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Machine Learning Engineer Intern Jobs in Toronto, ON

BDO Canada

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

BDO Canada

Senior Machine Learning Engineer

Oakville, ON · On-site

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

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 ...

Td

Senior Machine Learning Engineer

Toronto, ON

CA$170K - CA$250K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Architect scalable machine learning and ...

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 ...

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an extensive track record. * Architect scalable machine learning and Gen AI systems that integrate with ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Toronto, ON

Machine Learning Engineer Intern information

See Toronto, ON salary details

$21.9K

$115.2K

$205.7K

How much do machine learning engineer intern jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning engineer intern in Toronto, ON is $115,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,463.00 and $156,511.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

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

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Toronto, ON? The most popular types of Machine Learning Engineer jobs in Toronto, ON are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Toronto, ON? For Machine Learning Engineer Intern jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Toronto, ON look for? The top searched job categories for Machine Learning Engineer Intern jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Machine Learning Engineer Intern jobs? Cities near Toronto, ON with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Toronto, ON as of May 2026, with employment types broken down into 14% Internship, 36% Full Time, 36% Part Time, and 14% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $115,226 per year, or $55.4 per hour.

Intermediate Machine Learning Engineer

Hibernian General Insurance

Toronto, ON • Hybrid

CA$90K - CA$115K/yr

Other

Medical, Retirement

Posted 26 days ago

Job description

Experience Aviva

Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values - Care, Commitment, Community, and Confidence.

At Aviva Canada, we put people first, our employees, our customers, and our communities. We're proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We're not just about insurance; we're about making a real difference by protecting what matters most.

The Opportunity

We are looking for a talented and motivated Intermediate Machine Learning Engineer to join our AI/ML Operations & Platform team. The ideal candidate will have hands-on experience in building and deploying machine learning solutions, with an understanding of cloud technologies and data platforms. You will work closely with ML engineers, data scientists, and product teams to support the development and operationalization of ML models across the organization.

What you'll do:

  • Assist in designing and implementing ML pipelines and services in cloud and on-premise environments.

  • Collaborate with cross-functional teams to gather requirements and contribute to scalable ML solutions.

  • Support model deployment, monitoring, and performance optimization.

  • Apply MLOps practices such as CI/CD, model versioning, and retraining workflows.

  • Work with Snowflake and AWS services to support ML model deployment.

  • Contribute to the development and maintenance of on-premise ML workflows.

  • Ensure adherence to data privacy, security, and compliance standards.

  • Participate in code reviews and knowledge sharing within the team.

What you'll bring:

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

  • 2-4 years of experience in machine learning engineering or related roles.

  • Proficiency in Python, along with data processing and ML libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost).

  • Familiarity with AWS and/or Snowflake cloud services, as well as Linux-based systems.

  • Basic experience with Jenkins and containerization tools such as Docker.

  • Strong SQL skills, including an understanding of query optimization techniques.

  • Exposure to ML workflow tools (e.g., MLflow, Airflow) and monitoring frameworks is a plus.

  • Strong analytical and problem-solving abilities.

What makes you stand out:

  • Experience with Apache Spark and Snowpark for scalable data processing.

  • Exposure to cloud platforms (e.g., AWS, Snowflake, Azure, GCP).

What you'll get:

  • The salary band for this position ranges from $90,000 to $115,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.

  • Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.

  • Hybrid flexible work model.

  • Outstanding career development opportunities.

  • We'll support your professional development education.

  • Competitive vacation package with the option to purchase 5 extra days off per year.

  • Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.

  • Corporate wellness programs to support our employees' physical and mental health.

This job advertisement is for an existing vacancy which has been posted both internally & externally.

Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.

Aviva Canada has an accommodation process in place to provide accommodations for employees with disabilities. If upon commencement of employment you require a specific accommodation because of a disability, please contact your Talent Acquisition Partner so that an appropriate accommodation can be arranged. This process applies throughout your career with Aviva Canada.

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