Jobs in Ontario (208,232 jobs)

Jobs across Ontario, Canada. Choose a city or town to search nearby.

208,232 listings · 21,142 employers Counted Nov 6, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,287 listings), Shoppers Drug Mart (4,069 listings), Walmart Canada (3,443 listings).

Common roles: Retail sales associate, Practical nurse, Registered nurse.

33,892 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	18,099
CAD / year	80,000.00	14,431
USD / year	155,000.00	86
CAD / month	4,108.00	67
CAD / week	1,500.00	45
CAD / day	101.00	23
USD / hour	20.00	13

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 17% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Ontario

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Added 2 hours ago
W
Stock Unloader Associate
Walmart
Ottawa, ON
- Part-time
Added 2 hours ago
W
(CAN) Retail Pharmacy Student
Walmart
Mississauga, ON
- Part-time
Added 2 hours ago
W
(CAN) Deli Associate
Walmart
London, ON
- Part-time
Added 2 hours ago
Water St - Maintenance Worker
Community Living Central York
Newmarket, ON
Added 2 hours ago
Continuous Quality Improvement Registered Practical Nurse & UCP Trainer
CareRx
ON
Added 2 hours ago
Pharmacy - Pharmacy Assistant, L1
CareRx
London, ON
Added 2 hours ago
Pharmacy Assistant, L2
CareRx
Oakville, ON
Added 2 hours ago
GS
Registered Practical Nurse
Good Shepherd Centres
Hamilton, ON
- $27.85 to $31.75 CAD / hour
- Other
Added 2 hours ago
Cutter-Cutting
Roots
Toronto, ON
Added 2 hours ago
Sales Associate- Seasonal
Roots
Waterloo, ON
Added 2 hours ago
Ottawa East - Lube Technician
Human Resources
Ottawa, ON
Added 2 hours ago
Casual- Bus Driver- Lilythorne Retirement
Claridge Homes
Ottawa, ON
Added 2 hours ago
Inside Sales Associate - London
Moffatt & Powell RONA 2024
London, ON
Added 2 hours ago
The Water Tower Inn Maintenance Attendant
Days Hospitality Limited Careers
Sault Ste. Marie, ON
Added 2 hours ago
LC
Personal Shopper Part Time Evening
Loblaw Companies Limited
Grimsby, ON
- Part-time
Added 2 hours ago
LC
Cashier Part Time Day
Loblaw Companies Limited
Cochrane, ON
- Part-time
Added 2 hours ago
LC
Pharmacy Assistant
Loblaw Companies Limited
Kirkland Lake, ON
- Part-time
Added 2 hours ago
M
Senior Manager, Governance & Special Projects
Metrolinx
Toronto, ON
- Full-time
Added 2 hours ago
T
Client Services Associate
TalentMinded
Toronto, ON
- Full-time
Added 2 hours ago
Server
Chartwell
London, ON
Added 2 hours ago
MB
Warehouse Coordinator (Wednesday to Saturday 4pm - 2am)
Martin Brower
Oshawa, ON
- Full-time
Added 2 hours ago
HR
Food Runner - Steakhouse
Hard Rock Hotel & Casino Ottawa
Ottawa, ON
- $18.32 CAD / hour
- Part-time
Added 2 hours ago
HR
Bar Porter - Hard Rock Cafe
Hard Rock Hotel & Casino Ottawa
Ottawa, ON
- $19 CAD / hour
- Part-time
Added 2 hours ago
CO
Administrative Assistant
Cozen O'Connor
Toronto, ON
- Full-time
Added 2 hours ago
PP
SENIOR PROJECT MGR
Piramal Pharma Ltd
Aurora, ON
- Full-time

Hays

Machine Learning Engineer

Toronto, ON, Canada

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

Apply About employer

Applications open in a new tab.

Job details

Pay: Pay Rate/Salary: $100/hr to $110/hr on Inc
Job type: Contract
Apply by: Dec 6, 2026
Posting language: English
Posted: Nov 6, 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.

Apply About employer

More about this job

Responsibilities

Develop, train, evaluate, and improve machine learning and deep learning models for personalization, using Python and PyTorch. Build reusable training, evaluation, and inference workflows, analyze model performance, and collaborate with data, product, and engineering teams to document findings and trade-offs.

Requirements

Requires hands-on machine learning model development, strong Python skills, experience with PyTorch or a similar framework, and a solid understanding of machine learning fundamentals. Candidates should also have experience preparing data, follow good software engineering practices, take ownership, and communicate effectively; experience with recommendations, cloud workflows, or production models is especially valuable.

Skills

Machine Learning
Deep Learning
Python
PyTorch
Model Training
Model Evaluation
Data Analysis
Feature Preparation
Experimentation
Model Optimization
Data Cleaning
SQL
BigQuery
Spark
Kubernetes
Personalized Recommendations

Benefits

Competitive Compensation

Visa sponsorship

Not detected in the job text

Keywords

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

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