Jobs in Mississauga, ON and nearby

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

79,936 listings · 10,184 employers Counted Oct 31, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (1,303 listings), Shoppers Drug Mart (1,260 listings), S M Software Solutions Inc (962 listings).

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

13,198 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	6,978
CAD / hour	30.00	5,200
USD / year	115,000.00	405
USD / hour	30.00	256
CAD / month	6,000.00	23
CAD / week	2,914.00	18

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 Mississauga, ON and nearby

Within 25 km

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Added 15 hours ago
L
Senior Project Manager, Highrise Residential Construction
Ledcor
Toronto, ON
- Full-time
Added 15 hours ago
FM
Manufacturing Technical Analyst
Ford Motor Company
Oakville, ON
- Full-time
Added 15 hours ago
Personal Support Worker
Halton Region
Oakville, ON
Added 15 hours ago
IF
Communications Advisor II - Strategic Internal Communications
Intact FC
Toronto, ON
- Full-time
Added 15 hours ago
IF
Bilingual (FR-EN) Manager, Security Platforms and Resilience, Security Operations Centre
Intact FC
Toronto, ON
- Full-time
Added 15 hours ago
Fraud Detection Analyst
Scotiabank
Toronto, ON
Added 15 hours ago
Product Marketing Manager
AutoTrader.ca
Toronto, ON
Added 15 hours ago
Sr Project Manager
The Canada Life Assurance Company
Toronto, ON
Added 15 hours ago
E
Employee Services Rep
Enbridge
Toronto, ON
- Full-time
Added 15 hours ago
Night Supervisor, Maintenance
CONA Services
Brampton, ON
Added 15 hours ago
Management Trainee
Cintas
Toronto, ON
Added 15 hours ago
SI
Bilingual Underwriting Assistant
Sovereign Insurance
Toronto, ON
- Full-time
Added 15 hours ago
Sessional Instructional Assistant CSC110Y5F Foundations of Comp Sci 1 (Autotesting)(Emerg Posting)
University of Toronto
Mississauga, ON
Added 15 hours ago
Junior Quality Control Associate
HelloFresh
Mississauga, ON
Added 15 hours ago
Ticketing Services Assistant
City of Mississauga
Mississauga, ON
Added 15 hours ago
U
ARCHITECTURAL SALES REPRESENTATIVE
Unilock
Georgetown, ON
- Full-time
Added 15 hours ago
SV
Assistant Director of Environmental Services - Permanent Full time
Schlegel Villages
Toronto, ON
- Full-time
Added 15 hours ago
GI
Light Duty Cleaner
GDI Integrated Facility Services
Toronto, ON
- Part-time
Added 15 hours ago
U
Production Supervisor - UniFirst Canada
UniFirst
Mississauga, ON
- Full-time
Added 15 hours ago
W
Labour Relations Specialist
Wonderbrands
Toronto, ON
- Other
Added 15 hours ago
E
Revenue Enablement Senior Manager/Director
EcoVadis
Toronto, ON
- Full-time
Added 15 hours ago
UH
Senior Director, Redevelopment
University Health Network
Toronto, ON
- Full-time
Added 15 hours ago
T
Business Development Representative
Talan
Toronto, ON
- $75,000 to $80,000 CAD / year
- Full-time
Added 15 hours ago
Managing Principal – Cybersecurity Strategy & Transformation
Capco
Toronto, ON
Added 15 hours ago
MI
Senior Associate Director, Debt Services
MUFG Investor Services
Toronto, ON
- $93,750 to $137,500 CAD / year
- Full-time

Swoon

Artificial Intelligence Engineer

Toronto, ON, Canada

Contract

Apply About employer

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Job details

Job type: Contract
Apply by: Nov 28, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

AI Engineer

6-Month Contract with Potential Extension

Hybrid – 3 Days Onsite in Toronto

Compensation: Hourly Rates

T4: 70-75

IC: 83 - 90

You don't need extensive experience building AI agents to be successful in this role. Candidates with backgrounds in Data Science, Machine Learning, Quantitative Analysis, Mathematics, or Software Engineering who have a solid understanding of AI are encouraged to apply.

