Greater Toronto Area, On Ai/ml engineer Jobs – 617 Openings This Week

AI Engineer Intelligent Systems & Analytics
QMC Metering Solutions —North York, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Wellness program
- Commuter benefits
Quick apply
Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
- $79,000–$131,000 a year
- Full-time
- SQL
- In-person
- Python
- Store discount
- Profit sharing
Quick apply
ML Engineer – Generative AI & LLMs (Remote)
Ample Insight Inc. —Toronto, ON
- Contract
- Remote
- Azure
- Doctoral degree
- Computer Science
Quick apply
AI / ML Engineer
US Mobile —Toronto, ON
- $130,000–$220,000 a year
- Full-time
- Hybrid work
- AWS
- Presentation skills
- Machine learning
- Flexible schedule
Quick apply
13d
AI/ML Engineer
Recutify Inc. —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- Databases
Quick apply
AI Engineer
Compass Group Canada Ltd —Toronto, ON
- $110,000–$150,000 a year
- Hybrid work
- No experience needed
- Databases
- SQL
Quick apply
AI Engineer
FacilityOS —North York, ON
- $120,000–$150,000 a year
- Full-time
- Hybrid work
- Microsoft Outlook
- Computer Science
- Engineering
Quick apply
1d
Applied AI Engineer
Derivative Path —Toronto, ON
- $110,000–$150,000 a year
- Full-time
- Remote
- Azure
- AWS
- AI
- Dental care
- Paid time off
Machine Learning Engineer II (Servicing ML)
Affirm —Toronto, ON
- $123,000–$183,000 a year
- Remote
- Machine learning
- APIs
- Communication skills
- Employee stock purchase plan
- Dental care
AI Engineer
YuJa Inc. —North York, ON
- $90,000–$100,000 a year
- Full-time
- Azure
- Databases
- AWS
- Dental care
- Vision care
Quick apply
6d
NEW GRAD AI Developer
CGI —Toronto, ON
- $50,000–$80,000 a year
- Hybrid work
- Computer Science
- Engineering
- Databases
Quick apply
3d
AI Research Engineer
Deloitte —Toronto, ON
- $72,000–$138,000 a year
- Hybrid work
- Azure
- DevOps
- AWS
Senior Scientist - Agentic AI Systems
Sanofi EU —Toronto, ON
- $108,900–$157,300 a year
- Azure
- Doctoral degree
- Computer Science
12d
Senior Cloud Engineer AI
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Azure
- Databases
- AWS
- Tuition reimbursement
- Life insurance
Senior Cloud Engineer AI
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- Azure
- Databases
- AWS
- Tuition reimbursement
- Life insurance
Intermediate Automation Engineer
Miipe Inc —Markham, ON
- $60,000–$65,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
Principal Data Engineer
Tangerine Bank —Toronto, ON
- Azure
- DevOps
- AWS
Operations Lead, Digital Research and Development Data AI Products and Platforms
Sanofi EU —Toronto, ON
- $105,200.00–$151,933.33 a year
- Bilingual
- Spanish
- Engineering
Agentic AI Solutions Architect
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Computer Science
- AWS
- Bachelor's
6d
Senior Specialist, Data Modeler (Microsoft
Vale —Toronto, ON
- $119,000 a year
- Azure
- Computer Science
- Engineering
- Dental care

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ai/ml engineer jobs near greater toronto area, on

AI Engineer Intelligent Systems & Analytics

QMC Metering Solutions -
North York, ON

Quick apply

Job details

Permanent | Full-time

Qualifications

TensorFlow
Azure
Law
Computer Science
Internet of things
PyTorch
DevOps
Engineering
Mathematics
Databases
Statistical analysis
AWS
Analysis skills
Docker
Machine learning
AI
Model evaluation
Python
Data Science

Full job description

AI Engineer - Intelligent Systems & Analytics

QMC Metering Solutions supplies and integrates several meter technologies to effectively monitor the consumption of electricity, water, gas and thermal energy consumption of commercial and residential properties. We have offices in Port Coquitlam, Ottawa and Toronto and have a support and distribution network across the country including Edmonton and Montreal.

QMC is seeking an experienced AI Engineer to design and implement machine learning and AI-driven capabilities across our cloud-based utility data and IoT platforms.

This role focuses on transforming large-scale time-series and sensor datasets into predictive insights, automation tools, and intelligent workflows. The ideal candidate has experience deploying ML systems in production environments and building scalable AI services in cloud-native architectures. You will work closely with backend engineers, product teams, and field technology specialists to develop intelligent systems that improve operational efficiency, data quality, and system performance.

