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Artificial Intelligence Machine Learning Engineer Jobs in Ontario

Machine Learning Engineer

Toronto, ON · On-site

$100 - $130/hr

Apply machine learning design patterns to build modular, reusable, and production-ready models. * Collaborate with data engineers to develop high-performance data pipelines for training and inference.

We're in search of an exceptional ML engineer with extensive experience in suggesting, exploring ... Knowledge of bandits, NLP, and/or content intelligence models. Proficiency in Python. Additional ...

We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key ... The Team The Security Machine Learning Engineer will play a key role in transforming our Security ...

Advanced programming skills in Python, with practical experience using popular machine learning ... BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment ...

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 ... BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment ...

Senior Machine Learning Engineer

London, ON · On-site

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning ... BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment ...

Senior Machine Learning Engineer

Ottawa, ON · On-site

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning ... BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment ...

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 ...

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 ...

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 ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Ontario?

For Artificial Intelligence Machine Learning Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Ontario look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Ontario are:

What cities in Ontario are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in Ontario with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.

Sr. Machine Learning Engineer, Content Shopping

Pinterest

Toronto, ON • Remote

Full-time

Re-posted 29 days ago


Job description

With more than 535 million users around the world and 400 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,500 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
The Content Shopping Mining ML team builds machine learning systems that understand shopping-related content across the web, turning unstructured merchant pages into high-quality structured product data like price, title, availability, and images. This helps improve product experiences on Pinterest, including content quality, distribution, recommendations, and search; for example, see the team's KDD 2025 paper, Cross-Domain Web Information Extraction https://arxiv.org/pdf/2508.01096.

What you'll do:

  • Identify and evaluate high-value content sources for Pinterest including websites, merchants, and social media accounts
  • Help build scalable systems to acquire that content and extract structured attributes from it.
  • Partner closely with cross-functional teams across Pinterest to improve content quality and power better user experiences, such as reducing low-quality content and improving search relevance.
  • Train, fine-tune, and distill language models to better understand webpages and deploy those models in production at scale.
  • Design and build systems for managing large-scale datasets, improving data quality, and automating model iteration and improvement.
  • Use modern agentic coding tools to accelerate development, experimentation, and operational efficiency.

What we're looking for:

  • 5+ years of industry experience applying machine learning to real-world problems, such as search, ranking, recommender systems, natural language processing, personalization, reinforcement learning, or graph representation learning.
  • Hands-on experience training, evaluating, and deploying language models in production environments.
  • Strong problem-solving skills, with the ability to work autonomously, think creatively, and drive ambiguous projects forward.
  • Experience or strong interest in web crawling, web scraping, and large-scale content acquisition.

Nice to have:

  • M.S. or Ph.D. in Machine Learning, Computer Science, or a related technical field.
  • Publications in top-tier machine learning conferences.
  • Passion for applied machine learning and for building products that improve the Pinterest experience.
  • Experience with web crawling, web scraping, search, recommendation systems, or content understanding pipelines.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

Relocation Statement:

  •  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

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