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Machine Learning Engineer New Grad Jobs in Ontario

Autodesk

Principal Machine Learning Engineer

Toronto, ON · On-site +1

As aPrincipal Machine Learning Engineer, you will operate at the intersection of AEC data, machine ... You will prototype new workflows, build and curate high-quality datasets, and collaborate closely ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Ontario

Machine Learning Engineer New Grad information

See Ontario salary details

$26.5K

$109.4K

$202.5K

How much do machine learning engineer new grad jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning engineer new grad in Ontario is $109,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

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

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Ontario? For Machine Learning Engineer New Grad jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Ontario look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Ontario are:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Ontario as of May 2026, with employment types broken down into 5% Full Time, 92% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $109,405 per year, or $52.6 per hour.

Machine Learning Engineer (Energy) - MLEEAS

NavitasPartners

Hamilton, ON • On-site

CA$30/hr

Full-time

Posted 4 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