Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

203,131 listings · 25,888 employers Counted Oct 9, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (4,923 listings), Loblaw Companies Limited (1,883 listings), Starbucks Coffee Company (1,631 listings).

Common roles: Project manager, Sales representative, Store manager.

28,945 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.45	13,287
CAD / year	80,000.00	12,955
USD / year	95,500.00	1,055
USD / hour	20.00	417
CAD / month	4,877.00	254
CAD / week	1,445.00	32
CAD / day	425.00	17
GBP / hour	35.00	15
GBP / year	40,000.00	14

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.

Workplace classifications: 2% remote, 17% hybrid, 81% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Added 8 hours ago
E
store manager - retail
Esso
Valleyview, AB
- Full-time
Added 8 hours ago
MD
JUNIOR FACILITATOR
Municipal District of Greenview No. 16
Valleyview, AB
- Full-time
Added 8 hours ago
LP
food counter attendant
Lethbridge Polytechnic
Lethbridge, AB
- Full-time
Added 8 hours ago
AH
Dietitian I
Alberta Health Services
High Level, AB
- Full-time
Added 8 hours ago
AH
EEG Technologist II
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
Added 8 hours ago
AH
Physiotherapist I
Alberta Health Services
Calgary, AB
- Full-time
Added 8 hours ago
AH
Registered Nurse
Alberta Health Services
Grimshaw, AB
- Full-time
Added 8 hours ago
AH
Biomedical Equipment Technologist II
Alberta Health Services
St. Paul, AB
- Full-time
Added 8 hours ago
AH
Strategist
Alberta Health Services
Calgary, AB
- Full-time
Added 8 hours ago
AH
Registered Nurse
Alberta Health Services
High Prairie, AB
- Full-time
Added 8 hours ago
AH
Registered Nurse
Alberta Health Services
Redwater, AB
- Full-time
Added 8 hours ago
AH
Nurse Practitioner
Alberta Health Services
Red Deer, AB
- Full-time
Added 8 hours ago
MM
Quality Manager
Modine Manufacturing Company
Calgary, AB
- Full-time
Added 8 hours ago
AH
Biomedical Equipment Technologist II
Alberta Health Services
St. Paul, AB
- Full-time
Added 8 hours ago
AH
Physiotherapist I
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
Added 8 hours ago
AH
Medical Radiation Technologist II
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
Added 8 hours ago
SA
Business Analyst (Junior)
Sarmaya AI
ON · Ontario, Canada
- Full-time
Added 8 hours ago
AH
Licensed Practical Nurse
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
Added 8 hours ago
IH
Medical Office Assistant
Infinity Health
Calgary, AB
- Full-time
Added 8 hours ago
P
Stage/Floor Manager (Contractor)
PWHL
Hamilton, ON
- Full-time
Added 8 hours ago
AH
Registered Nurse - Continuing Care
Alberta Health Services
AB · Greater Edmonton Metropolitan Area
- Full-time
Added 8 hours ago
AH
Primary Care Paramedic - Interfacility
Alberta Health Services
AB · Greater Edmonton Metropolitan Area
- Full-time
Added 8 hours ago
PC
Risk Modelling Services, Actuarial P&C Director (Bilingual FR/EN)
PwC Canada
Toronto, ON
- Full-time
Added 8 hours ago
TS
Housing Specialist
The Salvation Army in Canada
Newmarket, ON
- Full-time
Added 8 hours ago
P
In-Arena DJ (Contractor)
PWHL
Hamilton, ON
- Full-time

Senstar

Machine Learning Developer

Waterloo, ON, N2L 0C7, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 8, 2026

Original job description

Senstar is looking for a Machine Learning Developer to help bring machine learning from research into real-world applications on embedded edge platforms.

This is an opportunity for an early-career developer who enjoys working with machine learning, software development, automation, and embedded technologies. You'll work closely with an experienced ML researcher, helping build the tools, processes, and workflows that support everything from data collection and model training to optimization and deployment.

