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Added 29 mins ago
PH
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
…join the Model Development team within Risk, working closely with the Manager, Model Development, Data Scientists, and Model Developers. This highly technical, hands-on role focuses on the…
Added 5 hours ago
TA
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics
Toronto, ON
- Full-time
Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise…
Added 7 hours ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital product development. We imagine how things can be made better, then…
Added 8 hours ago
A
Scientifique De Données
Actalent
Longueuil, QC
- $43 to $66 CAD / hour
- Contract
Construire des modèles prédictifs en Python en utilisant des techniques de régression, de classification et de prévision de séries temporelles.
Added 8 hours ago
A
Data Scientist
Actalent
Longueuil, QC
- $43 to $66 CAD / hour
- Contract
Construire des modèles prédictifs en Python en utilisant des techniques de régression, de classification et de prévision de séries temporelles.
Added 8 hours ago
D
GenAI & Python Specialist - Operate (Future Opportunity)
Deloitte
Toronto, ON
- Full-time
…families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country,…
Added 8 hours ago
RI
Senior Full Stack Java Developer - Capital Markets
Rose International
Mississauga, ON
- Full-time
8+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing…
Added 8 hours ago
TS
Data Engineer
The Semios Group
Remote, Canada
- $95,000 to $115,000 CAD / year
- Full-time
- Remote
Our innovative work has been recognized with several industry awards, including:
Added 8 hours ago
SG
Data Engineer
Semios Group
Vancouver, BC
- $95,000 to $115,000 CAD / year
- Full-time
Our innovative work has been recognized with several industry awards, including:
Added 9 hours ago
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Machine Learning Engineer
Hays
Toronto, ON
- Contract
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…
Added 9 hours ago
H
Cloud Architect
Hays
Toronto, ON
- Contract
…secure, scalable, resilient, and cost-effective AI architectures, with a focus on Microsoft Foundry, Azure OpenAI, Generative AI, RAG, Agentic AI, Azure AI Search, and enterprise data…

Hays

Machine Learning Engineer

Toronto, ON, Canada

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

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Job details

Pay: Pay Rate/Salary: $100/hr to $110/hr on Inc
Job type: Contract
Apply by: Nov 29, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

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

Your New Role:

We’re looking for a hands-on 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:

Hands-on experience developing ML models
Strong Python programming skills.
Experience with PyTorch or similar deep learning frameworks.
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.

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More about this job

Responsibilities

Develop, train, evaluate, and improve machine learning and deep learning models for personalization, and build reusable training, evaluation, and inference workflows. Analyze model performance, iterate using clear metrics, and collaborate with data, product, and engineering teams while documenting findings and trade-offs.

Requirements

Requires hands-on machine learning model development, strong Python skills, experience with PyTorch or a similar deep learning framework, and a solid understanding of model training, validation, evaluation, optimization, overfitting, and generalization. Candidates should also have experience preparing data for machine learning, follow sound software engineering practices, and demonstrate ownership, communication, and collaboration skills.

Skills

Machine Learning
Deep Learning
Python
PyTorch
Model Development
Data Analysis
Feature Preparation
Model Training
Model Evaluation
Model Optimization
Personalized Recommendations
Search and Ranking Systems
SQL
BigQuery
Spark
Production Machine Learning

Benefits

Competitive Compensation

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Python
PyTorch
Personalization
Retail
E-Commerce
Model Development
Model Training
Model Evaluation
Feature Preparation
Data Analysis
Experimentation
Inference Workflows
Recommendations
Search
Ranking
Relevance Systems
GCP
BigQuery
SQL
Spark
Dataflow
Airflow
Kubernetes
Cloud-Based Machine Learning
Production Machine Learning
Version Control
Testing
Documentation

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