IT & data jobs in Canada

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

Counted Oct 3, 2026

Hiring at a glance

View jobs

Open jobs: 2,537
Employers: 1,316

Advertised starting pay

Average starting payCAD / year: $97,309Across 249 listings
Average starting payCAD / hour: $50.62Across 81 listings
Average starting payUSD / year: $117,865Across 51 listings

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

Where work happens

Remote: 5%129 listings
Hybrid: 40%1,004 listings
On-site: 55%1,396 listings

Not specified: <1% (8 listings)

Employers hiring include TD (39), J&M Group (38), Amazon (35).

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 3 months ago
BT
Tier 1 - Technical Support Representative
Beanfield Technologies Inc.
Toronto, ON · Montreal, QC
- $23 to $25 CAD / hour
- Contract
Added 2 months ago
S
Lead Machine Learning Engineer
Saris
Remote, Canada
- Full-time
- Remote
Added 1 month ago
Technical Business Analyst (Market Risk)
Scotiabank
Toronto, ON
Added 2 months ago
M
Systems Analyst – Children and Family Services
MNA
Edmonton, AB
- Full-time
…enhancing the Children and Family Services (CFS) Department data management and systems processes to best serve Métis Albertans. The Systems Analyst will ensure new software…
Added 2 months ago
G
Testeur(euse) logiciel / Software Tester - Digital Information
Genetec
Remote, Canada
- Full-time
- Remote
Added 2 months ago
T
Senior Data Engineer
Trackforce
Montreal, QC
- Full-time
Added 1 month ago
T
Systems Administrator
Techo-Bloc
Longueuil, QC · Saint-Hubert, Quebec
- Full-time
Added 2 months ago
TI
Senior Data Analyst
Teranet Inc.
Toronto, ON
- $106,040 to $114,400 CAD / year
- Full-time
…commercial registries. We also market insightful property and data solutions, as well as practice management automation to thousands of customers in the real estate, financial services,…
Added 21 days ago
S
Senior Business System Analyst
Swoon
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Added 21 days ago
C
Technical Project Manager (Senior)
CGI
Halifax, NS
- Full-time
We are seeking a Senior Technical Project Manager to lead complex technology and data initiatives within a financial services environment. This role requires strong project leadership,…
Added 21 days ago
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Business Information Management Analyst II (Data Scientist II)
TekStaff IT Solutions
Toronto, ON
- Contract
TekStaff's Client has a current vacancy for a Business Information Management Analyst II (Data Scientist II)
Added 21 days ago
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Data Analyst, Power BI
SYSTRA
Montreal, QC
- Full-time
Added 21 days ago
SC
Data Analyst, Power BI
SYSTRA Canada
Montreal, QC
- Full-time
Added 1 month ago
OT Cybersecurity Manager
Alstom
Saint-Bruno, QC
Added 4 months ago
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Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
- Full-time
Added 2 months ago
AL
Senior Machine Learning Scientist (CA)
Altis Labs
Toronto, ON
- $175,000 to $300,000 CAD / year
- Full-time
…patient-level outcome predictions directly from routine medical imaging data. Our global biopharma customers use IPRO to predict efficacy, navigate billion-dollar development decisions with…
Added 2 months ago
RT
Business Systems Analyst
Raising The Village
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 1 month ago
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Lead Data Engineer
Nasdaq
Toronto, ON
- Full-time
As a Lead Data Engineer reporting to the Senior Director of Data Engineering, you'll play a critical role in designing, building, and scaling the data infrastructure that powers one of the…
Added 2 months ago
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Manufacturing Systems Analyst
Magna International
Guelph, ON
- Full-time
Added 28 days ago
Senior Financial Data Analyst (Manager)
Lyft
Toronto, ON
Lyft is hiring a Senior Financial Data Analyst to lead the Reporting sub-team within Finance Data & Insights, including people management of a small team of analysts. This sub-team is core…
Added 1 month ago
Data Analyst - Burnaby, BC
Specsavers
Burnaby, BC
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Toronto, ON
- Full-time
…Moneris’ business-critical payments services across on-premises data centers and…
Added 1 month ago
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Technical Business Analyst – HRIS Workday (Hybrid)
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Montreal, QC
- Full-time
We’re seeking someone to join our team as a Business Analyst to lead the definition and delivery of HR data capabilities that enable trusted workforce insights, scalable data products, and…
Added 21 days ago
PG
Databricks Data Engineer
Pacer Group
Toronto, ON
- $57 to $59 CAD / hour
- Contract
12+ years of experience in Data Engineering, Data Architecture, or large-scale distributed data systems.
Added 21 days ago
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Pacer Group
Toronto, ON
- $60 to $67 CAD / hour
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Proficiency in Apache Kafka for real-time data streaming and integration.

