Jobs in Vaughan, ON and nearby

Jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

79,696 listings · 9,712 employers Counted Oct 31, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (1,662 listings), Loblaw Companies Limited (1,356 listings), Shoppers Drug Mart (1,236 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

12,350 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 / year	85,000.00	6,437
CAD / hour	26.00	4,826
USD / year	120,000.00	470
USD / hour	26.95	245
CAD / month	6,000.00	27
CAD / week	2,914.00	19

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, 28% hybrid, 72% 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 Vaughan, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 17 hours ago
ZS
GenAI Security Lead
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 17 hours ago
SP
Manager, Product, Pricing & Integrations Operations
Salesforce Partner Canada
Toronto, ON
- Full-time
Added 17 hours ago
PA
Sales Administrator (Subaru of Brampton)
Performance Auto Group
Brampton, ON
- Full-time
Added 17 hours ago
O
Legal Counsel
OpenText
Richmond Hill, ON
- Full-time
Added 17 hours ago
MH
Registered Nurse
Mackenzie Health
Vaughan, ON
- $41.15 to $58.98 CAD / hour
- Full-time
Added 17 hours ago
A
Stock Clerk
Ardene
Brampton, ON
- $17.6 CAD / hour
- Full-time
Added 17 hours ago
SP
Area Vice President, Sales, Financial Services - CANADA ENTERPRISE
Salesforce Partner Canada
Toronto, ON
- Full-time
Added 17 hours ago
CL
Customer Account Coordinator
Charger Logistics Inc.
Brampton, ON
- Full-time
Added 17 hours ago
O
ACD Art Director
ONE23WEST
Toronto, ON
- Full-time
Added 17 hours ago
JH
General Manager - Boutique Hotel
JRoss Hospitality Recruiters
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
Added 17 hours ago
OV
Executive Intern, Transformation PMO - Full Time Temporary (approx. 4 Months) - Markham Stouffville Hospital
Oak Valley Health
Markham, ON
- Full-time
Added 17 hours ago
ACCOUNT MANAGER - CONTRACT
Green Shield Canada
Toronto, ON
Added 17 hours ago
CB
Professeure ou Professeur à temps partiel, Éducation en service à l'enfance
Collège Boréal
Toronto, ON
- Part-time
Added 17 hours ago
C
Full Stack Developer (.NET, C#, SQL, React, and Azure Databricks)
CIBC
Toronto, ON
- Full-time
Added 17 hours ago
B
Sr. Recruiter, Capital Markets
BMO
Toronto, ON
- Full-time
Added 17 hours ago
B
Senior Relationship Manager (Mid-Market)
BMO
Toronto, ON
- Full-time
Added 17 hours ago
B
Executive Assistant
BMO
Toronto, ON
- Full-time
Added 17 hours ago
AP
Full Stack Team Lead
Accommodations Plus International
Markham, ON
- $130,000 to $140,000 CAD / year
Added 17 hours ago
A
Dietary Aide Temporary Part Time AgeCare Pine Grove
AgeCare
Woodbridge, ON
- Part-time
Added 17 hours ago
M
National Education Consultant
Manulife
Toronto, ON
- Full-time
Added 17 hours ago
W
Investment Associate
Winchesters
Toronto, ON
- $105,000 to $125,000 CAD / year
- Full-time
Added 18 hours ago
Director, Design Operations - Global Wealth Management
Scotiabank
Toronto, ON
Added 18 hours ago
R
Nurse Practitioner (NP)
RhynoCare
Toronto, ON
- $85 CAD / hour
- Contract
Added 18 hours ago
TS
Payoll and Benefits Specialist
The Staffing Alternative
Vaughan, ON
- Full-time
Added 18 hours ago
CL
Claims Adjuster
Charger Logistics Inc
Brampton, 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: 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.

Apply About employer

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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