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.

86,266 listings · 10,167 employers Counted Nov 5, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (1,936 listings), Loblaw Companies Limited (1,468 listings), Shoppers Drug Mart (1,325 listings).

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

13,458 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	7,439
CAD / hour	26.00	5,545
USD / year	158,000.00	71
CAD / month	6,000.00	34
CAD / week	2,914.00	26
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, 27% 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 9 hours ago
OT
Business Development Manager
Olympia Tile+Stone Inc.
Toronto, ON
- Full-time
Added 9 hours ago
FR
Heavy Duty Cleaner
FirstService Residential Canada
Toronto, ON
- Full-time
Added 9 hours ago
LV
KEY HOLDER-EN
La Vie En Rose
Toronto, ON
- Full-time
Added 9 hours ago
CL
Senior Commercial Litigation Lawyer
Cowan Litigation
Toronto, ON
- Full-time
Added 9 hours ago
FB
Senior Project Manager
Forbes Bros. Group of Companies
Toronto, ON
- Full-time
Added 9 hours ago
MT
administrative assistant
Marble Trend Ltd.
Toronto, ON
- Full-time
Added 9 hours ago
SR
Mechanical Designer
Stellar Recruitment Inc.
Toronto, ON
- $70,000 to $90,000 CAD / year
- Full-time
Added 9 hours ago
HT
Manuf. Support Technician
Husky Technologies
Bolton, ON
- Full-time
Added 9 hours ago
HT
CNC Machinist - Rotational Shifts only + Benefits package + Paid time off +Shift Premium+ RRSP benefits
Husky Technologies
Bolton, ON
- Full-time
Added 9 hours ago
LC
Staff Data Engineer - Retail Media Platform
Loblaw Companies Limited
Toronto, ON
- Full-time
Added 9 hours ago
LC
Natural Foods Clerk Part Time Day Greenlight Requisition
Loblaw Companies Limited
Vaughan, ON
- Part-time
Added 9 hours ago
LC
Meat Clerk Part Time Day Greenlight Requisition
Loblaw Companies Limited
Toronto, ON
- Part-time
Added 9 hours ago
LC
Coffee Clerk Part Time Day Greenlight Requisition
Loblaw Companies Limited
Vaughan, ON
- Part-time
Added 9 hours ago
LC
Soup, Sandwich, Chill and Grill Student Part Time Day Greenlight Requisition
Loblaw Companies Limited
Vaughan, ON
- Part-time
Added 9 hours ago
W
Deli Bakery Team associate
Walmart
Toronto, ON
- Part-time
Added 9 hours ago
W
Front End Checkout Team Associate
Walmart
Toronto, ON
- Part-time
Added 9 hours ago
IT Engineer, Google Workspace
HelloFresh
Toronto, ON
Added 9 hours ago
Project Specialist
VIA HFR - VIA TGF Inc
Toronto, ON
Added 9 hours ago
M
Director & Actuary, Corporate Development
Manulife
Toronto, ON
- Full-time
Added 9 hours ago
AG
Sr. Campaign Manager, Social
Adelphi Group
Toronto, ON
- Full-time
Added 9 hours ago
A
Field Representative - Alcoholic Beverages
Acosta
Toronto, ON
- Full-time
Added 9 hours ago
C
Regional Recruiter - Canada
Chipotle
Toronto, ON
- Full-time
Added 9 hours ago
EF
Paralegal, Legal Operations
Element Fleet Management
Toronto, ON
- Full-time
Added 9 hours ago
E
Manager, Product Strategy & Operations
eBay
Toronto, ON
- Full-time
Added 9 hours ago
SI
Product Manager, Bitmoji
Snap Inc.
Toronto, ON
- Full-time

TEEMA

Senior Machine Learning Engineer

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Must Haves:

Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, model deployment, monitoring and observability.
Strong Python and machine-learning engineering skills with demonstrated experience taking models from experimentation into reliable production environments. Tech stack: Python, SQL, Power BI, Power Automate, VSCode, Git, Jira, Azure (ML Studio, AI Foundry), Databricks.
Deep understanding of ML algorithms and statistics, including classification, regression, clustering, feature engineering, model evaluation, hyperparameter tuning, drift, retraining, performance optimization and production model troubleshooting.

Location: Hybrid – 3 days a week onsite

Public Sector Experience: preferred but not required

Description

The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices. The role will establish reusable deployment patterns, tooling, monitoring, and automation that enable AI solutions to move reliably from development into production and scale across the enterprise.

Responsibilities:

Creates machine learning models and utilizes data to train models.
Focuses on analyzing data to find relations between the input and the desired output.
Understands business objectives and develops models that help achieve them, along with metrics to track their progress.
Designs and develops machine learning and deep learning systems.
Runs machine learning tests and experiments.
Implements appropriate machine learning algorithms.

General Skills:

Experience managing available resources such as hardware, data, and personnel so that deadlines are met.
Experience analyzing the machine learning algorithms that could be used to solve a given problem and ranking them by their success probability.
Experience exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
Experience verifying data quality, and/or ensuring it via data cleaning.
Experience supervising the data acquisition process if more data is needed.
Experience finding available datasets online that could be used for training.
Experience defining validation strategies.
Experience defining the preprocessing or feature engineering to be done on a given dataset.
Background in statistics and computer programming.

A team player with a track record for meeting deadlines, managing competing priorities and client relationship management experience.

Apply About employer

More about this job

Responsibilities

Develop, deploy, integrate, and operationalize machine-learning and deep-learning solutions, moving models from experimentation into reliable production environments. Establish reusable deployment patterns, monitoring, tooling, and automation to support model performance and enterprise-scale operations.

Requirements

Requires advanced hands-on experience with Azure Machine Learning or Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, deployment, and monitoring, along with strong Python and machine-learning engineering skills. Candidates should understand machine-learning algorithms, statistics, data preparation, feature engineering, model evaluation, tuning, drift, retraining, and production troubleshooting; public-sector experience is preferred but not required.

Skills

Azure Machine Learning
Azure AI Foundry
MLOps
CI/CD
Python
Machine Learning
Model Deployment
Model Monitoring
Containers
APIs
Automation
Databricks
SQL
Power BI
Power Automate
Statistics

Visa sponsorship

Not detected in the job text

Keywords

Azure Machine Learning
Microsoft Foundry
Azure AI Foundry
MLOps
CI/CD
Containers
APIs
Automation
Model Deployment
Monitoring
Observability
Python
SQL
Power BI
Power Automate
Visual Studio Code
Git
Jira
Azure ML Studio
Databricks
Machine Learning
Deep Learning
Classification
Regression
Clustering
Feature Engineering
Model Evaluation
Hyperparameter Tuning
Model Drift
Data Cleaning

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