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Home Canada Blog Machine Learning & AI In-Demand Machine Learning Jobs in Canada for 2025 – Salaries, Skills & Demand

In-Demand Machine Learning Jobs in Canada for 2025 – Salaries, Skills & Demand

Vamshi Krishna sanga by Vamshi Krishna sanga
November 7, 2025
in Machine Learning & AI
ML Jobs in Canada: Pay, Skills & Demand

According to the 2025 Canada Salary Guide, recruitment strategies and tech salaries for Canadian professionals are increasing, particularly for candidates skilled in emerging technologies such as AI and machine learning. The report also states that skills in machine learning and data science can boost technology salaries by over 35%.

With AI transforming industries, professionals who can harness data and build intelligent systems are becoming increasingly valuable and sought after. In this article, let’s explore the machine learning jobs in Canada to find the best salaries, skills, and demands of these professionals.

Explore the Top In-Demand Machine Learning Jobs in Canada

Canada’s growing tech industry is creating a high demand for skilled machine learning professionals across sectors. Here are some of the top in-demand machine learning jobs in Canada today.

Job Role Average Annual Salary Key Skill Required
Machine Learning Engineer CAD 124,946 Cloud Computing, Python, TensorFlow
Data Scientist CAD 97,055 Data Analysis, Data Visualization, ML Algorithms
ML Ops Engineer CAD 97,168 Cloud Infrastructure, Kubernetes, CI/CD
AI Research Scientist CAD 185,643 Generative AI, NLP, LLMs
AI Product Manager CAD 99,948 AI Strategy, Business Development
Cloud Architects CAD 123,825 Proficiency in AWS, Azure, or Google Cloud, Architecture design ability, and Familiarity with DevOps tools and practices
Cloud Systems Engineers CAD 93,413 Experience in managing cloud infrastructure, Troubleshooting and optimization, and Proficiency in scripting languages and automation

Top Companies Hiring ML Experts in Canada 

One of the leading companies that hires ML experts in Canada is Amazon, which has a substantial presence there. It primarily hires them for roles like AI engineer and applied scientist. Its Ring AI division also recruits many ML experts in Toronto. Cohere is one of the top AI unicorns in Canada – a natural language processing (NLP) platform that leads in large language models.  

The following table names the other leading companies hiring ML experts in Canada:

Sector  Companies
Technology
  • Google 
  • Microsoft
  • Electronic Arts (EA)
  • Autodesk 
  • Stripe
  • Reddit
  • Meta (Facebook) 
Artificial Intelligence (AI) and Tech Startups 
  • Scale AI
  • Faire
  • Ada
  • Waabi
  • Xanadu
  • Ideogram
  • Quandri
Financial Services 
  • Royal Bank of Canada (RBC)
  • Bank of Montreal (BMO) Financial Group
  • Toronto-Dominion (TD) Bank 
  • Scotiabank
  • Morgan Stanley
  • Mastercard
Enterprise Solutions and Consulting 
  • Deloitte
  • Capco
  • Kinaxis Inc. 
Media, Healthcare, and Other Industries 
  • Deep Genomics 
  • Sanofi
  • Instacart
  • Coveo 

Sources: Wellfound.com, as of October 27, 2025; LinkedIn, as of October 27, 2025; and Quora, as of October 27, 2025

ML Learning Roadmap and Career Progression 

If you want to become an ML professional in Canada, you must master the following:

Broader Area Specific Areas
Foundational Skills 
  • Programming 
  • Statistics and Mathematics 
ML Fundamentals 
  • Core Concepts 
  • ML Algorithms 
  • Metrics and Evaluation 
Frameworks and Tools 
  • ML Libraries 
  • Data Visualization and Manipulation 
Specializations and Advanced Topics
  • Deep Learning 
  • Generative AI
  • Machine Learning Operations (MLOps)
Experience and Projects 
  • Building a portfolio.
  • GitHub and Kaggle
  • Co-ops and Internships 

Sources: Scaler, as of October 27, 2025;, SprintZeal, as of December 19, 2023; and Great Learning, as of October 27, 2025

The different job roles that ML professionals can work in at various stages of their careers in Canada may be enumerated as follows:

Stage Specific Roles
Entry-Level 
  • Junior Software Engineer 
  • Data Analyst
  • Junior ML Engineer 
Intermediate 
  • ML Engineer 
  • Data Scientist
  • Computer Vision Engineer or NLP Engineer  
Leadership and Senior Roles 
  • Senior ML Manager
  • AI Research Scientist 
  • ML Engineering Manager 
  • AI Product Manager

Sources: Sources: Scaler, as of October 22, 2025;, SprintZeal, as of December 19, 2023; and Great Learning, as of October 27, 2025

How to Prepare for High-Paying ML Roles

The following table enumerates the different steps you can take to prepare appropriately for the top ML roles in Canada in terms of payment:

Stage Specific Roles
Building Technical Skills 
  • Learning Programming
  • Mastering Deep Learning and ML
  • Studying Statistics and Data Science 
  • Gaining Experience in Cloud Computing
  • Focusing on MLOps 
Building a Portfolio and Gaining Practical Experience 
  • Working on Personal Projects
  • Participating in Communities and Contests 
  • Seeking Internships
Enhancing Your Credentials 
  • Pursuing Specialized Certifications
  • Considering Advanced Degrees
  • Tailoring Your Resume 
Preparing for the Job Market 
  • Networking 
  • Developing Soft Skills
  • Preparing for Interviews 

Sources: Brainstation.io, as of October 27, 2025; and upGrad on May 7, 2025 and September 21, 2025

Essential Skills for Succeeding in Machine Learning Jobs

Machine learning involves using mathematical and statistical methods to understand and work with data. Professionals in this field require strong technical skills, including coding and data analysis, as well as soft skills, such as clear communication and creative problem-solving.

