IT & data jobs in Canada

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

Counted Sep 23, 2026

Hiring at a glance

View jobs

Open jobs: 2,643
Employers: 1,288

Advertised starting pay

Average starting payCAD / year: $99,040Across 248 listings
Average starting payCAD / hour: $47.75Across 79 listings
Average starting payUSD / year: $117,708Across 55 listings
Average starting payUSD / hour: $55.50Across 10 listings

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

Where work happens

Remote: 5%124 listings
Hybrid: 38%1,017 listings
On-site: 56%1,482 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (55), Royal Bank of Canada (45), 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 23 days ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 22 days ago
Senior Data Engineer, GFT
RBC
Toronto, ON
Full-time
Added 22 days ago
Lead Data Engineer
RBC
Toronto, ON
Full-time
Added 20 days ago
Associate Director - Lead Data Modeler/Analyst
RBC
Toronto, ON
Full-time
The Trading & Execution Services (TES) Data Services team within Capital Markets Technology has elevated data to first-class citizen status, providing strategic solutions for the capture,…
Added 13 days ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
This is an opportunity to work at RBC Wealth Management Technology Data team with a group of technology professionals dedicated to delivering transformative ML solutions to Wealth business…
Added 20 days ago
Data Scientist, AI Model Risk
RBC
Toronto, ON
Full-time
Added 18 days ago
Junior Technical Support Analyst
BBGC
Remote, Canada
Remote
Added 20 days ago
Senior Applied Machine Learning Scientist, Predictive AI(B3617)
TD
Toronto, ON · Montreal, QC
Full-time
Added 20 days ago
System Administrator
Eastlink
Halifax, NS
Added 22 days ago
Senior Business System Analyst
BMO
Toronto, ON · SCC
Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by providing enterprise-scale solutions using data, analytics, and…
Added 20 days ago
Director of Software Engineering
MCAP
Waterloo, ON
$130,000 to $140,000 CAD / year
Full-time
Added 22 days ago
Technical Project Manager (TPM)
MedMe Health
Remote, Canada
$90,000 to $115,000 USD / year
Full-time · Remote
Added 20 days ago
D365 Business Systems Analyst
Hays
Montreal, QC · Greater Montreal Metropolitan Area
$100,000 to $130,000 CAD / year
Full-time
Added 20 days ago
Machine Learning Data Engineer
kadence
Montreal, QC
Full-time
Rather than maintaining established pipelines, you’ll be helping develop new approaches to training-data engineering and curation where established playbooks often do not yet exist.
Added 20 days ago
Staff Data Engineer
MaintainX
Montreal, QC
Full-time
Added 20 days ago
Staff Data Engineer
MaintainX
Toronto, ON
Full-time
Added 26 days ago
Data Systems Analyst
Government of Nunavut
Baker Lake, NU
Full-time
Added 21 days ago
Senior Business Systems Analyst, ServiceNow CSM - EN 125
Export Development Canada | Exportation et développement Canada
Toronto, ON
$96,557 to $128,743 CAD / year
Full-time
Added 1 month ago
IT Support Technician
Waste Solutions Canada
London, ON
Full-time
Added 20 days ago
Senior Cyber Security Analyst
QuadReal Property Group
Vancouver, BC
Full-time
Added 2 months ago
Senior Business Systems Analyst
Waterplay Solutions Corp
Kelowna, BC
$90,000 to $120,000 CAD / year
Full-time
Added 19 days ago
Data Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly…
Added 19 days ago
Data Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly…
Added 21 days ago
Senior Business Systems Analyst, ServiceNow CSM - EN 125
Export Development Canada | Exportation et développement Canada
Ottawa, ON
$96,557 to $128,743 CAD / year
Full-time
Added 21 days ago
IT Support Specialist
LuxeTech Inc.
Markham, ON
$22 to $25 CAD / hour
Contract

kadence

Machine Learning Data Engineer

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 2, 2026
Experience: 5+ years of experience across machine learning engineering, data processing, NLP, data infrastructure or related areas.
Posting language: English
Posted: Sep 2, 2026

Apply About employer

Applications open in a new tab.

Original job description

Senior Machine Learning Data Engineer

Location: Canada

The Opportunity

This is an opportunity to work alongside a highly accomplished AI research team tackling fundamental problems in advanced machine learning.

