As of November 7, 2026, Jobsy lists 11 machine learning engineer jobs in Vancouver, BC. The most active employers are Tiger Analytics Inc., The Toronto-Dominion Bank (Canada) and Affirm. Skills often requested: machine learning, ml, python and pytorch.
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3+ YOESanctuary AI needs candidates with a Master's or PhD in a related field, 3+ years of ML experience and 4+ years of production software engineering. Strong Python and C++, hands-on ML deployment, ROS2 and parallel computing experience are key, and robotics familiarity is highly desirable.
4+ YOECandidates need a bachelor's, master's or doctorate in a related field plus years of relevant experience, or equivalent experience. Hands-on LLM, production ML and software engineering skills are required, and candidates must pass Microsoft Cloud background checks.
Machine learning, ML, Statistics, Computer science, Computer engineering, Research
Candidates need hands-on experience shipping agentic systems, strong data preparation skills for complex unstructured data, and experience with open-source LLMs and commercial LLM APIs. Mentorship in agile software teams and clear communication with internal and external stakeholders are also required.
Candidates need hands-on experience building traditional machine learning, NLP and transformer models, plus data cleaning for messy datasets. Experience with agentic frameworks, open-source LLMs and commercial LLM APIs is expected, along with strong communication skills.
MetaOptima: MetaOptima is a digital health tech company dedicated to revolutionizing the dermatology and skin care industry with affordable, effective and…
2+ YOECandidates need a master's or PhD in computer science or a related quantitative field, plus 2+ years building production computer vision and machine learning systems. Strong Python, PyTorch and cloud deployment skills are required.
5+ YOECandidates need 5+ years as a professional ML or software engineer, with production recommender systems experience, large-scale data processing and online experiment design. A Bachelor's or Master's in Computer Science or equivalent experience is required.
Python, Spark, Databricks, BigQuery, Kubernetes, Vertex AI
Candidates need experience putting neural network, computer vision or LLM models into production, plus strong Python skills and hands-on work with ML libraries. Experience with LLM APIs and prompt engineering is highly valued.
PyTorch, TensorFlow, Spark MLlib, XGBoost, SQL, OpenAI API
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.
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.
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.
5+ YOECandidates need 5+ years of machine learning or related experience, knowledge of recommendation and classification algorithms, and experience deploying cloud-based production systems. Skills in Python, Apache Spark, AWS, PyTorch, large language models, and large-scale data processing are expected.