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Machine Learning Engineer Intern Jobs in Hamilton, ON

The AI Engineer is responsible for designing, building, and operationalizing intelligent systems ... Establish and enforce AI and machine learning and data operational standards, governance, and best ...

Google Cloud Professional Data Engineer or Machine Learning Engineer is an asset; SnowPro Advanced: Data Scientist certification preferred. Benefits * Competitive Salary * Healthcare Benefit Package

APTPUO-Fall 2026-DTI6302 F

Ottawa, ON ยท On-site

CA$239.47/hr

Ecole de conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching Innovation Course Title: Machine Learning Operations Course Code: DTI6302 Section: B Course ...

MLOps Engineer - MLEAS

Hamilton, ON ยท On-site

CA$30/hr

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: * Build ML deployment ...

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: * Build ML deployment ...

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Showing results 1-20

Machine Learning Engineer Intern information

See Hamilton, ON salary details

$22.4K

$117.4K

$209.5K

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 Hamilton, ON is $117,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,651.00 and $159,442.00 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 job categories do people searching Machine Learning Engineer Intern jobs in Hamilton, ON look for? The top searched job categories for Machine Learning Engineer Intern jobs in Hamilton, ON are:
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 May 2026, with employment types broken down into 6% Internship, 61% Full Time, 24% Part Time, and 9% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $117,384 per year, or $56.4 per hour.

ML Engineer (BFSI) - MLEBAS

NavitasPartners

Mississauga, ON โ€ข On-site

CA$30/hr

Full-time

Posted 4 days ago


Job description

ML Engineer (BFSI)

Job Title: Machine Learning Engineer

Position Overview:
The ML Engineer will develop, deploy, and optimize machine learning solutions supporting fraud detection, risk analytics, customer intelligence, and financial forecasting.

Key Responsibilities:

  • Develop machine learning models and pipelines.
  • Build feature engineering frameworks.
  • Deploy production-grade ML solutions.
  • Optimize model performance and scalability.
  • Collaborate with data scientists and business teams.
  • Implement model monitoring and governance.

Required Skills:

  • Python
  • Machine Learning
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Spark ML
  • Feature Engineering
  • Model Deployment
  • SQL

Required Qualifications:

  • Bachelor's or Master's degree in Data Science, AI, Computer Science, or related field.
  • 5+ years of machine learning experience.

Mandatory Industry Experience:

  • Must have prior BFSI experience delivering fraud detection, credit risk scoring, customer segmentation, anti-money laundering, underwriting, or financial forecasting solutions.


For more details reach at resumes@navitassols.com