Jobs in Toronto, ON and nearby

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

92,766 listings · 10,785 employers Counted Nov 5, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,482 listings), Loblaw Companies Limited (1,297 listings), Scotiabank (970 listings).

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

15,198 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	8,884
CAD / hour	26.00	5,794
USD / year	155,000.00	78
CAD / month	5,250.00	36
CAD / week	2,823.64	29
CAD / day	140.00	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, 29% hybrid, 71% 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 Toronto, ON and nearby

Within 25 km

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Added 18 hours ago
TH
COORDONNATEUR DU SERVICE À LA CLIENTÈLE
The Home Depot Canada
Vaughan, ON
- Full-time
Added 18 hours ago
TW
Generative AI Lead
Terribly Wonderful
Toronto, ON
- Full-time
Added 18 hours ago
FO
Travelling Commercial Superintendent - CONTRACT
First Onsite - CA
Toronto, ON
- $29 to $34 CAD / hour
- Contract
Added 18 hours ago
PC
Privacy, Legal Counsel Manager
PwC Canada
Toronto, ON
- Full-time
Added 18 hours ago
CB
Sales Assistant - St. Lawrence
COBS Bread
Toronto, ON
- Full-time
Added 18 hours ago
SC
barista - Store# 23280, 8220 BAYVIEW AVE
Starbucks Coffee Company
Markham, ON
- Full-time
Added 18 hours ago
Grill Team Member
Poulet Rouge
Toronto, ON
Added 18 hours ago
Q
GPU Design Verification Engineer
Qualcomm
Markham, ON
- Full-time
Added 19 hours ago
PD
Director, DeNovo Development & Onboarding
Passion Dental Group
Toronto, ON
- Full-time
Added 19 hours ago
PD
Certified Dental Assistant (Level II) (Vaughan)
Passion Dental Group
Vaughan, ON
- Full-time
Added 19 hours ago
PD
Assistant Clinic Manager - Dental
Passion Dental Group
Toronto, ON
- Full-time
Added 19 hours ago
BM
Bilingual talent acquisition specialist
Brand Momentum
Mississauga, ON
- Contract
Added 19 hours ago
PD
Registered Dental Hygienist (Toronto and GTA)
Passion Dental Group
Toronto, ON
- Part-time
Added 19 hours ago
LH
SENIOR MICROSOFT SYSTEMS ADMINISTRATOR
Logic Hire Solutions LTD
Toronto, ON
- $110,000 to $160,000 CAD / year
- Full-time
Added 19 hours ago
SL
Senior Consultant, Strategy, Sunlife Health
Sun Life
Toronto, ON
- Full-time
Added 19 hours ago
SL
Senior Consultant, Strategy, Sunlife Health
Sun Life
Toronto, ON
- Full-time
Added 19 hours ago
MS
Sales manager
Michaels Stores
Toronto, ON
- Full-time
Added 19 hours ago
Specialist, Demand Planning
CONA Services
Toronto, ON
Added 19 hours ago
Specialist, Demand Planning
CONA Services
Toronto, ON
Added 19 hours ago
W
Licensed Millwright (433A) - $51/hr - Rotating Shift
Wonderbrands
Toronto, ON
- Other
Added 19 hours ago
W
Licensed Industrial Electrician (Rotating) - $51/hr + Premiums
Wonderbrands
Toronto, ON
- Other
Added 19 hours ago
OW
Oliver Wyman- Private Capital/Industrials- Senior Consultant/Associate
Oliver Wyman Group
Toronto, ON
- Other
Added 19 hours ago
Part Time Registered Massage Therapist/RMT
MyoCare Registered Massage Therapy + Wellness
Toronto, ON
Added 19 hours ago
D
Senior Manager, Strategic Project Management
Datasite
Toronto, ON
- Full-time
Added 19 hours ago
VT
Urgent job openings for iOS & Android Consultants
Vision Talent Co.
Toronto, ON
- Contract

vTech Solution Canada

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

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, deploy, integrate, monitor, and operationalize machine-learning solutions, establishing reusable MLOps patterns and automation to move models reliably into production. Analyze data, design and test models, and track their performance to support business objectives and enterprise-scale deployment.

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 and statistics, production model troubleshooting, and experience with data preparation, validation, evaluation, tuning, drift, and retraining; public-sector experience is preferred but not required.

Skills

Python
Machine Learning
MLOps
Azure Machine Learning
Azure AI Foundry
CI/CD
Model Deployment
Model Monitoring
Containers
APIs
Automation
SQL
Databricks
Statistics
Feature Engineering
Model Evaluation

Visa sponsorship

Not detected in the job text

Keywords

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

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