IT & data jobs in Canada

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

Counted Sep 26, 2026

Hiring at a glance

View jobs

Open jobs: 2,676
Employers: 1,315

Advertised starting pay

Average starting payCAD / year: $98,111Across 256 listings
Average starting payCAD / hour: $48.91Across 86 listings
Average starting payUSD / year: $117,285Across 53 listings

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

Where work happens

Remote: 5%129 listings
Hybrid: 38%1,022 listings
On-site: 56%1,509 listings

Not specified: 1% (16 listings)

Employers hiring include RBC (52), Royal Bank of Canada (46), 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

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Added 1 month ago
Staff Data Analyst
Stripe
Toronto, ON
Full-time
Added 1 month ago
Sr. Technical Support Analyst
J&M Group
Toronto, ON
Full-time
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Longueuil, QC · Saint-Hubert, QC
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OT Cybersecurity Consultant
Parsons Corporation
Burnaby, BC · Edmonton, AB · Calgary, AB
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Desktop Support Technician
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Markham, ON
Full-time
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Sr. Data Engineer
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Toronto, ON
Full-time
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Sr. Data Engineer Manager
eBay
Toronto, ON
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Master Data Analyst
Mattamy Homes
Canada
Full-time
Added 1 month ago
Data Engineer
eBay
Toronto, ON
Full-time
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Data Analyst
Stripe
Canada
Added 1 month ago
IT Support Specialist
HighlightTA
Remote, Canada
$55,000 to $65,000 CAD / year
Full-time · Remote
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Manager, IT Support
Magnet Forensics
Waterloo, ON
$100,000 to $150,000 CAD / year
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Sr to Principal Machine Learning Engineer, Framework & Performance
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Markham, ON
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Senior Data Engineer, Data Platform & Operations
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Toronto, ON
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Toronto, ON
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Intermediate Data Engineer
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BC · West Vancouver, BC
Full-time
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Milton, ON
Full-time
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Toronto, ON
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Helpdesk Technician
Mortgage Automator
Toronto, ON
$62,000 to $70,000 CAD / year
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Senior Payments Business Systems Analyst (Domserv team)
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Toronto, ON
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Senior Data Engineer
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Halifax, NS
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AWS Data Engineer
Pacer Group
Toronto, ON
$70 to $75 CAD / hour
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Financial Systems Analyst
PCL Construction
Edmonton, AB
Added 19 days ago
Senior Data Modeler, GFT
Royal Bank of Canada
Toronto, ON
Full-time

Tiger Analytics

Machine Learning Engineer (with Vertex AI Experience)

Canada

Job type: Full-time
Posting language: English
Posted: Aug 17, 2026

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Original job description

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

Develop, train, and optimize ML models using Vertex AI, including Vertex Pipelines, AutoML, and custom model training.
Design and build scalable ML pipelines for feature engineering, training, evaluation, and deployment.
Deploy models to production using Vertex AI endpoints and integrate with downstream applications or APIs.
Collaborate with data scientists, data engineers, and MLOps teams to enable reproducible and reliable ML workflows.
Monitor model performance and set up alerting, retraining triggers, and drift detection mechanisms.
Utilize GCP services such as BigQuery, Dataflow, Cloud Functions, Pub/Sub, and GCS in ML workflows.
Apply CI/CD principles to ML models using Vertex AI Pipelines, Cloud Build, and GitOps practices.
Implement model governance, versioning, explainability, and security best practices within Vertex AI.
Document architecture decisions, workflows, and model lifecycle clearly for internal stakeholders.

Requirements

Advanced Generative AI
Advanced RAG including Graph based hybrid retrieval
Multimodal agent
Deep knowledge on ADK , Langchain Agentic Frameworks
Fine tuning and Distillation
Python Expertise
Expert in Python with strong OOP and functional programming skills
Proficient in ML/DL libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, PySpark
Experience with production-grade code, testing, and performance optimization
GCP Cloud Architecture & Services
Proficiency in GCP services such as:
Vertex AI
BigQuery
Cloud Storage
Cloud Run
Cloud Functions
Pub/Sub
Dataproc
Dataflow
Understanding of IAM, VPC
API Development & Integration
Designs and builds RESTful APIs using FastAPI or Flask
Integrates ML models into APIs for real-time inference
Implements authentication, logging, and performance optimization
System Design & Scalability
Designs end-to-end AI systems with scalability and fault tolerance in mind
Hands-on experience in developing distributed systems, microservices, and asynchronous processing

Benefits

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Apply About employer

More about this job

Responsibilities

Design, build, and deploy scalable machine learning solutions using Vertex AI and GCP. Manage the end-to-end ML lifecycle, including pipeline construction, model serving, and performance monitoring.

Requirements

Requires expert-level Python skills and deep knowledge of Generative AI, RAG, and agentic frameworks. Proficiency in GCP architecture and the ability to build production-grade RESTful APIs is essential.

Skills

Vertex AI
Google Cloud Platform
Generative AI
RAG
Python
TensorFlow
PyTorch
Scikit-learn
FastAPI
Flask
MLOps
BigQuery
Langchain
CI/CD
System Design
Distributed Systems

Benefits

Career development opportunities
Entrepreneurial environment

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Vertex AI
GCP
Generative AI
RAG
Graph-based Retrieval
Multimodal Agent
Langchain
Fine tuning
Distillation
Python
OOP
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
PySpark
BigQuery
Dataflow
Cloud Functions
Pub/Sub
Cloud Storage
Cloud Run
Dataproc
FastAPI
Flask
CI/CD
GitOps
Microservices

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