Jobs in Vaughan, ON and nearby (91,156 jobs)

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

91,156 listings · 10,428 employers Counted Nov 9, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (2,128 listings), Loblaw Companies Limited (1,557 listings), Shoppers Drug Mart (1,394 listings).

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

14,146 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	7,851
CAD / hour	27.00	5,808
USD / year	158,000.00	73
CAD / month	4,500.00	37
CAD / week	1,650.00	31
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

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Added 3 hours ago
I-
Senior Accountant - Contract Opportunity
IFG - International Financial Group
Toronto, ON
- $50 to $65 CAD / hour
- Contract
Added 3 hours ago
WH
Senior Paralegal – Corporate Commercial & Litigation
WHL Holdings
Toronto, ON
- Full-time
Added 3 hours ago
H
Senior JavaScript Developer
Hays
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Added 3 hours ago
TP
HR Employment Documentation Specialist
The Portfolio Group
Toronto, ON
- Full-time
Added 3 hours ago
UC
Full Stack Developer
UniSysTech Consulting
Toronto, ON
- Full-time
Added 3 hours ago
A
Director, Manager Research & Oversight
Aviso
Toronto, ON
- $135,000 to $170,000 CAD / year
- Full-time
Added 3 hours ago
A
Manager, Sales Compensation
Aviso
Toronto, ON
- $110,000 to $135,000 CAD / year
- Full-time
Added 3 hours ago
HE
Marketing Associate
Hype Events
Toronto, ON
- $41,000 to $45,000 CAD / year
- Full-time
Added 3 hours ago
M
CNC Machinists, Lathe and Mills - CFN Precision, Vaughan
MAGROUP
Vaughan, ON
- Full-time
Added 3 hours ago
JG
Sr. Guidewire PolicyCenter Integration Developer
J&M Group
Toronto, ON
- Full-time
Added 3 hours ago
MC
Product Marketing Manager - Offline & Content Marketing
Moomoo Canada
Toronto, ON
- Full-time
Added 3 hours ago
DI
Cost Accounting Manager
Drake International
Vaughan, ON
- Full-time
Added 3 hours ago
B
In-Store Sales Assistant
Boomerang
Toronto, ON
- Full-time
Added 3 hours ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $70 to $90 CAD / hour
- Contract
Added 3 hours ago
Associate VP
DEPT®
Toronto, ON
Added 3 hours ago
LC
Cashier Part Time Day Greenlight Requisition
Loblaw Companies Limited
Toronto, ON
- Part-time
Added 3 hours ago
Talent Acquisition & Culture Specialist
Human Resources
Toronto, ON
Added 3 hours ago
E
Corporate Accountant
Enwave
Toronto, ON
- Full-time
Added 3 hours ago
T
Marketing Manager (Integrated Marketing Planning)
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
Software Engineer II - Senior IVR Developer
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
Audit Manager I (ATH 1239)
TD
Toronto, ON
- Full-time
Added 4 hours ago
Senior Manager, Sales Enablement and Strategy
Metergy Solutions
Toronto, ON
Added 4 hours ago
C
Associate Graduate Leadership Development Program - Summer 2027
CIBC
Toronto, ON
- Full-time
Added 4 hours ago
E(
Heavy Duty Cleaner Full Time Permanent
ESFM (CCSSL Eurest)
Toronto, ON
- Full-time
Added 4 hours ago
MA
Solutions Engineer
Mosaic AI
Toronto, ON
- Full-time

Insight Global

AI Data Science Engineer

Toronto, ON, Canada

$70 to $90 CAD / hour · Contract

Apply About employer

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Job details

Pay: $70 to $90 CAD / hour
Job type: Contract
Apply by: Dec 9, 2026
Experience: 2+ years of hands-on Data Science, Machine Learning, or AI Engineering experience.
Posting language: English
Posted: Nov 9, 2026

Original job description

JOB DESCRIPTION

We are seeking an AI Data Science Engineer to join a team focused on developing and productionizing advanced AI and machine learning solutions for Commercial Banking and underwriting.

This is a hybrid Data Scientist + AI/ML Engineer role. The ideal candidate can take an ambiguous business problem, translate it into a mathematical/data science problem, build the appropriate model, and then help bring that solution into production.

Key Responsibilities

Design, build, and productionize AI and machine learning models.

Develop AI agents and agentic workflows using modern LLM frameworks.

Build solutions supporting commercial underwriting and prospect scouting.

Apply traditional machine learning, deep learning, and graph-based modeling techniques to complex business problems.

Develop and optimize models using Python and PySpark.

Work with graph neural networks / graph-based machine learning where appropriate.

Build agentic AI solutions using LangChain and LangGraph within AWS environments.

Take high-level or abstract business concepts and translate them into mathematical, analytical, and technical solutions.

Partner with business and technical stakeholders to move AI solutions from concept → model development → production.

Evaluate model performance and continuously improve AI/ML solutions.

REQUIRED SKILLS AND EXPERIENCE

2+ years of hands-on Data Science, Machine Learning, or AI Engineering experience.

Strong hands-on Python development experience.

Experience building machine learning models from scratch.

Strong understanding of traditional ML methodologies.

Experience with deep learning.

Hands-on experience building and productionizing AI/ML models.

Experience with PySpark for large-scale data processing.

Experience with scikit-learn or comparable Python ML libraries.

Experience building AI agents / agentic AI solutions.

Strong experience with LangChain and/or LangGraph.

Experience developing AI/ML solutions within AWS.

Strong problem-solving and critical-thinking skills, especially the ability to translate an abstract business problem into a structured mathematical or ML problem.

NICE TO HAVE SKILLS AND EXPERIENCE

Banking experience

Artificial intelligence tools are used to assist in screening and assessing applicants for this position.

Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.

70-90/hr

Apply About employer

More about this job

Responsibilities

Design, develop, and productionize AI and machine learning models, agents, and workflows for commercial underwriting and prospect scouting, using techniques such as traditional ML, deep learning, and graph-based modeling. Translate business problems into analytical and technical solutions, collaborate with stakeholders to deliver them to production, and evaluate and improve model performance.

Requirements

Requires at least two years of hands-on experience in data science, machine learning, or AI engineering, strong Python skills, and experience building and productionizing models using traditional ML, deep learning, and PySpark. Candidates should also have experience with AI agents, LangChain or LangGraph, AWS, and translating abstract business problems into structured mathematical or machine learning problems; banking experience is a plus.

Skills

Python
PySpark
Machine Learning
Deep Learning
Artificial Intelligence
AI/ML Model Productionization
AI Agents
Agentic Workflows
LangChain
LangGraph
AWS
Scikit-Learn
Graph-Based Machine Learning
Graph Neural Networks
Data Science
Commercial Underwriting

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Data Science
AI Engineering
Python
PySpark
Scikit-Learn
Deep Learning
Traditional Machine Learning
Graph-Based Modeling
Graph Neural Networks
AI Agents
Agentic Workflows
LangChain
LangGraph
AWS
Model Productionization
Commercial Banking
Commercial Underwriting
Prospect Scouting
Large-Scale Data Processing
Model Performance Evaluation
Mathematical Modeling
Stakeholder Collaboration

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