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Google Machine Learning Engineer Jobs in Ontario

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Machine Learning Engineer - Evisort

Toronto, ON · On-site

About the Role As a Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate ...

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 ...

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All JobsGoogle Machine Learning Engineer JobsGoogle Machine Learning Engineer Jobs in Ontario

Google Machine Learning Engineer information

See Ontario salary details

$25.5K

$137.3K

$223.5K

How much do google machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for google machine learning engineer in Ontario is $137,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $170,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google Machine Learning Engineer position, and why are they important?

To thrive as a Google Machine Learning Engineer, you need strong expertise in mathematics, statistics, programming (especially Python or C++), and a solid background in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud), and advanced certifications can be highly beneficial. Excellent problem-solving, teamwork, and communication skills help you collaborate across teams and explain complex models to stakeholders. These skills are essential to driving innovation, building scalable solutions, and ensuring impactful results in a fast-paced, research-driven environment.

What is a Google Machine Learning Engineer job?

A Google Machine Learning Engineer designs, builds, and optimizes machine learning models to improve Google's products and services. They work with large datasets, implement algorithms, and deploy scalable AI systems. Collaboration with data scientists, software engineers, and product teams is essential to integrate models into real-world applications. Strong knowledge of Python, TensorFlow, and cloud computing is often required. This role focuses on both research and practical implementation to enhance automation and decision-making across Google products.

What types of projects and collaborations can Google Machine Learning Engineers expect to be involved in?

Google Machine Learning Engineers often contribute to diverse projects, such as developing next-generation search algorithms, optimizing user experiences across products, or creating scalable machine learning systems for internal and external clients. The role frequently involves collaborating with data scientists, product managers, software engineers, and researchers to define project goals and deliver impactful solutions. You can expect to participate in code reviews, prototype new models, and provide expert input during technical discussions. This collaborative, interdisciplinary approach ensures innovative outcomes and offers ongoing opportunities for professional growth and skill development.

What are popular job titles related to Google Machine Learning Engineer jobs in Ontario? For Google Machine Learning Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Google Machine Learning Engineer jobs in Ontario look for? The top searched job categories for Google Machine Learning Engineer jobs in Ontario are:
Google Machine Learning Engineer jobs near you
Infographic showing various Google Machine Learning Engineer job openings in Ontario as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $137,346 per year, or $66 per hour.

Machine Learning Engineer (Energy) - MLEEAS

NavitasPartners

Hamilton, ON

CA$30/hr

Full-time

Posted 5 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