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Entry Level Machine Learning Engineer Jobs in Toronto, ON

YO AI Labs

Machine Learning Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

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Entry Level Machine Learning Engineer information

See Toronto, ON salary details

$20K

$83.2K

$177.5K

How much do entry level machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level machine learning engineer in Toronto, ON is $83,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,990.00 and $94,002.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Toronto, ON?

The most popular types of Machine Learning Engineer jobs in Toronto, ON are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Toronto, ON?

For Entry Level Machine Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Toronto, ON look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Toronto, ON are:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 4% Internship, 84% Full Time, and 12% Contract. Highlights an 63% In-person, 6% Hybrid, and 31% Remote job distribution, with an average salary of $83,214 per year, or $40 per hour.

Machine Learning Engineer (Toronto, ON)

Traffix

Toronto, ON • On-site

Full-time

Re-posted 10 days ago

Job description

Introduction: As a Machine Learning Engineer I at TRAFFIX you will work with your colleagues to support the productization of data models. This involves taking models created by our data science team and assisting in producing viable azure services which can orchestrate and achieve complex calculations utilizing these models as well as your own solutions tandem. Our team is still young and lean, this means that your solutions will likely involve end to end work thus involving database work, function app buildout, and light infrastructuring + solutioning.

Responsibilities: Work with senior team members to ingest product development requirements from cross-functional teams (engineering, product, business) Elicit needs, and translate to workable development tasks Hypothesize approaches and solutions to potential product needs Conduct runtime analysis and solution proofing to plan + design solutions Work with colleagues to create, deploy, and manage software services using Azure-based technologies Create detailed technical solution designs + documentation for technical projects Develop function-based solutions using backend + solution languages such as Python and C# Develop software that integrates and ties together data products from our data team Contribute to data model products and heuristic approaches Ensure use of best practices, reuse of core components and common design paradigms for developments Oversee and/or implement UAT testing of solutions. Coordinate with colleagues on releases and implementation of products Requirements: Bachelor's Degree in Computer Science, Mathematics, Statistics or equivalent combination of education and experience. Strong foundation in mathematics, statistic, and software design Knowledge in Data models, data model components and integrating with them High proficiency in API development, Deployment-ready functional development, enterprise level software solutioning High proficiency in solutioning, critical thought process Familiarity performance and solution proofing (Runtime analysis) Experience working with enterprise platforms (Azure, AWS, GCP) Azure strongly preferred Very Strong knowledge in Python High proficiency in SQL Knowledge in C# highly desired Excellent written and verbal communication skills.

Excellent Critical Thinking skills to tackle complex data issues Knowledge in version control (git, CI/CD) Preferences: Logistics industry experience is preferred but not required. Experience in Puppeteer or similar web crawling tools is preferred but not required. Experience in working with large datasets (structured & unstructured) TRAFFIX gives equal consideration for a job and terms and conditions of employment to all individuals and that the employer does not discriminate based on race, color, religion, age, marital status, national origin, disability or sex including sexual orientation, and gender identity or expression.

Department: Technology This is a full time position

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