IT & data jobs in Canada

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

Counted Sep 21, 2026

Hiring at a glance

View jobs

Open jobs: 2,617
Employers: 1,276

Advertised starting pay

Average starting payCAD / year: $98,481Across 247 listings
Average starting payCAD / hour: $48.31Across 83 listings
Average starting payUSD / year: $119,163Across 55 listings
Average starting payUSD / hour: $57.29Across 11 listings

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

Where work happens

Remote: 5%125 listings
Hybrid: 39%1,018 listings
On-site: 56%1,454 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (63), Royal Bank of Canada (47), TD (45).

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

Save this search

Added 24 days ago
Machine Learning Engineer
Invision AI
Toronto, ON
Full-time
Added 20 days ago
Short Term 2027 Data Analyst Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
Added 5 months ago
Software Development Manager, AI Builder Tools
MaintainX (An Autodesk Company)
Remote, Canada
Full-time · Remote
Added 20 days ago
SOC - Analyste en cybersécurité niveau 1 / L1 Cyber Security Analyst
SecureOps
Montreal, QC
Full-time
Added 20 days ago
Senior Systems Administrator - Infrastructure & Cloud
Mevotech
Mississauga, ON
Full-time
Added 19 days ago
Service Desk Analyst
Thinkon Inc
North Bay, ON
$55,000 to $59,000 CAD / year
Full-time
Added 19 days ago
Data Engineer
Capco
Toronto, ON
Capco is looking for a Consultant, Data Engineer to join our Technology & Engineering practice in Toronto. This is an exciting opportunity for an analytical professional who enjoys solving…
Added 20 days ago
Junior Database Administrator
Pala Interactive
Toronto, ON
Full-time
Added 19 days ago
Junior Data Analyst Intern/Co-op
Riverside Natural Foods Ltd.
Toronto, ON
Added 20 days ago
Systems Administrator
Driving Force Group of Companies Recruitment Team
Edmonton, AB
Added 24 days ago
Data Analyst
Insight Global
Toronto, ON · North York, ON
$70 to $80 CAD / hour
Contract
…analytics function, supporting multiple business units with data-driven decision-making. This role will focus on developing forecast models, executing market research, conducting analyses,…
Added 1 month ago
Software Development Manager, AWS Payments Experience team
Amazon Web Services (AWS)
Vancouver, BC
Full-time
Added 24 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
Full-time
Senior Data Engineer role to be part of our scrum teams and perform functional system development for Hadoop applications for our Enterprise Data Lake initiative
Added 25 days ago
Data Centre Manager
Qu Data Centres
Calgary, AB
Full-time
…maintain it. At Qu, we run sovereign, in-country infrastructure, data centres, cloud, and managed services, so Canada’s builders and innovators can move fast without trading away control.…
Added 25 days ago
Bilingual Senior Technical Support Analyst
Staples Canada
Richmond Hill, ON
$55,000 to $65,000 USD / year
Full-time
Added 24 days ago
AI & Automation Data Scientist Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire Data Scientist en IA et Automatisation (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Toronto, ON
$68,348.8 to $105,456 CAD / year
Full-time
Added 24 days ago
AI & Automation Data Scientist Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire Data Scientist en IA et Automatisation (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Montreal, QC
$68,348.8 to $105,456 CAD / year
Full-time
Added 24 days ago
Agentic AI / Data Engineer - DC GPU
AMD
Oro-Medonte, ON
$156,000 to $234,000 USD / year
Full-time
Added 19 days ago
Technical Business Analyst
BBGC
Remote, Canada
Remote
Added 20 days ago
Data Scientist
Symbiotic Digital
Toronto, ON · Queen's Park Ontario Provincial Government, Ontario
Contract
We are seeking a Senior Data Scientist to analyze complex
Added 20 days ago
Linux Systems Administrator
STACK IT Recruitment
Vaughan, ON
Full-time
Added 20 days ago
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
Full-time · Remote
Added 20 days ago
Service Desk Analyst
Government of New Brunswick
Fredericton, NB
Full-time
Added 21 days ago
Principal Application Security Engineer
Barracuda Networks Inc.
Ottawa, ON
…protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience.…
Added 20 days ago
GRO - Data Analyst
Manulife
Montreal, QC
Full-time
Step into your future as a Data Analyst - this is your opport

Invision AI

Machine Learning Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Feb 24, 2027
Posting language: English
Posted: Aug 28, 2026

Apply About employer

Applications open in a new tab.

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

Requirements

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

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

Benefits

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

Develop, deploy, and maintain production computer vision models across the full machine learning lifecycle. Optimize models for resource-constrained edge devices and establish evaluation methods to connect performance to business outcomes.

Requirements

Requires a proven track record of deploying production CV models with strong Python skills and proficiency in frameworks like PyTorch or TensorFlow. Candidates must have experience optimizing models for edge environments and applying sound software engineering practices.

Skills

Computer Vision
Python
PyTorch
TensorFlow
Scikit-learn
CNNs
Edge Computing
Model Optimization
Object Detection
Image Classification
Sensor Fusion
Geospatial Tracking
Docker
C++
ONNX Runtime
TensorRT

Benefits

Equity
RRSP Plan
Health Insurance
Dental Insurance
4 Weeks Holiday

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Computer Vision
Python
PyTorch
TensorFlow
Scikit-learn
CNN
Edge Devices
Object Detection
Image Classification
Geospatial Tracking
Sensor Fusion
Docker
C++
GPU Programming
Quantization
Pruning
Knowledge Distillation
ONNX Runtime
TensorRT
Digital Twins
MLOps
CI/CD
Embedded Systems
Model Drift
Data Labeling
Software Engineering
Invision AI
Intelligent Infrastructure
Transportation

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