Machine Learning Engineer jobs in Canada – Page 2

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• 22d

  Sr. Machine Learning Engineer (Canada - Remote)

  Canada

  Full Time

  H

  Hyatt

  5+ YOECandidates need a master's degree in a related field and 5+ years building and operating machine learning solutions in cloud environments. Hands-on experience with end-to-end ML systems and modern ML tooling, cloud platforms, data pipelines and CI/CD is required.

  CI/CD pipelines, Infrastructure as code

  25d

  Sr. Machine Learning Engineer (Canada - Remote)

  Canada

  Full Time

  H

  Hyatt

  5+ YOECandidates need a master's degree in computer science, software engineering, machine learning or a related field, plus 5+ years building and operating ML solutions in the cloud. Hands-on experience delivering production ML systems and proficiency with cloud platforms, data pipelines and CI/CD are required.

  CI/CD pipelines

• 22d

  Machine Learning Engineer

  Ontario

  RemoteFull Time

  

  Reddit

  3+ YOECandidates need 3 to 5+ years building and operating ML systems in production, strong Python, Java or Go skills, and hands-on experience with PyTorch or TensorFlow. Experience with scalable pipelines and model serving is required.

  PyTorch, TensorFlow, Spark, Kafka, Ray, Airflow

• 22d

  Senior Machine Learning Engineer II

  Remote in Canada

  RemoteFull Time

  

  Fetch

  6+ YOECandidates need 6+ years of machine learning or software engineering experience, including owning production ML systems at scale in personalization, relevance, search or ad tech. A bachelor's degree in a technical field and strong distributed systems and system design skills are required.

  Machine learning, ML, Coaching, Computer science, Child care

• 22d

  Machine Learning Engineer, New Grad - Quora (Remote)

  Remote in Canada

  RemoteFull Time

  

  Quora

  Quora needs a recent or current computer science or engineering student with strong Python and a solid grasp of ML math. Coursework or projects with LLMs or transformer models are required, and the hire must be able to start full-time in early 2027.

  Python, PyTorch, TensorFlow, Spark, Kubernetes

  26d

  Senior Machine Learning Engineer, Ranking - Quora (Remote)

  Remote in Canada

  RemoteFull Time

  

  Quora

  3+ YOECandidates need 3+ years of professional experience on recommendation or ranking models and a good grasp of machine learning mathematics. They also need experience building end-to-end machine learning systems and a BS, MS or PhD in a technical field.

  Machine learning, ML, Communication skills, Interpersonal skills, Computer science, Python

  26d

  Senior Machine Learning Engineer, Ads - Quora (Remote)

  Remote in Canada

  RemoteFull Time

  

  Quora

  4+ YOEQuora needs 4+ years of professional machine learning experience, including deploying ads ranking models at scale. Candidates also need strong Python, PyTorch or TensorFlow skills, and a degree in a technical field.

  PyTorch, TensorFlow, Python

• 23d

  Machine Learning Engineer I

  Toronto, ON

  Full Time

  

  Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.

  Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02

  Candidates need experience in machine learning, big data analytics, software engineering and software product design. They also need strong critical thinking, decision making and industry knowledge, and the ability to work independently on ambiguous problems.

  Machine learning, Research, Cybersecurity, Problem solving, Decision making, Think creatively

• 23d

  Machine Learning Engineer

  Canada

  M

  MobSquad

  5+ YOECandidates need an advanced degree (M.S. or PhD) in a quantitative field, over five years with deep learning frameworks, Python, Java, scikit-learn and Pandas, and strong SQL and NoSQL database skills.

  TensorFlow, Keras, scikit-learn, Pandas, OpenCV, Linux

• 24d

  Senior Machine Learning Engineer

  Vancouver, BC

  Full Time

  GI

  GroundedAI Inc.

  Candidates need real production machine learning experience, especially with 3D point cloud data. They should handle messy data, work independently, have some NLP or information extraction experience, and bring strong software engineering skills.

  Open3D, PyTorch3D, PyTorch

• 24d

  Machine Learning Engineer IV, Data

  Toronto, ON

  

  ACV Auctions: ACV is a high growth technology company that provides a vibrant digital marketplace for wholesale vehicle transactions and data services.

  5+ YOECandidates need a graduate degree (MS or PhD) in a computationally intensive field or equivalent experience, plus 5+ years of computer vision work. They must know PyTorch, OpenCV or TensorFlow with Python and SQL, and have cloud, Docker and Kafka experience.

  PyTorch, OpenCV, TensorFlow, Kafka, Docker, AWS

  24d

  Machine Learning Engineer III, Data

  Toronto, ON

  

  ACV Auctions: ACV is a high growth technology company that provides a vibrant digital marketplace for wholesale vehicle transactions and data services.

  3+ YOECandidates need a graduate degree (MS or PhD) in a computationally intensive field or equivalent experience, plus 3+ years of computer vision work. Required skills include PyTorch, OpenCV or TensorFlow, Python and SQL, cloud backend engineering on AWS or GCP with Docker microservices, real-time inference optimization, and streaming pipelines such as Kafka.

