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Machine Learning Jobs in Toronto, ON (NOW HIRING)

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 ...

Stripe

Machine Learning Engineer

Toronto, ON · Remote

What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to ...

Td

Applied Machine Learning Scientist II

Toronto, ON · On-site

CA$125K - CA$154K/yr

We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In this role, you'll apply expertise across the end-to-end AI and machine learning lifecycle ...

EvenUp

Senior Machine Learning Engineer

Toronto, ON · Remote

$196K - $265K/yr

Senior Machine Learning Engineer At EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise ...

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 ...

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 ...

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Showing results 41-60

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 Aug 16, 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 is a machine learning?

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 the 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 a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

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.

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 August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $150,477 per year, or $72.3 per hour.

Sr. Machine Learning Engineer

TheAppLabb

Toronto, ON • On-site

Other

Re-posted 18 days ago

Job description

About Us:

The AppLabb is a leading innovation company specializing in AI-powered digital solutions, mobile app development, and emerging technologies. We leverage data-driven insights to enhance digital experiences and drive business growth. 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 Senior Machine Learning Engineer to design, develop, and deploy scalable ML solutions in production environments. You will work closely with data scientists, engineers, and product teams to build robust systems that deliver business-critical AI features. This role requires hands-on expertise in building and operationalizing machine learning models using modern ML frameworks and cloud infrastructure.
What you will do?

  • Architect, build, and deploy end-to-end ML pipelines for production workloads.
  • Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow.
  • Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like Cloud Composer (Airflow) on Cloud Environments (AWS, Azure, GCP)
  • Integrate ML solutions with data warehouses like Snowflake, DataBricks or BigQuery for training and inference at scale.
  • Collaborate with cross-functional teams to define requirements and deliver impactful AI features.
  • Ensure CI/CD best practices for ML deployments, including monitoring, versioning, and rollback strategies.

Optimize model performance and system efficiency to meet production level SLAs.
What you'll need?

  • 5+ years of experience designing and deploying production-grade ML systems at scale.
  • Strong knowledge of PyTorch, TensorFlow, and modern ML model lifecycle management.
  • Hands-on experience with AWS, Azure or GCP.
  • Expertise in Kubernetes, Docker, and workflow orchestration tools such as Cloud Composer or Airflow.
  • Proficiency with SQL and experience working with Snowflake, DataBricks or BigQuery.
  • Solid understanding of MLOps practices: reproducibility, model monitoring, automated retraining.
  • Strong programming skills in Python; experience with LangChain, LangGraph, or related frameworks is a plus.
  • Excellent communication and leadership skills, with a proven ability to work in collaborative teams.
    Competencies
    • Experience building RAG (Retrieval-Augmented Generation) or LLM-based systems in production.
    • Knowledge of distributed systems and streaming data pipelines.
    • Certifications in Cloud Architectures

Why Join Us?

• Work on large-scale cloud-based data platforms with cutting-edge technologies.
• Collaborate with a dynamic, innovative, and data-driven team.
• Competitive salary
• Opportunities for career growth and continuous learning.


Why you’ll love TheAppLabb?
We are proud to be certified as a “Great Place to Work, Canada”. We're a motivated team with laser-focused mission to create exceptional experiences. At TheAppLabb, our culture is geared towards creativity, collaboration, and flexibility.

· Acknowledge and recognize employee efforts by having awards (Employee of the month, Employee with Most Growth, Leadership Award etc.)
· We encourage a healthy lifestyle by incorporating fitness challenge incentives in our Company

· TheAppLabb’s strong values and principles guide our employees to work with honesty, integrity, teamwork, and empathy.


At TheAppLabb, we believe diversity and inclusion is a strength we cultivate. We are proud to be an equal opportunity employer, and we do not discriminate based on race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.


Our work environment welcomes equity, inclusiveness, and diversity by providing accommodations throughout the recruitment process and during your employment here. If you require accommodation, please let us know and we will work with you to meet your needs. Please contact us at jobs@theapplabb.com.


So, if you are looking for your next challenge, then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working towards a unified goal.