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Machine Learning Jobs in Toronto, ON (NOW HIRING)

BDO Canada

Senior Machine Learning Engineer

Oakville, ON · On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions. * Apply appropriate ML algorithms to structured and unstructured data problems. * Evaluate model ...

BDO Canada

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions. * Apply appropriate ML algorithms to structured and unstructured data problems. * Evaluate model ...

Td

Research Machine Learning Scientist

Toronto, ON

CA$140K - CA$250K/yr

We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs. Our research broadly ...

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and ...

Providius

Junior Machine Learning Engineer

Hamilton, ON · On-site

You will be writing code, working with messy, real-world data, and learning how machine learning systems are built and run in practice. Over time, as you build experience, you will take on more ...

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Autodesk

Intern, Machine Learning Developer

Toronto, ON · On-site +1

As an Artificial Intelligence / Machine Learning (AI/ML) Intern at Autodesk, you will contribute to the development of our AI platform capabilities - building shared frameworks and tools that enable ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs. Our research broadly ...

Workday

Senior Machine Learning Engineer

Toronto, ON · On-site

Our AI organization is responsible for seamlessly embedding cutting-edge machine learning, Generative AI, and autonomous agents directly into Workday's core platform-optimizing the HR and financial ...

TheAppLabb

Sr. Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

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The App Labb

Sr. Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

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Showing results 1-20

All JobsMachine Learning JobsMachine Learning Jobs in Toronto, ON

Machine Learning information

See Toronto, ON salary details

$103.1K

$150.5K

$187.1K

How much do machine learning jobs pay per year?

As of Jul 6, 2026, the average yearly pay for machine learning in Toronto, ON is $150,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,109.00 and $178,938.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are the most commonly searched types of Machine Learning jobs in Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Machine Learning jobs in Toronto, ON? For Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Toronto, ON look for? The top searched job categories for Machine Learning jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Machine Learning jobs? Cities near Toronto, ON with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $150,477 per year, or $72.3 per hour.
Machine Learning Engineer II, Core Engineering

Machine Learning Engineer II, Core Engineering

Pinterest

Toronto, ON • On-site, Remote

Other

Posted 14 days ago

Job description

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems 

What we're looking for:

  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • M.S. or PhD in Machine Learning or related areas
  • Expertise in scalable realtime systems that process stream data
  • Passion for applied ML and the Pinterest product

Nice To Have:

  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

Relocation Statement: 

  •  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from the Toronto office (85 Richmond St. W).

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