  PyTorch, OpenCV, TensorFlow, Kafka, Docker, Kubeflow

• 25d

  Machine Learning Engineer

  Toronto, ON

  $70–$85/hrFull Time

  

  Architech Solutions

  20+ YOECandidates need experience with customer churn prediction, Python or R, SQL, Databricks and machine learning frameworks. Strong feature engineering, large-scale data skills, statistical modelling and clear communication with technical and non-technical audiences are also needed.

  Python, R, SQL, Databricks, Scikit-learn, TensorFlow

• 26d

  Machine Learning Engineer

  Toronto, ON

  $210k–$224k/yrFull Time

  

  Urban Ridge Supplies

  3+ YOECandidates need 3+ years of production ML or data-heavy system experience, including shipping and owning models after launch. Real ranking or relevance experience, strong Python, and rigorous A/B testing skills are required.

  Python, MLflow, Kubernetes, Spark

  26d

  Machine Learning Engineer, Lyft Business & Ads

  Toronto, ON

  Full Time

  

  Urban Ridge Supplies

  Candidates need hands-on experience with machine learning in production, and preferably with LLM tools such as prompt engineering, RAG or agent frameworks. Experience with pricing, marketplace or fraud problems, cloud ML services, and independently scoping projects is an asset.

  AWS SageMaker, AWS Bedrock, LangChain, LangGraph

• 26d

  Machine Learning Engineer - EA SPORTS™ FC

  Vancouver, BC

  

  Electronic Arts

  Candidates need a BS in Computer Science, Mathematics or a related field, or equivalent engineering experience. They must have Python, C++ or Java skills, experience with LLM deployment and fine-tuning, and hands-on use of Databricks, Trino and Apache Airflow in production.

  Databricks, Trino, Apache Airflow, Python, C++, Java

  26d

  Machine Learning Engineer III

  Vancouver, BC

  

  Electronic Arts

  5+ YOECandidates need five or more years of production data or machine learning engineering experience. Strong Python and SQL skills, cloud, container and CI/CD experience, and experience with Terraform and Spark are required.

  Python, SQL, Rust, Spark, Terraform, Docker

• 26d

  Machine Learning Engineer

  Toronto, ON

  HybridFull Time

  

  Invision AI

  Candidates need a track record of shipping production computer vision models, strong Python skills, and experience with PyTorch, TensorFlow or scikit-learn. Working knowledge of embedded systems and edge optimization is required, and candidates must be legally entitled to work in Canada.

  PyTorch, TensorFlow, scikit-learn, Docker, ONNX Runtime, TensorRT

• 26d

  Senior Machine Learning Engineer

  Toronto, ON

  

  Staffmax

  Candidates need strong hands-on Python and SQL skills, experience deploying ML models in cloud platforms, and working knowledge of Azure ML, Databricks, MLflow and CI/CD. Independent work and collaboration with data scientists and engineers are expected.

  Azure ML, Databricks, MLflow, Python, SQL

• 26d

  Senior Machine Learning Engineer

  Ontario

  RemoteFull Time

  BJ

  Blue J

  8+ YOECandidates need 8+ years of machine learning engineering experience with strong Python skills, and hands-on experience deploying models and building RAG and agentic AI pipelines. Leadership of technical projects and clear communication across teams are also needed.

  Python, TypeScript, Node.js, PyTorch, TensorFlow, scikit-learn

• 26d

  Machine Learning Engineer

  Remote in Canada

  RemoteFull Time

  BI

  BioRender Inc.

  Candidates need deep technical expertise in machine learning and a passion for solving novel, unsolved problems. A scientific or research background is a nice-to-have.

  Machine learning, Research

• 26d

  Senior Machine Learning Engineer (GCP)

  Remote in Canada

  Remote

  

  Tiger Analytics Inc.

  Candidates need hands-on experience with Google Cloud Platform and Vertex AI, strong Python skills, and experience with generative AI, RAG and agent frameworks. Experience building APIs, scalable systems and production ML workflows is also expected.

  Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Run, Cloud Functions

  26d

  Machine Learning Engineer (with Vertex AI Experience)

  Remote in Canada

  Remote

  

  Tiger Analytics Inc.

  Candidates need hands-on experience with Google Cloud and Vertex AI, strong Python skills, and experience with generative AI, APIs, and scalable system design. The posting asks for advanced skills in RAG, agent frameworks, and fine-tuning.

  Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Run, Cloud Functions

  26d

  Machine Learning Engineer (Canada)

  Toronto, ON

  Full Time

  

  Tiger Analytics Inc.

  5+ YOECandidates need a bachelor's degree or higher in computer science or a related field and 5+ years of work experience. They must know Python, Spark, Hadoop and Docker, and be able to run production pipelines, containers and cloud environments.

  Python, Spark, Hadoop, Docker, Kubernetes, Airflow

16 companies