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.

87,946 listings · 10,246 employers Counted Nov 5, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (1,973 listings), Loblaw Companies Limited (1,500 listings), Shoppers Drug Mart (1,336 listings).

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

13,701 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	7,580
CAD / hour	26.30	5,640
USD / year	158,000.00	73
CAD / month	5,250.00	36
CAD / week	2,914.00	27
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 12 hours ago
LT
Production support - Mainframe (NOT developer)
Lorven Technologies Inc.
Toronto, ON
- Contract
Added 12 hours ago
I
Events Manager
Indigo
Toronto, ON
- $85,000 to $95,000 CAD / year
- Full-time
Added 12 hours ago
PA
Administrative Assistant
Peak Associates Limited
Toronto, ON
- $60,000 to $70,000 CAD / year
- Full-time
Added 12 hours ago
MR
Data Architect
MPA Recruitment
Toronto, ON
- Full-time
Added 12 hours ago
SI
Manager Accounting Financial Reporting
Stelvio Inc.
Toronto, ON
- Full-time
Added 12 hours ago
Y
Specialist Administrator - Snowflake
Yochana
Markham, ON
- Full-time
Added 12 hours ago
T
Director, Utility Engineering & Business Development
Telecon
Vaughan, ON
- $145,000 to $150,000 CAD / year
- Full-time
Added 12 hours ago
V
Technical Architect
VySystems
Toronto, ON
- Contract
Added 12 hours ago
IG
Account Manager
Insight Global
Toronto, ON
- $75,000 to $80,000 CAD / year
- Full-time
Added 12 hours ago
FC
Soil & Groundwater Manager
FCC Construcción
Toronto, ON
- $110,000 to $150,000 CAD / year
- Full-time
Added 12 hours ago
T
Head of Engineering
Talently
Toronto, ON
- Full-time
Added 12 hours ago
HG
Junior Promotions Manager
HirePoint Group
Toronto, ON
- Full-time
Added 12 hours ago
AG
Family Office Associate
August Group
Toronto, ON
- Full-time
Added 12 hours ago
YP
FBA Prep Center Receiving Specialist
YYZ Prep
Toronto, ON
- Full-time
Added 13 hours ago
Medical Advisor (Part-Time, 2 days/week, 1-year term)
CPSO
Toronto, ON
Added 13 hours ago
M
Third-Party Risk Management Analyst Vendor Risk & Due Diligence
Manulife
Toronto, ON
- $42 to $47 CAD / hour
- Full-time
Added 13 hours ago
IS
QE Lead
Iris Software Inc.
Toronto, ON
- Contract
Added 13 hours ago
IC
Technical Digital Business Analyst
iPartner Consulting
Toronto, ON
- Contract
Added 13 hours ago
K
Senior Integration Developer
Klick
Toronto, ON
- Full-time
Added 13 hours ago
D
Senior .NET Developer with ReactJS( Toronto, ON Canada) Hybrid
Damcosoft
Toronto, ON
- Contract
Added 13 hours ago
PS
Data Engineer
Prodigy Systems Inc.
Toronto, ON
- $90,000 to $100,000 CAD / year
- Contract
Added 13 hours ago
RH
Senior Compensation Analyst, Total Rewards (12-mon Contract)
Robert Half
Toronto, ON
- Contract
Added 13 hours ago
ZS
Mobile Developer (React Native and Bankning domain Knowledge)
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 13 hours ago
D
Third party risk Analyst
Dexian
Toronto, ON
- $45 to $55 CAD / hour
- Contract
Added 13 hours ago
WO
Orthopaedic Technologist - Emergency
William Osler Health System
Brampton, ON
- Part-time

vTech Solution Canada

Machine Learning Engineer

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Job Title: Machine Learning Engineer - Senior

Location: Toronto, ON

Work Mode: Hybrid (3 days a week onsite)

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

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.

Public Sector Experience: preferred but not required

Apply About employer

More about this job

Responsibilities

Develop, test, and deploy machine-learning and deep-learning models that address business objectives, using appropriate algorithms and measurable performance metrics. Establish reusable MLOps deployment patterns, automation, monitoring, and operational practices to move AI solutions reliably into production and scale them across the enterprise.

Requirements

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

Skills

Python
Machine Learning
MLOps
Azure Machine Learning
Azure AI Foundry
CI/CD
Containerization
API Integration
Model Deployment
Model Monitoring
Observability
SQL
Databricks
Feature Engineering
Model Evaluation
Statistics

Visa sponsorship

Not detected in the job text

Keywords

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

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