IT & data jobs in Canada

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

Counted Sep 28, 2026

Hiring at a glance

View jobs

Open jobs: 2,599
Employers: 1,285

Advertised starting pay

Average starting payCAD / year: $98,320Across 255 listings
Average starting payCAD / hour: $49.18Across 82 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%1,000 listings
On-site: 56%1,455 listings

Not specified: 1% (15 listings)

Employers hiring include RBC (51), Royal Bank of Canada (44), TD (42).

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
Technical Project Manager
DataStealth
Mississauga, ON
Full-time
DataStealth is a single, unified AI data security platform (DSP) that discovers, classifies, and protects sensitive data across your entire environment - from on-premise to legacy systems…
Added 1 month ago
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
Full-time
Added 1 month ago
SR. Business Systems Analyst - Finance
IKO North America
Mississauga, ON
Full-time
Added 1 month ago
Data Architect
ICES Central
Toronto, ON
Full-time
ICES is a world-leading health research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and…
Added 1 month ago
Lead Business Systems Analyst
RBC
Toronto, ON
Full-time
…Analysts to join its Retail Credit & Climate Risk technology (Data & AI) team. In this role, you'll be responsible for delivering requirements, functional and non-functional specifications…
Added 20 days ago
Finance Data Analyst
Squarepoint Capital
Montreal, QC
…The individual should have a solid understanding of financial data management and reconciliation, with experience working across finance systems and a confidence in ensuring data is…
Added 2 months ago
Analyste principal(e) de données / Senior Data Analyst
Manmade
Montreal, QC
Full-time
Added 2 months ago
Collaboration & Documentation Systems Administrator
High Tech Genesis
Montreal, QC
Contract
Added 1 month ago
Senior Machine Learning Engineer - Reconstruction
Peripheral
Toronto, ON
Full-time
Peripheral is developing spatial intelligence, starting in live sports and entertainment. Our models generate spatial data, used for advanced sports analytics and immersive media…
Added 1 month ago
Lead Business Systems Analyst
Royal Bank of Canada
Toronto, ON
Full-time
…Analysts to join its Retail Credit & Climate Risk technology (Data & AI) team. In this role, you'll be responsible for delivering requirements, functional and non-functional specifications…
Added 18 days ago
IDD Data & Analytics Specialist
Aecon
Toronto, ON
Added 18 days ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Added 1 month ago
Data Scientist - Hybrid
Pelmorex
Oakville, ON
Full-time
Added 1 month ago
Data Analyst
Adelphi Group
Toronto, ON
Full-time
Are you an avid data analyst looking for an exciting career in the world of media? Are you obsessed with ROI? Do you like optimizing stuff? Look no further than this data and analytics team…
Added 1 month ago
Ingénieur Data / Data Engineer
mthree Recruiting Portal
Montreal, QC
Nous recherchons une personne pour rejoindre une équipe dynamique en tant qu’Ingénieur(e) Data pour l’un de nos clients. Ce poste est destiné à un rôle d’ingénierie des données au sein de…
Added 2 months ago
Machine Learning Engineer - EA Sports FC
EA SPORTS
Vancouver, BC
Full-time
Added 2 months ago
Software Engineering Manager
MoneyWay Financial Group
North Vancouver, BC
Full-time
Added 2 months ago
Lead Azure Data Engineer (contract)
Capgemini
Brampton, ON
Contract
Design, develop, and maintain scalable and efficient data pipeline architectures using Azure Data Factory (ADF).
Added 2 months ago
Senior Data Scientist
J&M Group
Toronto, ON
Full-time
We are looking for an experienced Senior Data Scientist to deliver enterprise AI and machine learning solutions from exploration to production. The ideal candidate has strong expertise in…
Added 2 months ago
Principal Data Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
$210,000 to $270,000 USD / year
Full-time · Remote
Added 2 months ago
Senior Data Engineer
AppDirect
Montreal, QC
Full-time
Added 28 days ago
Senior Machine Learning Engineer
Remitly
Burnaby, BC
Full-time
Added 1 month ago
Technical Support Analyst
Achievers
Toronto, ON
Full-time
Added 1 month ago
Senior Application Security Engineer
TripleLift
Toronto, ON
…through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their…
Added 20 days ago
Bilingual Technical Support Representative
Recrute Action
Markham, ON
Contract

exacare ai

Machine Learning Engineer

Canada

Job type: Full-time
Experience: Proven experience (3+ years) in building, training, and deploying machine learning models in a production environment.
Posting language: English
Posted: Jul 24, 2026

Apply About employer

Applications open in a new tab.

Original job description

Company Overview

Exacare ai is a leading health tech company on a mission to build the AI operating system for post-acute care. Our platform turns messy, unstructured referral packets into clear clinical insights and next steps, so teams can make faster, safer placement decisions with less administrative burden. Today, exacare ai powers more than 2,000 facilities, and is growing rapidly.

