“Machine learning” jobs in Canada – Page 11

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• 29d

  Senior Data Scientist-Gen AI, Machine Learning (10483)

  Toronto, ON

  HybridFull Time

  

  Extreme Networks

  8+ YOEExtreme Networks needs candidates with a degree in computer science, mathematics or a related field and 8+ years of applied ML experience. They also need 3+ years building generative AI solutions such as RAG, AI agents or LLM fine-tuning in production, plus graph ML experience.

  Spark, Flink, Kafka, PySpark, Lakehouse

• 29d

  Senior Machine Learning Engineer

  Remote in Canada

  RemoteFull Time

  

  Replicant

  5+ YOEReplicant needs candidates with 5+ years of software development experience in ML infrastructure, ML tooling or ML-powered products. Strong communication skills, independent problem-solving and experience with the Python ML ecosystem are preferred.

  Python, PyTorch, FAISS

• 29d

  Applied Machine Learning Research Scientist

  Toronto, ON

  HybridFull Time

  

  Cerebras Systems

  4+ YOECandidates need a Bachelor's or Master's degree in a related field and 4+ years of ML experience. Strong Python and PyTorch skills, transformer knowledge and the ability to implement ideas from ML papers are required.

  PyTorch, Python

• 29d

  Lead Machine Learning Engineer

  Toronto, ON

  HybridFull Time

  S

  Saris

  8+ YOECandidates need 8+ years in ML or AI engineering, including time as a technical lead or manager, and a record of taking ML projects into production. Deep experience with LLMs or agentic systems, strong ML fundamentals, and clear communication are required.

  Machine learning, ML, Regulatory compliance, Deep learning, Communication skills, Data modelling

• 29d

  Software Engineer, Machine Learning

  Vancouver, BC

  Full Time

  E

  Ema

  Ema needs candidates with deep, defensible experience in agent systems, post-training, reward modeling, RL environments, retrieval or evaluation design, plus statistical rigour and production engineering skill. A master's or PhD in a relevant field, or equivalent work or research experience, is accepted.

  TRL, veRL, OpenRLHF, vLLM, SGLang

• 29d

  Machine Learning Specialist

  Montréal, QC

  

  DRW

  5+ YOECandidates need a bachelor's or master's degree in computer science or software engineering, plus 5+ years building software for machine learning systems. Strong programming skills, deep learning knowledge and production MLOps experience are essential.

  TensorFlow, PyTorch, TensorRT, ONNX, CUDA, OpenCL

• 29d

  Machine Learning Manager

  Montréal, QC

  

  LawZero

  10+ YOE5+ MgmtCandidates need a PhD in a relevant field, 10+ years in machine learning or deep learning, and 5+ years leading projects and people. Experience with foundation models and strong communication skills are also required.

  Machine learning, ML, Research, Team leadership, Computer science, Deep learning

• 29d

  Senior Software Engineer, Machine Learning

  Toronto, ON

  RemoteFull Time

  H

  hive.co

  8+ YOECandidates need 8+ years of data engineering experience running large-scale distributed data and ML systems in production. Strong ML foundations, Python ML tooling, MLOps practice, and experience applying LLMs or agentic systems are also required.

  Python, Django, ClickHouse, MySQL, MongoDB, ElasticSearch

• 29d

  Machine Learning Intern/Co-op (Winter 2027)

  Remote in Canada

  RemoteInternship

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  Cohere needs candidates currently enrolled in a post-secondary program and available for a full-time 3-6 month term. Required skills include Python, ML frameworks such as TensorFlow and JAX, distributed training, and Transformer-based models.

  Python, TensorFlow, TF-Serving, JAX, XLA/MLIR, CUDA

• 29d

  AI Platform & Machine Learning Engineer

  Calgary, AB

  HybridFull Time

  

  XYZ Reality

  3+ YOECandidates need 3 to 5 years of machine learning engineering experience, strong Python and PyTorch skills, and experience building production ML pipelines. Experience with Docker, Kubernetes, CI/CD and cloud deployment is also required.

  PyTorch, Docker, Kubernetes, MLflow, Weights & Biases, Ray

10 companies