Key Responsibilities

Machine Learning & Predictive Modeling

Design, develop, and deploy machine learning models for anomaly detection, forecasting, and predictive maintenance.
Work with large-scale time-series datasets from metering and IoT systems.
Perform feature engineering and model optimization.
Run experiments, validate results, and measure model accuracy.
Retrain and tune models to prevent drift and maintain performance.

AI Application Development

Build AI-powered features within SaaS applications.
Develop natural language interfaces and intelligent query tools.
Implement Retrieval-Augmented Generation (RAG) pipelines where appropriate.
Design AI assistants to support operational workflows and technical users.
Ensure outputs respect security, data privacy, and role-based permissions.

Data & Infrastructure

Develop scalable data pipelines for ML model training and inference.
Implement CI/CD processes for model deployment.
Contribute to cloud architecture design (AWS and/or Azure).
Monitor model performance and maintain production reliability.
Collaborate on infrastructure automation and DevOps practices.

Edge & IoT Intelligence (Preferred)

Develop lightweight analytics for device-level or near-edge processing.
Optimize models for performance in constrained environments.
Support telemetry analysis and automated device health monitoring.

Required Qualifications

5+ years of experience in machine learning engineering or applied data science.
Degree in Computer Science, Engineering, Mathematics, or related discipline.
Strong Python experience (TensorFlow, PyTorch, Scikit-learn, or similar).
Experience deploying ML models in production systems.
Demonstrated experience in 'Copilot Studio and associated AI Apps'
Experience working with time-series or sensor-based data.
Solid understanding of statistical analysis and experimental design.

Technical Skills

Machine Learning

Time-series forecasting
Anomaly detection
Model evaluation frameworks
Feature engineering
Model versioning and lifecycle management

Cloud & DevOps

AWS and/or Azure
Docker and containerized deployments
CI/CD pipelines
Infrastructure automation

Data Systems

ETL pipeline design
Large dataset processing
Experience with modern databases or data warehouses

Preferred Experience

Experience with IoT or industrial data environments.
Familiarity with LLM deployment and prompt engineering.
Experience building secure, multi-tenant AI systems.
Knowledge of MLOps best practices.

Core Competencies

Strong analytical and problem-solving skills.
Ability to work independently on complex, non-routine challenges.
Clear technical communication.
Collaborative mindset across cross-functional teams.
Research-oriented and continuously learning.

What Success Looks Like

ML models successfully deployed into production environments.
Measurable improvements in operational insight and automation.
Stable and scalable AI services integrated into SaaS platforms.
Clear model performance metrics and monitoring in place.

Why work with us?

QMC is a leading North American provider of innovative sub‑metering solutions, powered by a diverse and inclusive team. . We offer a supportive, growth‑focused workplace with:

Diverse, inclusive, people‑focused culture
Active DEIB and Sustainability committees
Hybrid work options (role‑dependent)
Competitive benefits plan + bonus incentives
100% tuition reimbursement
Annual wellness reimbursement
Company‑matched RSP contributions
Paid volunteer day
Transit subsidy
Strong recognition programs
Company social events + team‑building activities

Join us and grow your career with a team that values your impact!

Job Types: Full-time, Permanent

Benefits:

Commuter benefits
Company events
Dental care
Employee assistance program
Extended health care
Life insurance
On-site parking
Paid time off
RRSP match
Tuition reimbursement
Vision care
Wellness program
Work from home

Experience:

machine learning engineering or applied data science: 5 years (required)
strong Python : 5 years (required)

Work Location: Hybrid remote in North York, ON M3C 1Z3

Quick apply

Refine Your Search

ai/ml engineer jobs in greater toronto area, on

AI Engineer Intelligent Systems & Analytics

Lead Scientist - Applied ML

ML Engineer – Generative AI & LLMs (Remote)

AI / ML Engineer

AI/ML Engineer

AI Engineer

AI Engineer

Applied AI Engineer

Machine Learning Engineer II (Servicing ML)

AI Engineer

NEW GRAD AI Developer

AI Research Engineer

Senior Scientist - Agentic AI Systems

Senior Cloud Engineer AI

Senior Cloud Engineer AI

Intermediate Automation Engineer

Principal Data Engineer

Operations Lead, Digital Research and Development Data AI Products and Platforms

Agentic AI Solutions Architect

Senior Specialist, Data Modeler (Microsoft

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