Altis Labs

Senior Machine Learning Scientist (CA)

Toronto, ON, Canada

$175,000 to $300,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $175,000 to $300,000 CAD / year
Job type: Full-time
Experience: 7+ years of experience in machine learning, with substantial work in computer vision or medical imaging
Posting language: English
Posted: Jul 21, 2026

Original job description

What We Do

We build AI models to enable smaller, faster, and more successful clinical trials.

About Altis Labs

Altis Labs is a computational imaging company focused on improving how oncology trials measure treatment benefit. Our core technology is IPRO, an AI model that generates patient-level outcome predictions directly from routine medical imaging data. Our global biopharma customers use IPRO to predict efficacy, navigate billion-dollar development decisions with confidence, and move their most promising therapies through Phase I–III trials faster. IPRO is trained on the industry’s largest real-world imaging, clinical, and outcomes database, containing over 210 million longitudinal images and more than one million patient-years of linked outcomes.

Our multidisciplinary team of AI scientists, clinicians, and business operators is on a mission to get the most effective treatments to patients sooner. We collaborate closely with academic medical centers and co-publish our results at top-tier medical conferences.

Altis is headquartered in Toronto, serves 6 of the top 20 global biopharmaceutical companies, and is backed by leading life sciences and technology investors.

What makes this role compelling:

Unusually rich data: Access to large, diverse patient datasets with longitudinal outcomes across multiple cancer types
Novel methodology: We're developing approaches that push beyond standard practices in medical imaging AI
Multi-cancer generalization: Building methods that transfer across cancer types, not one-off solutions

Responsibilities & Expectations:

Design and implement deep learning architectures for 3D volumetric medical imaging (CT, PET, MRI)
Develop survival models that handle censored outcomes, competing risks, and the statistical nuances of time-to-event prediction
Optimize training pipelines to efficiently process large-scale imaging datasets on cloud GPU infrastructure
Collaborate with our ML team to establish best practices and push the state of the art
Contribute to research publications and present findings at conferences

Qualifications:

7+ years of experience in machine learning, with substantial work in computer vision or medical imaging
PhD in machine learning, computer vision, statistics, or a related field preferred; exceptional industry track record considered
Deep expertise in 3D vision - experience with volumetric architectures (3D CNNs, Vision Transformers for 3D data, etc.)
Strong foundation in survival analysis and time-to-event modeling (Cox models, deep survival models, competing risks)
Proven ability to train large models efficiently at scale - you understand distributed training, memory optimization, and what it takes to iterate quickly on big data
Proficiency with PyTorch and modern ML infrastructure
Track record of impactful research (publications, deployed systems, or equivalent demonstrations of technical depth)

Nice to have:

Experience with medical imaging foundation models or self-supervised learning on unlabeled imaging data
Background in uncertainty quantification: calibrated predictions, conformal prediction, Bayesian deep learning
MLOps experience: productionizing models, CI/CD for ML, model monitoring
Familiarity with oncology, radiology, or regulated healthcare environments

Benefits:

Competitive pay and generous equity participation
Coverage for medical, vision, and dental insurance
4 weeks of vacation per year

Apply About employer

More about this job

Responsibilities

Design and implement deep learning architectures for 3D volumetric medical imaging and develop survival models for time-to-event prediction. Optimize large-scale training pipelines on cloud GPU infrastructure and contribute to research publications.

Requirements

Requires 7+ years of experience in machine learning with deep expertise in 3D vision and survival analysis. A PhD in a related field is preferred, along with proficiency in PyTorch and a track record of impactful research.

Skills

Deep Learning
3D Computer Vision
Medical Imaging
Survival Analysis
PyTorch
Time-to-Event Modeling
Distributed Training
Memory Optimization
Cloud GPU Infrastructure
3D CNNs
Vision Transformers
Cox Models
Self-Supervised Learning
Uncertainty Quantification
MLOps
Oncology

Benefits

Competitive Pay
Equity Participation
Medical Insurance
Vision Insurance
Dental Insurance
4 Weeks Vacation Per Year

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Computer Vision
Medical Imaging
Oncology
3D CNNs
Vision Transformers
PyTorch
Survival Analysis
Cox Models
Deep Survival Models
Distributed Training
Cloud GPU
MLOps
CI/CD
Self-Supervised Learning
Bayesian Deep Learning
Conformal Prediction
CT
PET
MRI
Volumetric Data
Healthcare AI
Biopharma
Clinical Trials
IPRO

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