ZipRecruiter

Log In

1

Machine Learning Jobs in Toronto, ON (NOW HIRING)

Fullscript

Staff, Machine Learning Engineer

Toronto, ON · On-site +1

The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript's AI-powered experiences. You'll work on building innovative AI ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Apply Early

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Apply Early

next page

Showing results 1-20

All JobsMachine Learning JobsMachine Learning Jobs in Toronto, ON

Machine Learning information

See Toronto, ON salary details

$103.1K

$150.5K

$187.1K

How much do machine learning jobs pay per year?

As of Jul 6, 2026, the average yearly pay for machine learning in Toronto, ON is $150,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,109.00 and $178,938.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

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

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are the most commonly searched types of Machine Learning jobs in Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Machine Learning jobs in Toronto, ON? For Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Toronto, ON look for? The top searched job categories for Machine Learning jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Machine Learning jobs? Cities near Toronto, ON with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $150,477 per year, or $72.3 per hour.

Senior Machine Learning Engineer

Hibernian General Insurance

Markham, ON • Hybrid

CA$110K - CA$145K/yr

Other

Medical, Retirement

Posted yesterday

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.

#LI-MH1

#LI-Hybrid

Apply