Rather than maintaining established pipelines, you’ll be helping develop new approaches to training-data engineering and curation where established playbooks often do not yet exist.

The organization is building a substantial technical team in Montreal, and we are hiring multiple people across this area.

If you’ve worked on LLM training data, large-scale NLP pipelines, foundation-model infrastructure or web-scale data processing, I’d be interested in speaking with you.

We’re working with an ambitious AI research organization building next-generation machine learning systems and are looking for multiple Senior Machine Learning Data Engineers to join its growing technical team.

This role sits at the intersection of data engineering, machine learning, NLP, and large-scale training data curation.

You’ll be responsible for building and scaling the infrastructure that transforms raw, web-scale data into high-quality datasets used to train advanced AI models.

The core challenge is engineering data quality at enormous scale: developing filtering systems, model-based quality scoring, dataset transformations, contamination detection, and tooling that allows researchers to understand and work with training corpora effectively.

What You’ll Work On

Design, build and scale pipelines that transform raw web-scale data into high-quality datasets for training large machine learning models.
Process extremely large unstructured text corpora, including datasets at trillion-token scale.
Build sophisticated data-processing systems covering: Deduplication, Model-based quality scoring, Heuristic filtering, Toxicity and content-safety filtering, PII detection and removal, Metadata extraction, Dataset transformations, Versioning and provenance tracking
Develop automated data-quality systems using a combination of heuristics, ML classifiers, LLM-based evaluators and human-in-the-loop workflows.
Build monitoring and guardrails to identify data-quality regressions before they impact downstream model training.
Work closely with AI researchers to understand evolving training-data requirements and identify gaps within existing datasets.
Design robust evaluation contamination and data-leakage detection systems.
Build internal tools that allow researchers to easily explore, query and understand large datasets.
Optimize large-scale distributed processing systems for throughput, reliability and infrastructure cost.

What We’re Looking For

5+ years of experience across machine learning engineering, data processing, NLP, data infrastructure or related areas.
Experience working with very large unstructured text datasets, ideally at web or foundation-model scale.
Strong production-level Python.
Hands-on experience with distributed data-processing technologies such as: Spark, Ray, Flink
Experience designing and optimizing high-throughput distributed pipelines.
Experience with areas such as: PII scrubbing, Content-safety filtering, Dataset quality, Evaluation contamination, Training-data governance
Experience with workflow orchestration frameworks such as Airflow, Prefect or Dagster.
Ability to work closely with both research and engineering teams and translate research requirements into scalable infrastructure.

Particularly Relevant Experience

We’d be especially interested in people who have worked on:

Pretraining or post-training data pipelines for LLMs
Foundation-model training infrastructure
Web-scale text processing
Common Crawl or comparable large-scale datasets
Dataset curation for large language models
LLM-based data-quality evaluation
ML classifiers for filtering or scoring training data
Large-scale data acquisition
Dataset deduplication and contamination detection
Distributed ML/data infrastructure

Experience with vLLM, SGLang, Docker, Kubernetes, infrastructure-as-code, experiment tracking or open-source NLP/data tooling would also be valuable.

Apply About employer

More about this job

Responsibilities

Design and scale infrastructure to transform raw, web-scale unstructured text into high-quality datasets for training advanced AI models. Develop automated data-quality systems, filtering mechanisms, and internal tools to support AI researchers.

Requirements

Requires 5+ years of experience in machine learning engineering or data infrastructure with strong production-level Python skills. Must have hands-on experience with distributed processing technologies like Spark or Ray and working with large-scale unstructured text datasets.

Skills

Python
Spark
Ray
Flink
NLP
LLM Training Data
Distributed Data Processing
Airflow
Prefect
Dagster
Data Curation
Kubernetes
Docker
vLLM
SGLang
Data Pipeline Design

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Engineering
NLP
LLM
Foundation Models
Web-scale Data
Deduplication
PII Detection
Content-safety Filtering
Common Crawl
Data Leakage Detection
Distributed Systems
Infrastructure-as-code
Experiment Tracking
Data Governance
Trillion-token Scale
Heuristic Filtering
Model-based Quality Scoring
vLLM
SGLang
Docker
Kubernetes
Airflow
Prefect
Dagster
Spark
Ray
Flink
Python
Data Pipelines

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