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Trainee Machine Learning Engineer Jobs in Ontario

Hays

Senior Machine Learning Engineer Hourly Rat e: 80-100/hr Location : Remote Length : 6 month contract (long term potential) Your New Company Our client is a fast-paced, product-led business building ...

Omnissa

CA$162K - CA$342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

United Airlines

Machine Learning Engineer

Toronto, ON · On-site

Five or more years building Deep Learning or Machine Learning models in production environments ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

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Trainee Machine Learning Engineer information

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

Can I get into AI with no experience?

The Trainee Machine Learning Engineer role typically requires some foundational knowledge of programming, mathematics, and data analysis. While prior experience is not always mandatory, gaining skills in Python, machine learning frameworks, and completing relevant courses or certifications can improve your chances of entering the field.

Can I learn ML in 3 months?

A Trainee Machine Learning Engineer can acquire foundational knowledge in three months by focusing on core concepts such as algorithms, programming in Python, and data handling. However, mastering advanced topics and gaining practical experience typically requires longer, ongoing learning and project work.

What is the difference between Trainee Machine Learning Engineer vs Junior Data Scientist?

AspectTrainee Machine Learning EngineerJunior Data Scientist
Required CredentialsBasic programming, introductory ML knowledge, possibly a degree in CS or related fieldDegree in Data Science, Statistics, or related field; some programming experience
Work EnvironmentInternship or entry-level role in tech or AI companies, labs, or startupsEntry-level position in data teams across various industries
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and tech firms

While both roles are entry-level and involve working with data, a Trainee Machine Learning Engineer focuses more on developing and deploying machine learning models, whereas a Junior Data Scientist emphasizes data analysis, visualization, and insights. The roles often overlap, but the Trainee ML Engineer is more specialized in ML algorithms and model deployment.

Which 5 jobs will survive AI?

For a Trainee Machine Learning Engineer, roles that require complex problem-solving, creativity, and human judgment—such as AI ethics specialists, data scientists, AI product managers, research scientists, and domain-specific consultants—are likely to persist despite advances in AI. These jobs often involve understanding nuanced contexts, strategic decision-making, and interpersonal skills that are difficult for AI to replicate. Developing expertise in areas like critical thinking, communication, and specialized knowledge will enhance job security in the evolving AI landscape.
What are the most commonly searched types of Machine Learning Engineer jobs in Ontario? The most popular types of Machine Learning Engineer jobs in Ontario are:
What are popular job titles related to Trainee Machine Learning Engineer jobs in Ontario? For Trainee Machine Learning Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Trainee Machine Learning Engineer jobs in Ontario look for? The top searched job categories for Trainee Machine Learning Engineer jobs in Ontario are:
What cities in Ontario are hiring for Trainee Machine Learning Engineer jobs? Cities in Ontario with the most Trainee Machine Learning Engineer job openings:
Trainee Machine Learning Engineer jobs near you
Infographic showing various Trainee Machine Learning Engineer job openings in Ontario as of June 2026, with employment types broken down into 80% Full Time, 12% Part Time, 5% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Machine Learning Engineer (Energy) - MLEEAS

NavitasPartners

London, ON

CA$30/hr

Full-time

Posted 6 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