Essential Technical Skills for Machine Learning Jobs

  • Skills in Software Engineering:  In machine learning, it’s important to understand statistics and how to work with numbers and data. For instance, graduates should know how to write code and organize extensive data. This required them to have a good understanding of basic data structures to build innovative and efficient algorithms.
  • Skills in Data Science: Languages like Python, SQL, C++, R, and Java are functional in data science for building models and analyzing data. Learning math, probability, and statistics can also help you understand and improve your machine learning skills.
  • Domain Expertise: Machine learning engineers build innovative software to automate tasks and solve problems for clients. Hence, they need to accurately understand client requirements and design systems that meet those needs. They should also be familiar with the specific industry or domain to create valuable and reliable features.


Also Read:
Want a 6-Figure AI Job in Canada? 

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Essential Soft Skills for Machine Learning Jobs:

  1. Communication Skills: ML professionals must work effectively with other team members, including data scientists, analysts, and developers. Hence, along with technical expertise, they need good communication skills.
  2. Problem-Solving Skills: Machine learning (ML) presents critical challenges that require professionals to devise innovative, creative solutions through careful thinking. Hence, problem-solving skills are essential for analyzing complex problems.
  3. Time Management: As an ML professional, you might juggle several tasks at once. It’s essential to stay organized, plan your work effectively, and complete tasks on time, thus making time management a crucial skill.
  4. Teamwork: Machine learning engineers often work with a team of designers, marketers, and developers. Hence, being a team player helps in running projects smoothly.
  5. Upskilling: Upskilling is another significant aspect of the machine learning profession. ML engineers are required to stay in tune with the latest technologies and developments through certifications and courses.

Also Read: Best Online Python Courses for Machine Learning in Canada

Career Growth Outlook 2025-2030

Companies in Canada are actively recruiting ML professionals due to a consistent shortage of skilled tech professionals, especially in ML and AI. Reports state that most of such employers find it hard to get qualified candidates. 

Canadian cities such as the following are now thriving tech centers, and it is here that you would find the most AI and ML career opportunities in the country:

  • Toronto
  • Vancouver 
  • Montreal 
  • Ottawa
  • Edmonton
  • Calgary 

The most promising career paths for ML aspirants in Canada focus primarily on innovation and specialization:

  • Generative AI Specialist
  • MLOps Engineer 
  • AI Research Scientist 
  • Ethical AI Specialist
  • AI Product Manager 

Unlock High-Paying Job Opportunities in Canada with upGrad’s AI & ML Programs

If you want to unlock job opportunities in Canada in in-demand roles like data science or machine learning engineering, upGrad is the best platform to enroll for. upGrad offers some of the best online courses, including online AI and ML programs, available in collaboration with top global universities. These programs guarantee the best learning experience for candidates.

  • Post Graduate Certificate in Generative AI (E-Learning), upGrad Institute
  • Master of Science in Machine Learning & AI, Liverpool John Moores University
  • Executive Diploma in Machine Learning and AI, IIIT Bangalore

🎓 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
  • Data Science Courses in Canada
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  • Master of Education Courses in Canada
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  • Digital Marketing Courses in Canada
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  • Generative AI Courses in Canada

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FAQs on In-Demand Machine Learning Jobs in Canada

Q: What are the highest-paying machine learning jobs in Canada?
Ans: Machine Learning Engineers, AI Research Scientists, and Cloud Architects are among the highest-paid ML jobs in Canada.

Q: What skills are most in demand for ML professionals?
Ans: Technical skills, such as software engineering, data science, and domain knowledge, along with soft skills like robust communication, problem-solving abilities, teamwork, and effective time management, are among the most in-demand machine learning skills.

Q: What industries are hiring ML experts the most?
Ans: Banks, insurance companies, and fintech firms in Canada actively hire AI and ML experts.

Q: Which cities in Canada have the highest demand for ML professionals?
Ans: Edmonton is among the fastest-growing hubs for AI and machine learning research, thereby offering high-paying opportunities in this field. Toronto, Vancouver, Montreal, Ottawa, and Calgary are among other cities.

Q: How does upGrad’s ML program help professionals secure jobs?
Ans: upGrad’s Machine Learning program equips professionals with in-demand skills through hands-on projects, mentorship, and industry-relevant curriculum. It also offers support, such as resume building, interview preparation, and job placement assistance, to boost hiring chances for a machine learning career.

Vamshi Krishna sanga

Vamshi Krishna sanga

25 articles published

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