The role focuses on making machine learning development more efficient, reproducible, and reliable, while providing opportunities to develop hands-on experience with model optimization and deployment on constrained hardware.

Responsibilities

Build and maintain workflows for data collection, labeling, curation, and dataset versioning.
Develop and improve annotation workflows for video, time-series, and other sensor data using tools such as Label Studio.
Create reproducible training, validation, and testing datasets, maintaining traceability between data, experiments, and model versions.
Automate model training, evaluation, regression testing, and packaging.
Develop tools and processes that improve the efficiency and reliability of machine learning development.
Collaborate with an experienced ML researcher on model training, evaluation, calibration, and optimization.
Support the optimization and deployment of machine learning models to Texas Instruments embedded platforms, including TIDL and related edge inference runtimes.
Analyze and improve inference performance, including latency, memory usage, accelerator utilization, and model accuracy.
Develop Python and C++ tools to integrate, validate, benchmark, and deploy machine learning models.

Required Skills & Experience

Strong programming skills in Python and C++.
Solid understanding of machine learning fundamentals.
Experience with PyTorch, TensorFlow, or similar machine learning frameworks.
Familiarity with Linux development environments.
Experience working with datasets, data-processing pipelines, and model evaluation.
Understanding of common machine learning evaluation metrics, including precision, recall, F1, and confusion matrices.
Strong software development practices, with an interest in building maintainable, reusable, and automated tools.
Strong problem-solving skills, attention to detail, and the ability to work collaboratively with technical teams.
A Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, Artificial Intelligence, or a related field is preferred.

This position is well suited to a recent graduate or someone early in their career. Relevant academic projects, internships, research experience, and personal projects are highly valued.

Nice to Have

Embedded systems or edge AI, including Texas Instruments processors and TIDL.
ONNX, model conversion, quantization, pruning, or compression.
Computer vision, signal processing, or time-series analysis.
Label Studio or similar data annotation platforms.
MLflow, Weights & Biases, DVC, or similar ML lifecycle tools.
Docker, CI/CD, and automated development workflows.
GPU or hardware-accelerated inference.

Inclusion & Accessibility

At Senstar, we are committed to fostering an inclusive, accessible workplace that values a wide range of backgrounds, perspectives, and skills. We believe that diversity and inclusion make us stronger, more innovative, and more competitive. If you require an accommodation at any stage of the recruitment or hiring process, please let us know.

We may use technology, including AI-based tools, to support our recruitment process (for example, to compare applications against job requirements or to summarize interview notes). All hiring decisions are made by our hiring teams, not by automated systems.

Apply About employer

More about this job

Responsibilities

The developer will build and maintain workflows for data collection, labeling, and model training while collaborating on the deployment of machine learning models to embedded edge platforms. They are responsible for automating model evaluation and developing tools to improve the efficiency and reliability of the machine learning development lifecycle.

Requirements

Candidates should have strong programming skills in Python and C++ along with a solid understanding of machine learning fundamentals and frameworks like PyTorch or TensorFlow. A Bachelor's or Master's degree in a relevant technical field is preferred, and the role is well-suited for early-career professionals with experience in data processing and embedded systems.

Skills

Python
C++
Machine Learning
PyTorch
TensorFlow
Embedded Systems
Edge AI
Computer Vision
Data Pipelines
Model Optimization
Linux
Label Studio
CI/CD
Docker
Signal Processing
Inference

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Embedded Systems
Edge AI
Python
C++
PyTorch
TensorFlow
Computer Vision
Signal Processing
TIDL
Label Studio
MLflow
Weights & Biases
DVC
Docker
CI/CD
Model Quantization
Model Pruning
Inference
Linux
Data Versioning
Regression Testing
Automation
Latency Optimization
Memory Usage
Accelerator Utilization
Time-series Analysis
Software Development
Model Deployment
Embedded Platforms

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