Apply now

Posted yesterday

Machine Learning Engineer

@ Hays

Toronto, Ontario

Contract10+ years experience
Apply now
SIGNALS

Responsibilities:

  • The successful candidate will develop, train, evaluate, and improve ML and deep learning models.
  • The role involves working across the ML lifecycle, including data analysis, feature preparation, experimentation, training, and evaluation.
  • You will build PyTorch-based models for practical business use cases, analyze model performance and iterate based on clear metrics, and build reusable…
  • The position requires close collaboration with data, product, and engineering teams while documenting results, findings, and trade-offs clearly.

Requirements summary:

  • 10+ yrs of experience with PyTorch or similar deep learning frameworks
  • Hands-on experience developing ML models
  • Experience gathering, cleaning, analyzing, and preparing data for ML.
  • Strong ownership mindset and ability to drive work forward.
  • Experience with personalized recommendations, search, ranking, or relevance systems.
  • Experience with GCP, BigQuery, SQL, Spark, Dataflow, Airflow, Kubernetes, or cloud-based ML workflows.

Tools & skills

Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-09
First seen by our source
2026-11-11
Source record updated
2026-11-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

FieldValue
Open jobs on Jobsy292
Job description

Pay Rate/Salary: $100/hr to $110/hr on Inc

Your New Role:

  • We’re looking for a hands-on Senior Machine Learning Engineer to develop and improve ML and deep learning models that power personalization across our retail ecosystem.
  • This role focuses on model development using Python and PyTorch, with a strong emphasis on ownership, experimentation, and practical impact on experiences used by millions of Canadians daily.

What You’ll Do:

  • The successful candidate will develop, train, evaluate, and improve ML and deep learning models.
  • The role involves working across the ML lifecycle, including data analysis, feature preparation, experimentation, training, and evaluation.
  • You will build PyTorch-based models for practical business use cases, analyze model performance and iterate based on clear metrics, and build reusable training, evaluation, and inference workflows.
  • The position requires close collaboration with data, product, and engineering teams while documenting results, findings, and trade-offs clearly.

What We’re Looking For:

  • 10+ yrs of experience with PyTorch or similar deep learning frameworks
  • Hands-on experience developing ML models
  • Strong Python programming skills.
  • Good grasp of ML fundamentals: training, validation, evaluation, optimization, overfitting, and generalization.
  • Experience gathering, cleaning, analyzing, and preparing data for ML.
  • Good software engineering practices: clean code, version control, testing, and documentation.
  • Strong ownership mindset and ability to drive work forward.
  • Clear communication and collaboration skills.
  • Especially Valuable
  • Experience with personalized recommendations, search, ranking, or relevance systems.
  • Experience with GCP, BigQuery, SQL, Spark, Dataflow, Airflow, Kubernetes, or cloud-based ML workflows.
  • Experience supporting ML models in production.

How You’ll Succeed:

  • You’ll join a collaborative, fast-paced team working on cutting-edge ML problems that directly impact how millions of Canadians shop. We offer competitive compensation, continuous learning opportunities, and the chance to work with the latest technologies in machine learning and AI.
  • You will collaborate with highly skilled teams on impactful projects that touch the lives of millions of Canadians, thriving in an inclusive and supportive culture that celebrates diversity of thought and experience.
  • By embracing our values of authenticity, trust, and connection, you’ll help drive innovation and shape the future of eCommerce.

What You'll Get in Return:

  • You will have the opportunity to work with a talented team of professionals in a dynamic and supportive environment.
  • Competitive compensation, continuous learning opportunities, and exposure to the latest technologies in machine learning and AI.
  • You will collaborate with highly skilled teams on impactful projects while working in an inclusive and supportive culture that celebrates diversity of thought and experience.

What You Need to Do Now:

  • If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
  • If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.

Similar jobs

  • Machine Learning Engineer

    Toronto, ON
    Full Time

    Sapphire Stream Technology

    Candidates need a Bachelor's or Master's degree in computer science or a related engineering field, strong C++ and Python skills, and knowledge of algorithms, machine learning, and linear algebra. Experience with CUDA, HIP, OpenCL, or GPU performance profiling is preferred.

    C++, Python, CUDA, HIP, OpenCL, FPGA

  • Machine Learning Engineer

    Toronto, ON
    Full Time

    Syntrace

    3+ YOECandidates need several years of experience building machine learning systems in production, strong Python skills, and experience with modern deep learning frameworks. A disciplined approach to model evaluation is required.

    Python

  • Senior Machine Learning Engineer

    Toronto, ON
    Contract

    BuzzClan

    Candidates need extensive hands-on Azure Machine Learning and MLOps experience, strong Python and SQL skills, and a record of deploying models to production. Solid knowledge of statistics, data preparation and model evaluation is also required, along with strong communication and stakeholder management skills.

    Azure Machine Learning, Azure AI Foundry, Databricks, Power BI, Power Automate, Git

  • Machine Learning Engineer

    Toronto, ON
    Hybrid

    Provision

    Candidates need experience shipping and operating ML or AI systems used by real customers, strong Python and software engineering skills, and practical work with modern language or multimodal models and retrieval. Sound judgment on data quality, experimentation and failure modes is also required.

    Machine learning, ML, Blueprints, Python, Debugging, Modern languages

  • Senior Machine Learning Engineer

    Toronto, ON
    RemoteFull Time

    Wiser Solutions

    7+ YOECandidates need 7+ years in ML or AI engineering with a record of shipping and owning production systems. They need hands-on experience with model training and evaluation, LLMs, RAG, embeddings, vector databases, MLOps tooling and AWS, plus strong Python.

    AWS SageMaker, AWS Bedrock, MLflow, Weights & Biases, Airflow, Python

  • Senior Machine Learning Engineer

    Toronto, ON
    Contract

    Randstad Canada

    Candidates need advanced hands-on experience with Azure Machine Learning, MLOps, CI/CD and containerized deployment, plus strong Python and production ML engineering skills. Deep knowledge of ML algorithms, statistics and data drift is also required.

    Azure Machine Learning, Azure AI Foundry, Databricks, Power BI, Power Automate, VS Code

  • Machine Learning Engineer

    Toronto, ON
    $65–$75/hrContract

    Altis

    Candidates need extensive hands-on experience deploying machine learning models in production, plus advanced skills in Azure Machine Learning, MLOps and model monitoring. Strong Python and SQL skills, a solid grounding in statistics and ML algorithms, and clear communication with stakeholders are also needed.

    Azure Machine Learning, Azure AI Foundry, Databricks, Power BI, Power Automate, VS Code

  • Senior Machine Learning Engineer

    Vancouver, BC +2
    RemoteFull Time

    Themis Solutions Inc.

    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.

    ChatGPT, Gemini

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.