1

Internship Machine Learning Jobs in Ontario (NOW HIRING)

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

Work with LLM APIs, machine learning models, and automation pipelines to support intelligent ... Internship, co-op, academic project, or personal project experience in software engineering, AI/ML ...

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... this internship will support revenue growth through prospecting, calls and emails to potential ...

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... this internship will support revenue growth through prospecting, calls and emails to potential ...

Over the course of the internship, you will drive that project forward with guidance from your ... User Interfaces for generative AI or Machine Learning Systems, Information Visualization, Software ...

Over the course of the internship, you will drive that project forward with guidance from your ... User Interfaces for generative AI or Machine Learning Systems, Information Visualization, Software ...

... interns; foster a culture of scientific rigor and rapid experimentation. - Stay current with ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

CA$49K - CA$51K/yr

... internship to be eligible to apply. This is a full-time position requiring 37.5 hours per week ... data for machine learning) * Analyze structured and unstructured data, organize findings and ...

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

... machine learning sectors - presents a challenging design problem that requires system-level ... Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or ...

... machinery. With over 300 years of combined experience, our long-standing brands of Arpac, Fischbein ... Competitive compensation for internship positions * Handson learning and mentorship from ...

Showing results 41-60

Internship Machine Learning information

What is an internship machine learning?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an internship machine learning?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What is the difference between Internship Machine Learning vs Data Science Intern?

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the most commonly searched types of Machine Learning jobs in Ontario?

The most popular types of Machine Learning jobs in Ontario are:

What are popular job titles related to Internship Machine Learning jobs in Ontario?

For Internship Machine Learning jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning jobs in Ontario look for?

The top searched job categories for Internship Machine Learning jobs in Ontario are:

What cities in Ontario are hiring for Internship Machine Learning jobs?

Cities in Ontario with the most Internship Machine Learning job openings:

Infographic showing various Internship Machine Learning job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Intermediate AI Developer II, Full Stack (Python/React)

Intact Financial

Toronto, ON • Hybrid

Full-time

Life, Retirement

Re-posted 29 days ago


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

94,200 - 115,200

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

10%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

We're looking for an Intermediate AI Developer, Full Stack (Python/React) II to join our growing team!


What you'll do here:

  • Join a cross-functional team developing innovative data product to solve business problems.
  • Write well-designed, efficient code that can be tested, repeatedly.
  • Influence the AI roadmap of the biggest P&C insurer in Canada.
  • Keep pace with new technologies and use them in your own solutions.
  • Work within a multi-disciplinary environment mixing people from data science, software engineering, actuarial science, business and design.
  • Share knowledge with interns, data scientist and other software developer to grow, as a team.

What you bring to the table:

  • A bachelor's degree in computer science, software engineering or any combination of equivalent education and experience.
  • Proficiency in Python, REST/ GraphQL APIs, AWS (S3, Lambda, sagemaker or similar services).
  • Experience with machine learning and scientific computing libraries such as scikit-learn, NumPy, SciPy, Tensorflow, etc.
  • Experience with pipelines, Ingestions/automations.
  • Good knowledge of software engineering practices such as design patterns, knowledge of the development cycle and other tools such as Git, Jira, Confluence.
  • The commitment to be a great, collaborative teammate.
  • Unlimited curiosity and a passion to challenge the status quo.
  • Ability to focus on vaguely defined issues requiring the application of a creative approach.
  • Strong communication, time management and work organization skills.
  • If you don't have experience in the AI field, a strong motivation to learn this new and exciting field.
  • For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.
  • No Canadian work experience required however must be eligible to work in Canada.

Nice-to-have:

  • Highly desired: Frontend experience with React framework, Typescript, async handling & state management tool.
  • Knowledge of DevOps modern tools such as Docker, Kubernetes, ELK.
  • Knowledge of the development technologies such as MongoDB, Kafka.
  • Experience developing data and machine learning pipelines.
  • Experience in Insurance domain.

#LI-Hybrid

Il s'agit d'un nouveau role au sein de notre equipe en pleine croissance | This role is a new member of our growing team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.

Employment Type: FULL_TIME