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Junior Machine Learning Engineer Jobs in Ontario

Traffix

Machine Learning Engineer

Toronto, ON · On-site

$120 - $180/hr

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 ...

BDO Canada

Senior Machine Learning Engineer

Oakville, ON

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

BDO Canada

Senior Machine Learning Engineer

Toronto, ON

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

BDO Canada

Senior Machine Learning Engineer

London, ON

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

BDO Canada

Senior Machine Learning Engineer

Ottawa, ON

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

Workday

Senior Machine Learning Engineer

Toronto, ON · On-site

Guide and mentor junior engineers, conduct code and architecture reviews, and help shape the ... Deep hands-on experience with industry-standard machine learning and deep learning libraries (e.g ...

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Build scalable machine learning ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Ontario

Junior Machine Learning Engineer information

See Ontario salary details

$26K

$119.2K

$207.5K

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

As of Jul 19, 2026, the average yearly pay for junior machine learning engineer in Ontario is $119,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $149,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
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 Junior Machine Learning Engineer jobs in Ontario? For Junior Machine Learning Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Ontario look for? The top searched job categories for Junior Machine Learning Engineer jobs in Ontario are:
What cities in Ontario are hiring for Junior Machine Learning Engineer jobs? Cities in Ontario with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Ontario as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $119,158 per year, or $57.3 per hour.

Machine Learning Engineer

Traffix

Toronto, ON • On-site

$120 - $180/hr

Other

Re-posted 25 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, so 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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