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: 2,717
Employers: 1,325

Advertised starting pay

Average starting payCAD / year: $99,406Across 257 listings
Average starting payCAD / hour: $48.77Across 85 listings
Average starting payUSD / year: $116,742Across 56 listings

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

Where work happens

Remote: 5%128 listings
Hybrid: 38%1,037 listings
On-site: 56%1,532 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (54), Royal Bank of Canada (48), TD (46).

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 min ago
Data Scientist
RBC
Toronto, ON
Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 1 min ago
2027 CFO, Winter Data Engineer (8 months)
RBC
Toronto, ON
Full-time
…solutions and web-based applications by leveraging RBC’s big data assets. This role will work with various stakeholders in helping to identify business problems and prioritize them to…
Added 15 mins ago
Data Engineer
Experis Canada
Montreal, QC
Contract
5 years of experience in Analytics Engineering Data Engineering Business Intelligence
Added 15 mins ago
Service Desk Analyst 2
Compugen Inc
Calgary, AB
Full-time
Added 16 mins ago
Research Machine Learning Scientist II
TD
Toronto, ON
Full-time
Added 16 mins ago
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
Full-time · Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 16 mins ago
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
Full-time · Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 16 mins ago
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
Full-time · Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 31 mins ago
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and operations office, you will design, implement, and support enterprise data architecture…
Added 43 mins ago
Data Engineer II - CPB Data Curation
TD
Toronto, ON
Full-time
Added 43 mins ago
Product Cybersecurity Specialist-EN
CAE
Montreal, QC
Full-time
Added 43 mins ago
IT support Technician
Quantum World Technologies Inc.
Mirabel, QC
Full-time
Added 45 mins ago
Technical Support Engineer
Quantum World Technologies Inc.
Mirabel, QC
Full-time
Added 45 mins ago
Business System Analyst- Actimize
Pacer Group
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
Added 45 mins ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
Contract
AWS Data Engineer – Banking / Financial Services
Added 46 mins ago
Strategic Data Analyst, College of Arts and Science
University of Saskatchewan
Saskatoon, SK
Primary Purpose: The Strategic Data Analyst will assist with reporting and analysis of strategic initiatives, collegial processes, and special projects in support of the College of Arts and…
Added 1 hour ago
IT Support Specialist
Knix
Toronto, ON
Full-time
Added 1 hour ago
Data Engineer II - CPB Data Curation
TD
Toronto, ON
Full-time
Added 1 hour ago
Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 hour ago
Senior Data Scientist - Fraud Detection
DataVisor
Calgary, AB
$120,000 to $150,000 CAD / year
Full-time
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 hour ago
Senior Data Scientist - Fraud Detection
DataVisor
Vancouver, BC
$120,000 to $150,000 CAD / year
Full-time
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 hour ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
Added 1 hour ago
Student Systems Administrator
Magna International
Vaughan, ON
Full-time
Added 1 hour ago
Data Analyst, Product Insights - New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. The New Grad Data Analyst will uncover insights to guide product strategy and improve user outcomes by exploring behavioral data, customer…
Added 1 hour ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
…will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model quality and reliability, and improve ML development…

Copoly.ai

Machine Learning Engineer

Canada

Pay: $90,000 to $115,000 CAD / year
Job type: Full-time
Experience: Industry Experience: 1–5 years of relevant experience (inclusive of post-doctoral work)
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

About the role

At Copoly.ai, we are a dynamic biotech and AI company driving innovation by working on our own proprietary products and developing specialized solutions for our clients in pharma, biotech, and beyond. We are transforming the future of early cancer detection through AI-powered diagnostic solutions. Our flagship product, OncoSage, leverages RNA sequencing and proprietary machine learning algorithms to deliver accurate, blood-based cancer detection. We are committed to advancing the field of oncology through cutting-edge technology, improving patient outcomes, and detecting cancer at its earliest stages. Join us in our mission to make revolutionary strides in healthcare technology.

