Jobs in Vaughan, ON and nearby (88,710 jobs)

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

88,710 listings · 10,293 employers Counted Nov 6, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (2,006 listings), Loblaw Companies Limited (1,515 listings), Shoppers Drug Mart (1,343 listings).

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

13,817 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	7,651
CAD / hour	26.50	5,683
USD / year	158,000.00	73
CAD / month	5,250.00	36
CAD / week	2,823.64	29
CAD / day	101.00	16

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 2 hours ago
RP
Lead Concierge-Liberty House
Rhapsody Property Management Services
Toronto, ON
- Full-time
Added 2 hours ago
KE
Customs Specialist
Kitchener Executive Consultants Inc
Brampton, ON
- Full-time
Added 2 hours ago
AS
Assistant Manager
Apple Self Storage
Newmarket, ON
- $42,000 to $44,000 CAD / year
- Full-time
Added 2 hours ago
CQ
Customer Service Representative
Culligan Quench Canada
Woodbridge, ON
- $50,000 to $60,000 CAD / year
- Full-time
Added 3 hours ago
S
Recruiting Coordinator (Contract)
Salesforce
Toronto, ON
- Full-time
Added 3 hours ago
RS
Diesel Mechanic Technician Trainee
Ryder Supply Chain Solutions
Brampton, ON
- Full-time
Added 3 hours ago
WG
Counter Sales Associate (Markham, ON)
Wolseley Group
Markham, ON
- Full-time
Added 3 hours ago
OH
Senior Advisor, Clinical Cardiac
Ontario Health
Toronto, ON
- Full-time
Added 3 hours ago
T
Senior Manager, Operational Resilience Scenario Testing
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
Manager, Operational Resilience Scenario Testing
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
Investment Advisor (Phone)
TD
Toronto, ON
- Full-time
Added 3 hours ago
SI
Wireless Sales Supervisor
Staples Inc.
Toronto, ON
- Full-time
Added 3 hours ago
LC
Warehouse Worker
LKQ Corporation
Brampton, ON
- Full-time
Added 3 hours ago
BG
Operations Support Specialist (Canada East)
Boyd Group Services
Brampton, ON · Toronto, ON
- Full-time
Added 3 hours ago
A(
Account Manager
AXIS (AXIS Capital)
Toronto, ON
- Full-time
Added 3 hours ago
PA
Parts Receiver (Parts Wholesale GTA)
Performance Auto Group
Brampton, ON
- Full-time
Added 3 hours ago
SA
Senior/Staff Application Support Specialist (Trading & Market Data) - Toronto
Solactive AG
Toronto, ON
- Full-time
Added 3 hours ago
SM
RQ00242 – Senior Data Analytical Specialist/Scientist
S M Software Solutions Inc
Toronto, ON
- Full-time
Added 3 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
Added 3 hours ago
SM
RQ11487 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 3 hours ago
TI
Senior System Analyst
Teckhorizon Inc
Toronto, ON
- Contract
Added 3 hours ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Added 3 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Added 3 hours ago
SM
RQ11717 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 3 hours ago
C
Business Systems Analyst Capital Markets
Collabera
Toronto, ON
- $70 to $73 CAD / hour
- Contract

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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