toronto on natural language processing Jobs – 54 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
AI PRACTITIONER
ONT.COLLEGE OF TEACHERS —Toronto, ON
- $88,806–$102,253 a year
- Full-time
- Azure
- Computer Science
- SQL
Quick apply
23h
GenAI & Python Specialist - Operate
Deloitte —Toronto, ON
- $72,000–$125,000 a year
- Temporary
- Hybrid work
- Recruiting
- APIs
- AI
Senior Machine Learning Researcher
Royal Bank of Canada —Toronto, ON
- Full-time
- Doctoral degree
- Computer Science
- Research
Data Scientist
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Computer Science
- Master's degree
Senior Data Scientist II
LexisNexis —Toronto, ON
- $101,800–$151,800 a year
- Full-time
- Azure
- AWS
- Machine learning
- Wellness program
- Disability insurance
Freelance Data Scientist, ad hoc
Klick Health —Toronto, ON
- $40–$45 an hour
- Contract
- Remote
- Azure
- Data analysis skills
- Master's degree
Quick apply
2d
Staff Applied AI Agent Developer
Google —Toronto, ON
- $207,000–$300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Senior Consultant - AI and Data - Toronto
EY —Toronto, ON
- $90,500–$136,000 a year
- Azure
- Computer Science
- Engineering
- Dental care
13d
GEN AI/ML Developer - Mississauga
Photon —Mississauga, ON
- Machine learning
- AI
- Python
Staff Data Scientist, (Global Security)
Royal Bank of Canada —Toronto, ON
- Full-time
- Analysis skills
- Python
9h
Machine Learning Engineer
NTENT —Toronto, ON
- Full-time
- Computer Science
- Java
- Master's degree
- Designated paid holidays
- Disability insurance
Quick apply
Senior Data Scientist
Celestica —Toronto, ON
- Remote
- Azure
- SQL
- Machine learning
Applied Scientist, Sales AI
Amazon Development Centre Canada ULC —Toronto, ON
- $149,300–$249,300 a year
- Full-time
- Doctoral degree
- Computer Science
- Java
- Profit sharing
- Dental care
Principal Machine Learning Engineer
Workday —Toronto, ON
- $188,000–$282,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
RQ09508 - Sr. Machine Learning Engineer
Source Code —Toronto, ON
- Full-time
- Hybrid work
- Machine learning
- Python
Quick apply
Data Scientist II
Scribd, Inc. —Toronto, ON
- $118,000–$123,000 a year
- Full-time
- Computer Science
- Master's degree
- SQL
- Disability insurance
- Dental care
PhD or PostDoc Position in Equitable and Accessible AI
OCAD University —Toronto, ON
- $55,000 a year
- Temporary
- Doctoral degree
- Research
- JavaScript
- Flexible schedule
AI Specialist
CANADA CARTAGE —Mississauga, ON
- Full-time
- Computer Science
- Engineering
- SQL
Quick apply
Research Engineer II
Royal Bank of Canada —Toronto, ON
- Full-time
- Doctoral degree
- Computer Science
- Master's degree

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natural language processing jobs near toronto 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

natural language processing jobs in toronto on

AI Engineer Intelligent Systems & Analytics

AI PRACTITIONER

GenAI & Python Specialist - Operate

Senior Machine Learning Researcher

Data Scientist

Senior Data Scientist II

Freelance Data Scientist, ad hoc

Staff Applied AI Agent Developer

Senior Consultant - AI and Data - Toronto

GEN AI/ML Developer - Mississauga

Staff Data Scientist, (Global Security)

Machine Learning Engineer

Senior Data Scientist

Applied Scientist, Sales AI

Principal Machine Learning Engineer

RQ09508 - Sr. Machine Learning Engineer

Data Scientist II

PhD or PostDoc Position in Equitable and Accessible AI

AI Specialist

Research Engineer II

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