About the Job

We are looking for a highly motivated and skilled AI/ML Scientist to join our project team at Copoly. This role involves working with one of our pharma clients and is dedicated to transforming drug discovery by designing, developing, training, and deploying new engines for lab-in-the-loop molecular design and optimization. This work spans sequence, structure, conformational ensembles, and molecular property prediction, and architectural innovation from natural language, computer vision, and robotics. The successful candidate will work in a multidisciplinary environment alongside ML scientists, ML engineers, and drug designers at the research frontier.

Key Responsibilities

Model Development & Deployment: Design, optimize, evaluate, and deploy cutting-edge deep learning models (e.g., large language models, multi-modal transformers, generative models) and data pipelines.
Scaling & Infrastructure: Optimize and scale training and inference for performance and accuracy using multi-GPU and cloud infrastructure.
MLOps & Maintenance: Implement and manage MLOps workflows, including model deployment, version control, and performance monitoring to ensure robustness and reproducibility.
Multi-modal Data Integration: Develop algorithms to understand associations between diverse datasets, including omics (genomics, transcriptomics), imaging, and clinical data.
Scientific Collaboration: Collaborate with cross-functional teams to translate novel machine learning methods into impactful applications for disease understanding and clinical decision-making.

What we are looking for

Education: B.S., Master’s or PhD in Computer Science, Machine Learning, Computational Biology, Data Science, Statistics, Mathematics, or a related quantitative field.
Industry Experience: 1–5 years of relevant experience (inclusive of post-doctoral work)

Technical Skills

Software Engineering: Strong foundations in data structures, algorithms, and software engineering principles.
Programming: Expert-level proficiency in Python and extensive experience with deep learning frameworks such as PyTorch (preferred), JAX, or TensorFlow. An idea of how to debug that goes beyond pointing a coding agent at the problem.
Modeling & Infrastructure: Experience with large-scale distributed training (e.g., DDP, Ray, FSDP, DeepSpeed) and model deployment tools (e.g., Triton, ONNX).
AI/ML Specialization: Hands-on experience with geometric deep learning, cofolding models, or neural force fields is highly preferred.

Soft Skills & Professional Attributes

Problem Solving: Proven ability to take full ownership of technical challenges and proactively drive solutions from start to finish.
Communication: Strong technical communication skills with the ability to articulate complex concepts to both technical and non-technical audiences.
Domain Knowledge: Prior experience in drug discovery, genomics, or medical imaging is a plus but not required.

Compensation: CAD $90,000–$115,000 annually, commensurate with experience and qualifications.

Apply About employer

More about this job

Responsibilities

Design, train, evaluate, optimize, and deploy deep learning models and data pipelines for lab-in-the-loop molecular design and optimization. Scale training and inference, maintain MLOps workflows, integrate multimodal biological and clinical data, and collaborate with multidisciplinary teams to apply machine learning to drug discovery and disease understanding.

Requirements

A bachelor's, master's, or PhD in a quantitative field and 1–5 years of relevant experience are requested. Candidates should have strong software engineering foundations, expert Python skills, experience with deep learning frameworks and distributed training, and preferably experience with geometric deep learning, cofolding models, or neural force fields.

Skills

Python
PyTorch
JAX
TensorFlow
Deep Learning
Distributed Training
Model Deployment
MLOps
Multi-GPU Computing
Cloud Infrastructure
Geometric Deep Learning
Cofolding Models
Neural Force Fields
Data Pipelines
Multimodal Data Integration
Drug Discovery

Visa sponsorship

Not detected in the job text

Keywords

Python
PyTorch
JAX
TensorFlow
Large Language Models
Multimodal Transformers
Generative Models
Deep Learning
Distributed Training
DDP
Ray
FSDP
DeepSpeed
Triton
ONNX
MLOps
Multi-GPU Computing
Cloud Infrastructure
Geometric Deep Learning
Cofolding Models
Neural Force Fields
Molecular Design
Drug Discovery
Genomics
Transcriptomics
Medical Imaging
Omics
Clinical Data
Model Deployment
Data Pipelines

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