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Internship For Machine Learning Jobs in Toronto, ON

United Airlines

Machine Learning Engineer

Toronto, ON · On-site

What's in it for you * We thrive on the challenge to be our best progressive thinking to keep ... Five or more years building Deep Learning or Machine Learning models in production environments

Priceline

Senior Machine Learning Developer

Toronto, ON · Hybrid

CA$155K - CA$180K/yr

This role is eligible for our hybrid work model: Two days in-office. Machine Learning Developer The Search Platform at Priceline is the intelligence layer behind how millions of travelers discover ...

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All JobsFor Machine Learning JobsInternship For Machine Learning JobsInternship For Machine Learning Jobs in Toronto, ON

Internship For Machine Learning information

What types of projects and responsibilities can I expect during a Machine Learning internship?

As a Machine Learning intern, you'll typically work on data preprocessing, exploratory data analysis, model development, and performance evaluation under the guidance of experienced engineers or data scientists. Your daily tasks might include cleaning datasets, experimenting with different algorithms, and collaborating with team members to refine models for real-world applications. Interns often participate in regular team meetings, code reviews, and may present findings to stakeholders. This hands-on experience not only builds your technical skills but also helps you understand how machine learning solutions are integrated into business processes.

What are the key skills and qualifications needed to thrive as an Intern for Machine Learning, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of mathematics, statistics, and programming languages such as Python, supported by coursework or a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are typically expected. Analytical thinking, curiosity, and effective communication help interns excel in collaborative, fast-paced environments. These skills enable interns to contribute meaningfully to projects, learn quickly, and adapt to evolving challenges in machine learning.

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

AspectInternship For Machine LearningData Science Intern
Required SkillsProgramming (Python, R), ML algorithms, data preprocessingStatistics, data analysis, programming, visualization
Work EnvironmentDeveloping ML models, algorithm tuning, model deploymentData analysis, reporting, insights generation
Industry UsageTech, AI startups, research labsBusiness, finance, healthcare, tech

Internship For Machine Learning focuses on developing and deploying machine learning models, requiring skills in algorithms and programming. Data Science Internships emphasize analyzing data, generating insights, and reporting. Both roles often overlap but serve different core functions within data-driven projects.

What is an internship for machine learning?

An internship for machine learning is a temporary position offered to students or recent graduates who want to gain practical experience working with machine learning algorithms, models, and data. Interns typically work under the supervision of experienced engineers or data scientists and are involved in tasks such as data preprocessing, building and training models, and evaluating their performance. These internships provide hands-on exposure to tools, libraries, and real-world projects, helping interns develop valuable technical and problem-solving skills. Machine learning internships are commonly found in tech companies, research labs, and startups.
What are popular job titles related to Internship For Machine Learning jobs in Toronto, ON? For Internship For Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Internship For Machine Learning jobs in Toronto, ON look for? The top searched job categories for Internship For Machine Learning jobs in Toronto, ON are:
Internship For Machine Learning jobs near you
Infographic showing various Internship For Machine Learning job openings in Toronto, ON as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 20% Part Time, 1% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Machine Learning Engineer (Energy) - MLEEAS

NavitasPartners

Toronto, ON • On-site

$30/hr

Other

Posted 13 days ago

Job description

Job Title : Machine Learning Engineer (Energy)Industry

Energy & Utilities

Position Overview

The ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics.

Responsibilities
  • Develop machine learning pipelines.
  • Build predictive analytics solutions.
  • Deploy ML models into production.
  • Optimize model performance and monitoring.
  • Collaborate with data scientists and engineers.
  • Support AI-driven operational excellence programs.
Required Skills
  • Python
  • Machine Learning
  • TensorFlow
  • PyTorch
  • Scikit-Learn
  • Databricks ML
  • Feature Engineering
  • Model Deployment
Preferred Skills
  • Predictive Maintenance
  • Demand Forecasting
  • Energy Load Optimization
  • Renewable Energy Analytics
Mandatory Experience
  • 5+ years in Machine Learning Engineering.
  • Must have prior Energy sector experience.

For more details reach at resumes@navitassols.com

Apply