning certifications

Skills that Can Increase Salary

Let’s discuss some skills that can directly impact your salary as a Computer Vision Engineer. Given the shortage of skilled professionals and high demand, professionals with expertise in advanced AI tools stand a good chance of receiving a salary increase.

  • Deep Learning and Neural Networks
  • Cloud computing
  • Natural Language Processing (NLP)

Industry and Employer Type

A Computer Vision Engineer deals with complex AI technologies and is required to conduct research consistently to keep up with the growing demands of various sectors. Multinational companies can offer high salaries with bonuses, while small or research-based companies might offer lower salaries.

Some of the industries that employ these engineers are:

  • Healthcare: The healthcare industry needs help in developing diagnostic tools and advanced medical imaging systems. These industries have strict regulatory requirements and pay good remuneration to qualified professionals.
  • Automotive: The automotive industry needs help in developing and updating self-driving cars. As demand for safe and reliable vehicles increases, this industry also offers competitive salaries to qualified professionals.
  • Aerospace: The aerospace industry needs help in building navigation and defense systems. Skilled professionals can get hefty compensation in this industry.

Also Read: What is a Computer Vision Engineer? Roles, Skills & Career Guide

Why upGrad is Your Gateway to a Computer Vision Career in Canada

If you are interested in upskilling or starting your career in Computer Vision Engineering, you should have the relevant qualifications and skillset. There are several Artificial Intelligence (AI)/Machine Learning (ML) programs and certifications available on the upGrad platform that can help you build a career in this field. Some of the best online options are:

  1. Master of Science in Machine Learning and AI from Liverpool John Moores University: This WES-recognized Master’s program can be completed in 18 months. The benefits of opting for this program are:
  • More than 500 hours of learning
  • Industry-specific projects
  • Option to attend the fundamentals of programming course
  1. Executive Post Graduate Program in Applied AI and Agentic AI from IIIT-Bangalore: This executive certification can be completed in around 30 weeks. The benefits of opting for this certification are:
  • Learn about Applied AI and Agentic AI
  • More than 240 hours of content
  • Experience the latest tools such as LangChain or LangGraph

🎓 Explore Our Top-Rated Courses in Canada

Take the next step in your career with industry-relevant online courses designed for working professionals in Canada.

  • DBA Courses in Canada
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View All Courses

FAQs on Computer Vision Engineer Salary in Canada Guide

What is the average Computer Vision Engineer salary in Canada?

The average salary of a Computer Vision Engineer in Canada is around CAD 89,000 annually. The salary can vary depending on experience, skills, and location. 

Source: Glassdoor, as of June 2026

Is Computer Vision Engineering a high-paying job in Canada?

Yes, Computer Vision Engineering is a high-paying job in Canada. This job also offers good prospects, as organizations are increasingly adopting AI/ML technologies.

Which city in Canada pays the highest salary for Computer Vision Engineers?

A Computer Vision Engineer working in Vancouver or Toronto gets the highest salary in Canada.  It can vary depending on the experience level and company policies.

Do Computer Vision Engineers earn more than Software Engineers in Canada?

A Computer Vision Engineer earns more than a Software Engineer in Canada. According to ERI, a Software Engineer in Canada has an average salary of CAD 128,533, while a Computer Vision Engineer has an average salary of CAD 135,428 annually. 

Source: ERI, as of June 2026

What skills increase a Computer Vision Engineer’s salary?

A Computer Vision Engineer should have these skills to get a salary increment:

Model deployment
Knowledge of Python or C++
Research and development

Vamshi Krishna sanga

Vamshi Krishna sanga

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Back in 2015, upGrad’s founders noticed that the future of work demands industry professionals to upskill continuously – not just for their organization’s benefit but also for their personal growth. Earlier, learning would come to a halt as soon as professionals entered the workspace. upGrad brought along novel approaches towards imparting and receiving education by offering people a chance to upskill while working. We have always strived to facilitate quality education to the upcoming workforce through industry-relevant UG and PG programs.

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From being incepted in 2015 to teaching a learner base of 10k+ in 2018 to crossing the 1M mark in 2020 – upGrad has always focused on staying dynamic and future-centric. This approach has helped us grow as an organization while catering best-in-class learning to our students. In 2021, upGrad became a unicorn with a valuation of $1.2B, expanding to North America, Europe, the Middle East, and the Asia Pacific. Only onwards and upwards from here!

Growing and Expanding Constantly
Growth has been our true constant in this journey. Whether it is entering the unicorn club or winning the Best Career Planning platform award, or being ranked the #1 startup in India per LinkedIn’s 2020 report – we’ve always strived to go above and beyond our current capacities and bring novel ideas to the table for the betterment of learners across the globe. Join us in this revolution and help us impact more lives!

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