ZipRecruiter

Log In

1

Sports Analytics Machine Learning Jobs in Toronto, ON

Serve Robotics

Lead Machine Learning Engineer

Toronto, ON · Remote

CA$225K - CA$260K/yr

Analyze training metrics, model outputs, and experiment logs to assess model performance and guide ... Hands-on experience training machine learning models across multiple GPUs or compute nodes ...

Td

Applied Machine Learning Scientist II

Toronto, ON · On-site

CA$125K - CA$154K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $125,500 - $154,000 CAD The pay details ... We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In ...

Td

Research Machine Learning Scientist

Toronto, ON · On-site

CA$140K - CA$250K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $140,000 - $250,000 CAD The pay details ... We develop and deploy industry-leading machine learning systems that impact the lives of over 27 ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $154,000 - $199,500 CAD The pay details ... As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ...

Td

Senior Machine Learning Engineer

Toronto, ON

CA$170K - CA$250K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $170,000 - $250,000 CAD The pay details ... As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $154,000 - $199,500 CAD The pay details ... We develop and deploy industry-leading machine learning systems that impact the lives of over 27 ...

Stripe

Machine Learning Engineer

Toronto, ON

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 ...

previous pagenext page

Showing results 21-40

All JobsSports Analytics Machine Learning JobsSports Analytics Machine Learning Jobs in Toronto, ON

Sports Analytics Machine Learning information

What is sports analytics machine learning?

Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.

How do sports analytics machine learning professionals typically collaborate with coaches and athletes to impact game strategy?

Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.

What are the key skills and qualifications needed to thrive as a sports analytics machine learning specialist, and why are they important?

To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.

What are popular job titles related to Sports Analytics Machine Learning jobs in Toronto, ON?

For Sports Analytics Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Sports Analytics Machine Learning jobs in Toronto, ON look for?

The top searched job categories for Sports Analytics Machine Learning jobs in Toronto, ON are:

Sports Analytics Machine Learning jobs near you
Infographic showing various Sports Analytics Machine Learning job openings in Toronto, ON as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 90% In-person, and 10% Hybrid job distribution.

Machine Learning Engineer II, Core Engineering

Pinterest

Toronto, ON • Remote

Full-time

Re-posted 12 days ago

Job description

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 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.

What you'll do:

  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems 

What we're looking for:

  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • M.S. or PhD in Machine Learning or related areas
  • Expertise in scalable realtime systems that process stream data
  • Passion for applied ML and the Pinterest product

Nice To Have:

  • 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.

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

Relocation Statement: 

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

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

#LI-REMOTE

Apply