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Machine Learning Engineer Intern Jobs in Hamilton, ON

What We're Looking For We're looking for a junior machine learning engineer to join our team and grow into a strong, hands‑on ML engineer. This is a role for someone early in their career who is ...

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 ...

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 ...

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...

Sr. AI Engineer

Ottawa, ON

CA$91K - CA$114K/yr

AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or equivalent) are considered an asset. Compensation A ...

Sr. AI Engineer

Oakville, ON

CA$91K - CA$114K/yr

AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or equivalent) are considered an asset. Compensation A ...

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Machine Learning Engineer Intern information

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 cities near Hamilton, ON are hiring for Machine Learning Engineer Intern jobs? Cities near Hamilton, ON with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Hamilton, ON as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Junior Machine Learning Engineer

Providius

Hamilton, ON • On-site

$60 - $80/hr

Other

Medical, Dental, Vision, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

What We’re Looking For

We’re looking for a junior machine learning engineer to join our team and grow into a strong, hands‑on ML engineer.

This is a role for someone early in their career who is eager to learn, comfortable getting their hands dirty with real data, and motivated to build a solid foundation in applied machine learning.

You will work under the direction of senior ML and engineering staff, contributing to real models and pipelines while developing your skills and judgment over time.

Position Overview

Working closely with senior engineers, you will:

  • implement, train, and evaluate models under guidance
  • prepare and explore real-world data
  • help build and maintain data pipelines
  • support experiments and document results
  • This role is hands‑on and engineering‑focused.

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 ownership and tackle increasingly open‑ended problems.

Duties and Responsibilities
  • Implement and train models under the guidance of senior engineers
  • Prepare, clean, and explore datasets, including feature engineering
  • Run experiments, record results, and help interpret findings
  • Build and maintain parts of the data pipeline and supporting tooling
  • Help integrate models into larger systems alongside the team
  • Write clear, testable, and maintainable code
  • Ask good questions, seek feedback, and learn from code review
Required Skills / Experience
  • 0–2 years of experience in machine learning, or strong academic or project experience
  • Programming ability in Python
  • Solid grounding in machine learning fundamentals
  • Willingness to work with real-world, imperfect data
  • Strong problem‑solving ability and a desire to learn
  • Ability to take direction and incorporate feedback
  • Clear communication in a team environment
What this Role Requires
  • Eagerness to learn and grow quickly
  • Comfort working with guidance and asking for help when needed
  • Pragmatism and a willingness to see tasks through
  • Attention to detail and care in the work
  • Ownership of your own learning and contributions
Nice to haves
  • Coursework, internships, or projects involving anomaly detection, time‑series, or behavioral modeling
  • Exposure to streaming or telemetry data
  • Familiarity with common ML libraries and tooling
  • Experience contributing to a shared codebase
Benefits
  • Dental care
  • Extended health care
  • On‑site parking
  • Paid time off
  • Vision care
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