IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 30, 2026

Hiring at a glance

View jobs

Open jobs: 4,347
Employers: 1,953

Advertised starting pay

Average starting payCAD / year: $96,158Across 389 listings
Average starting payCAD / hour: $49.74Across 287 listings
Average starting payUSD / year: $121,177Across 59 listings
Average starting payUSD / hour: $46.76Across 17 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 4%185 listings
Hybrid: 38%1,654 listings
On-site: 57%2,494 listings

Not specified: <1% (14 listings)

Employers hiring include TD (77), S M Software Solutions Inc (64), J&M Group (47).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

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.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Added 2 months ago
KS
Business System Analyst
Kumaran Systems
Toronto, ON
- Full-time
Added 2 months ago
BS
Software Tester (QA/QC)
BIS Safety Software
Sherwood Park, AB
- $60,000 to $70,000 CAD / year
- Full-time
Added 2 months ago
S
Data Analyst - Product & Business Analytics
Stay22
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Added 2 months ago
IA
Machine Learning Engineer
Invision AI
Remote, Canada
- Full-time
- Remote
Added 2 months ago
AM
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Advanced Micro Devices, Inc
ON · ONTARIO-HOME OFFICE, Ontario
- Full-time
Added 2 months ago
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IT Support Technician
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NS
- Full-time
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A
Technology - Senior Solutions Systems Analyst, People Technology
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Vancouver, BC
- $50,000 to $175,000 CAD / year
- Full-time
Added 2 months ago
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Desktop Support Technician
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Burnaby, BC
- Contract
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AI and Data - Data Architect (Databricks)
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Toronto, ON
We are seeking a Manager/ Data Architect for our AI & Data practice team. We are looking for a candidate with strong technical
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Edmonton, AB
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Sr Data Scientist II
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Toronto, ON
- Full-time
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Burnaby, BC
- $90,000 to $130,000 USD / year
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Chef de Projet Technique – Ingénierie Aérospatiale (Intermédiaire)
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Montreal, QC
- Full-time
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Systems Administrator / Infrastructure Engineer
Compugen Inc
Delta, BC
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Montreal, QC
- Full-time
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Data Quality Analyst (Onsite)
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Montreal, QC
- Full-time
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Senior Technical Project Manager - Cybersecurity
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Toronto, ON
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Business Systems Analyst
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Toronto, ON
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Sr. Data Engineer
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Toronto, ON
- Full-time
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Senior Data Engineer
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Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
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DBA Oracle/PostgreSQL
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Ottawa, ON
- Full-time
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Technical Support Analyst - Intern
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Calgary, AB
Added 2 months ago
Technical Support Analyst - Intern
PBS Systems
Calgary, AB
Added 1 month ago
RC
Data Scientist
Rocket Companies
Windsor, ON
- Full-time
As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for…

Invision AI

Machine Learning Engineer

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Aug 28, 2026

Original job description

We are looking for a Machine Learning Engineer to join our Toronto team and help us take our products to the next level in terms of visual intelligence.

Our Company

Invision AI is building a universal AI platform for computer vision applications. Powered by a unique multi-camera stack that generates high-integrity 3D digital twins of dynamic environments, our technology powers disruptive, market-leading solutions in intelligent infrastructure and global Transportation.

The Role

As a Machine Learning Engineer, you will work across the full machine learning lifecycle, from data collection and labeling strategy through training, evaluation, deployment, monitoring, and ongoing improvement.

Your focus will be developing and maintaining computer vision models used in real-world products. While the work may involve researching and implementing new approaches, this is primarily an applied engineering position. We are looking for someone with a track record of building, shipping, and maintaining production ML systems.

The position includes working on projects that expand and strengthen our capabilities in object detection, image classification, geospatial tracking, and sensor fusion, with models deployed to resource-constrained edge devices.

Working within a collaborative team, you will build accurate, efficient, and principled solutions. As a key contributor to the company's next stage of growth, you will help advance our products, solve challenging customer problems, and shape our ML engineering practices in a fast-moving environment.

Location

This is a full-time, hybrid position based in Toronto. You will work from our downtown Toronto office three days per week.

What You'll Do

Recommend, develop, evaluate, and deploy ML models across our product lines
Build and improve data-labeling, training, and evaluation pipelines
Establish evaluation methods that connect model performance to product and business outcomes
Prototype new product capabilities using appropriate technologies
Optimize models for latency, memory usage, power consumption, and accuracy on edge devices
Diagnose and resolve issues affecting deployed models
Monitor production performance and identify model drift, data-quality problems, and retraining needs
Write maintainable, well-tested code and clear technical documentation
Participate in design reviews, code reviews, and technical planning
Share ML knowledge and collaborate with software, product, and other engineering teams

Must Have

A track record of developing and deploying production computer vision models
Strong Python software development skills
Proficiency with frameworks such as PyTorch, TensorFlow and scikit-learn
Practical knowledge of CNNs and modern computer vision architectures
The ability to adapt open-source models to specific products and use cases
Hands-on work optimizing models for resource-constrained or edge environments
Knowledge of experiment tracking, dataset versioning, and ML observability
Skill in designing evaluation metrics that reflect product and business requirements
An understanding of model monitoring and production troubleshooting
Working knowledge of embedded systems and their constraints
Sound software engineering practices, including automated testing, code review, version control, and continuous integration
Strong written and verbal communication skills
Must be legally entitled to work in Canada

Bonus Skills

Familiarity with Docker or other container technologies
C++ development skills
GPU programming or performance-optimization knowledge
Knowledge of model compression techniques, including quantization, pruning, and knowledge distillation
Familiarity with edge inference tools such as ONNX Runtime, TensorRT
Familiarity with traditional, non-ML image-processing techniques
A background in sensor fusion or geospatial data

A Mission that Matters: The opportunity to work on projects that make the world safer and greener

Excellence: A culture of very high technical standards where quality engineering is valued over quick hacks

Technical Challenge: A wide variety of technology and tasks, including web development, distributed and edge computing, ML, real-time processing, and computer vision

Growth Environment: Join an international team where your voice is heard and your impact is visible

Compensation and benefits: Competitive salary package including equity, allowing you to share in the success you help build. Benefits: RRSP Plan, Health and Dental and 4 weeks holiday.

Apply About employer

More about this job

Responsibilities

You will develop, evaluate, and deploy computer vision models across the full machine learning lifecycle for real-world products. Additionally, you will optimize these models for edge devices while maintaining production pipelines and monitoring performance.

Requirements

Candidates must have a proven track record of developing and deploying production computer vision models using Python and frameworks like PyTorch or TensorFlow. Strong software engineering practices and experience with embedded systems or edge environments are essential.

Skills

Python
PyTorch
TensorFlow
Scikit-learn
Computer vision
CNNs
Object detection
Image classification
Geospatial tracking
Sensor fusion
Edge computing
Model optimization
Embedded systems
Machine learning lifecycle
Software engineering
Continuous integration

Benefits

Equity
RRSP Plan
Health Insurance
Dental Insurance
4 weeks holiday

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning Engineer
Computer Vision
Python
PyTorch
TensorFlow
Scikit-learn
CNN
Object Detection
Image Classification
Geospatial Tracking
Sensor Fusion
Edge Devices
Latency Optimization
Model Monitoring
Embedded Systems
Docker
C++
GPU Programming
Quantization
Pruning
Knowledge Distillation
ONNX Runtime
TensorRT
Continuous Integration
Version Control
Automated Testing
Data Labeling
Model Drift
Infrastructure
Transportation

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