Key Responsibilities

Partner with business and technical stakeholders to understand challenges, lead discovery discussions, and clarify requirements.
Translate ambiguous business problems into structured problem statements, mathematical models, analytical frameworks, and technical solutions.
Apply critical thinking, statistical reasoning, and quantitative techniques to investigate problems and evaluate potential approaches.
Design and develop Python-based applications, prototypes, analytical models, and AI-enabled solutions.
Identify opportunities to leverage generative AI, machine learning, large language models (LLMs), and agentic AI to address business challenges.
Develop AI workflows incorporating APIs, tool calling, prompt engineering, context engineering, and workflow orchestration.
Explore and implement Retrieval-Augmented Generation (RAG) solutions using embeddings, vector search, and contextual grounding.
Analyze structured and unstructured data, test hypotheses, and evaluate model performance.
Develop testing frameworks, evaluation datasets, and performance metrics to assess the accuracy and reliability of AI solutions.
Conduct experimentation and error analysis to identify weaknesses and continuously improve AI capabilities.
Communicate technical findings, recommendations, and potential limitations to technical and non-technical stakeholders.

Required Qualifications

Strong analytical thinking, critical reasoning, and problem-solving abilities.
Solid mathematical and quantitative foundations, including statistical reasoning and logical analysis.
Professional experience in AI Engineering, Data Science, Machine Learning, Software Engineering, Quantitative Analysis, or a related technical discipline.
Strong hands-on Python development experience.
Understanding of artificial intelligence, machine learning, generative AI, and large language models (LLMs).
Experience with data analysis, experimentation, hypothesis testing, and model evaluation.
Ability to translate business requirements and ambiguous challenges into structured technical solutions.
Strong communication and collaboration skills, with the ability to explain complex concepts to different audiences.
Demonstrated ability to learn new technologies and adapt to unfamiliar technical challenges.

Preferred Qualifications

Experience developing generative AI applications, AI agents, or LLM-powered solutions.
Familiarity with Retrieval-Augmented Generation (RAG), embeddings, vector databases, and hybrid search.
Experience with prompt engineering, tool calling, structured outputs, and AI workflow orchestration.
Knowledge of Python libraries such as pandas, NumPy, scikit-learn, FastAPI, Pydantic, and pytest.
Exposure to frameworks such as LangChain, LangGraph, or LlamaIndex.
Experience with mathematical modelling, optimization, forecasting, or statistical analysis.
Familiarity with automated testing, Git, CI/CD, Docker, and cloud-based application deployment.
Previous experience in banking, financial services, or other regulated industries.
Degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related quantitative discipline, or equivalent practical experience.

Apply About employer

More about this job

Responsibilities

Partner with business and technical stakeholders to clarify requirements and turn ambiguous challenges into structured analytical models and technical solutions. Develop Python-based AI applications and workflows, evaluate their performance, and communicate findings and limitations to stakeholders.

Requirements

Candidates need strong Python development skills, quantitative and analytical foundations, and professional experience in a relevant technical discipline. They should understand AI, machine learning, generative AI, and LLMs, and be able to analyze data, evaluate models, translate business needs into technical solutions, and communicate effectively.

Skills

Python
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Data Analysis
Statistical Reasoning
Mathematical Modeling
Prompt Engineering
Retrieval-Augmented Generation
Embeddings
Vector Search
AI Workflow Orchestration
Model Evaluation
Hypothesis Testing
Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
AI Agents
Retrieval-Augmented Generation
Embeddings
Vector Databases
Hybrid Search
Prompt Engineering
Tool Calling
Workflow Orchestration
Pandas
NumPy
Scikit-Learn
FastAPI
Pydantic
Pytest
LangChain
LangGraph
LlamaIndex
Git
CI/CD
Docker
Cloud Deployment
Statistical Analysis
Hypothesis Testing
Model Evaluation
Mathematical Modeling

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