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Junior Machine Learning Engineer Jobs in Toronto, ON

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

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

Oakville, ON · On-site

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 · On-site

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 ...

Td

Senior Machine Learning Engineer

Toronto, ON

CA$170K - CA$250K/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 * Architect scalable machine learning and ...

TheAppLabb

Sr. Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

The App Labb

Sr. Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Toronto, ON

Junior Machine Learning Engineer information

See Toronto, ON salary details

$24.8K

$113.7K

$198K

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

As of Jul 18, 2026, the average yearly pay for junior machine learning engineer in Toronto, ON is $113,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,367.00 and $142,196.00 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 Toronto, ON? The most popular types of Machine Learning Engineer jobs in Toronto, ON are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Toronto, ON? For Junior Machine Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Toronto, ON look for? The top searched job categories for Junior Machine Learning Engineer jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Junior Machine Learning Engineer jobs? Cities near Toronto, ON with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you

Senior Machine Learning Engineer

Hibernian General Insurance

Toronto, ON • Hybrid

CA$110K - CA$145K/yr

Other

Medical, Retirement

Re-posted 3 hours ago

Job description

Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values - Care, Commitment, Community, and Confidence.

We are seeking a highly skilled and experienced Senior Machine Learning Engineerto join our AI/ML Platform team. The ideal candidate will have a strong background in designing, building, and deploying scalable machine learning solutions in both cloud and on-premise environments. Hands-on experience with Snowflake, AWS, and Linux-based systemsis essential. You will collaborate closely with data scientists, data engineers, and product teams to operationalize ML models and drive innovation across the organization.

What you'll do:

  • Design, develop, and deploy robust ML pipelines and services in production environments (cloud and on-prem).

  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable ML solutions.

  • Optimize model performance and ensure reliability, scalability, and maintainability of ML pipelines and systems.

  • Implement MLOps best practices, including CI/CD, model versioning, monitoring, and retraining.

  • Work with Snowflake and AWS services(e.g., S3, EC2, ECR, MWAA) to build and deploy ML models on thecloud.

  • Develop and maintain end-to-end on-premise ML workflowssolutions.

  • Ensure data privacy, security, and compliance in all ML solutions.

  • Mentor junior engineers and contribute to technical leadership within the team.

What you'll bring:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

  • 5+ years of experience in machine learning engineering or related roles.

  • Strong proficiency in Pythonand ML libraries (e.g., scikit-learn, pyGAM, XGBoost).

  • Hands-on experience with Snowflake, Snowpark, and Snowpark MLfor data engineering and ML workflows.

  • Deep understanding of AWS cloud servicesand infrastructure for ML deployment.

  • Experience with Linux-based systems, including remote development via SSH.

  • Proficiency in Jenkinsfor orchestration and automation of ML workflows.

  • Experience with containerization (Docker).

  • Strong proficiency in SQL, with the ability to optimize complex queries using query plans and performance tuning tools.

  • Familiarity with data versioning tools(e.g., DVC, Feast), ML workflow tools(e.g., MLflow, Airflow), and monitoring frameworks.

  • Excellent problem-solving skills and ability to work in a fast-paced environment.

Would be an asset:

  • Knowledge of feature storesand model registries.

  • Experience with Apache Sparkand Snowparkfor scalable data processing.

  • Exposure to other cloud platforms (e.g., Azure, GCP) is a plus.

  • Contributions to open-source ML projects or publications.

What you'll get:

  • The salary band for this position ranges from $110,000 to $145,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.

  • Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.

  • Outstanding Career Development opportunities.

  • We'll support your professional development education.

  • Competitive vacation package with the option to purchase 5 extra days off per year

  • Employee driven programs focused on gender, LGBTQ+, origins, diversity and inclusion

  • Corporate wellness programs to support our employees' physical and mental health

  • Hybrid flexible work model

Please note that we may use AI tools to help us through the recruitment process. This is a new position which has been posted both internally & externally.

Aviva Canada has an accommodation process in place to provide accommodations for employees with disabilities. If upon commencement of employment you require a specific accommodation because of a disability, please contact your Talent Acquisition Partner so that an appropriate accommodation can be arranged. This process applies throughout your career with Aviva Canada.

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