We recently raised a $30M Series A led by Insight Partners, and are bringing world-class talent together to transform healthcare. If you like building, learning, and want to make a real impact, come join us!

About the Role

We are seeking a highly adaptable, creative, and well-rounded Machine Learning Engineer to join our team. You will own the end-to-end ML lifecycle, from dataset creation and foundational research to building and deploying production-grade models. If you thrive in an environment where you can quickly iterate, experiment with cutting-edge techniques, and see your work make a tangible impact, this is the role for you.

What You'll Do

Novel Solution Development: Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems.
Rapid Prototyping & Iteration: Build and manage efficient pipelines for rapid experimentation and hypothesis testing.
Experiment Tracking: Methodically design, execute, and track all experiments, including hyperparameter searches, architecture changes, and data variations, using tools like MLflow or Weights & Biases.
Model Deployment: Deploy models into production environments using CI/CD practices and model serving frameworks.
Performance Monitoring: Implement and maintain robust monitoring systems to track model performance, detect drift, and ensure reliability and scalability.
Advanced Model Optimization: Apply modern techniques to optimize models for inference speed, memory footprint, and cost. This includes quantization, pruning, and knowledge distillation
Data Lifecycle Management: Lead efforts in dataset creation, augmentation, and curation to build high-quality, robust training data.
Advanced Architectures: Stay current with and apply state-of-the-art techniques, especially relating to Large Language Models (LLMs)

What You'll Bring

Proven experience (3+ years) in building, training, and deploying machine learning models in a production environment.
Expert-level proficiency in Python
Experience with modern deep learning frameworks, such as PyTorch.
Demonstrable experience with systematic hyperparameter searching and optimization frameworks (e.g., Optuna, Ray Tune).
Exceptional organizational skills, with a strong emphasis on reproducible research and methodical experiment tracking.
Direct experience with LLMs, including fine-tuning, prompt engineering, RAG, and efficient inference.
Practical experience implementing model optimization techniques like quantization (e.g., bitsandbytes) and pruning
Experience in designing and curating novel datasets from scratch.
Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.

Bonus Points (Preferred Qualifications):

Familiarity with advanced model architectures like Transformers and Mixtures of Experts (MoE).
Contributions to open-source ML projects or a portfolio of personal projects demonstrating a passion for the field.
Strong, hands-on understanding of the MLOps lifecycle and associated tools (e.g., Docker, Kubernetes, MLflow, Kubeflow, Prometheus).

An insight into our Core Values

Only the best belong here

We are unapologetic about talent. This should be the best team you have ever been on. Protecting that standard is how we honor each other’s time, ambition, and craft.

We work even harder to keep our partners than we did to earn them initially

The work does not stop when a customer first onboards to our platform. It deepens over time. We partner with operators, listening and learning about real problems, and translate that into solutions that help them succeed in practice. We earn trust through consistent delivery.

We keep the patient downstream of every decision

At the end of the day, this is about the patient. We get there by deeply respecting and reflecting on our purpose: to develop software that aids teams in delivering better care.

Raise the bar on ownership

We grow because people here go beyond the minimum. We invest extra effort, care, and ownership into what we build.

The world is moving fast. We move faster.

This is a race. We work hard, we move early, and we stay ahead of problems and competitors. If we slow down, someone else will pass us.

Radical candor, zero politics

We say what’s true, early, and we keep communication direct and clean so the team can move.

Bring good vibes and win together

We win as a team. We bring energy, support each other, and make the workplace somewhere people are excited to show up.

If this sounds like you, we'd love to have a chat!

Apply About employer

More about this job

Responsibilities

The role involves owning the end-to-end ML lifecycle, from dataset creation and research to deploying production-grade models. Key tasks include developing novel ML solutions, managing experiment tracking, and optimizing models for inference speed and cost.

Requirements

Candidates need 3+ years of experience in production ML, expert Python skills, and proficiency with PyTorch and LLMs. A Bachelor's or Master's degree in Computer Science, AI, or a related technical field is required.

Skills

Python
PyTorch
Large Language Models
Fine-tuning
Prompt Engineering
RAG
Model Quantization
MLOps
Dataset Curation
Hyperparameter Optimization
CI/CD
Model Monitoring

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
LLM
PyTorch
Python
MLflow
Weights & Biases
Optuna
Ray Tune
Quantization
Pruning
Knowledge Distillation
RAG
Transformers
Mixtures of Experts
Docker
Kubernetes
Kubeflow
Prometheus
CI/CD
MLOps
Health Tech
Post-acute Care
Deep Learning
Inference Optimization
Dataset Augmentation

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