Jobs in Canada

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Added 11 hours ago
CI
Machine Learning Engineer Co-op
Canadian Imperial Bank of Commerce (Canada)
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 11 hours ago
Ads Threat Intelligence
Google
Waterloo, ON
Experience with programming languages such as Python, Go, C++, or Java.
Added 11 hours ago
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AI and Quantum Scientist Co-op
Canadian Imperial Bank of Commerce (Canada)
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 11 hours ago
S
Staff Applied Research Scientist
ServiceNow
Montréal, QC
- Full-time
- Hybrid
…quickly, stress-testing assumptions, and working side by side with the Forward Deployed Engineering team to validate ideas against real customer workflows. When a prototype fails in the…
Added 11 hours ago
Machine Learning Engineer
RECYCLEYE
Stratford, ON
We work mostly in Python, with some Go, deploying models and algorithms to NVIDIA Jetson devices running DeepStream pipelines, supported by Docker, GitHub Actions and Azure.
Added 11 hours ago
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Silicon Design Engineer (1 year contract)
AMD, Inc.
Markham, ON
- Temporary
Experience with Perl/Python/Shell scripting, C++, SQL
Added 11 hours ago
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hireVouch
Toronto, ON
Strong software engineering fundamentals, with hands-on experience in Python
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AI Inference Core - Senior SDET, Release Integration Testing
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Proficiency in Python, Go, or a similar programming language, with demonstrated experience writing maintainable, production-quality code.
Added 11 hours ago
Senior Software Engineer
RECYCLEYE
Stratford, ON
…low-latency Go services, GStreamer video pipelines, real-time Python data processing, Azure infrastructure, Linux systems and Python web applications. We're looking for a developer skilled…
Added 11 hours ago
RC
Intermediate Software Engineer - Python or Go, Data, Hybrid
Randstad Canada
Toronto, ON
- $96,000 to $130,000 CAD / year
- Full-time
This is a fulltime permanent position and hybrid in Toronto, 2 days per week onsite
Added 11 hours ago
C
AI Expert developer
CGI
Montréal, QC
- Full-time
Experience with AI powered developer tools: GitHub Copilot, Cursor, Codeium, or similar solutions.
Added 11 hours ago
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Senior MLOps Engineer
CGI
Montréal, QC
- Full-time
Senior level Python development across the full data and ML stack.
Added 11 hours ago
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ML Engineer, Trust & Safety [Hapiko]
Spin Master Ltd
Toronto, ON
- $136,700 to $182,300 CAD / year
- Full-time
Please Note: If you are a current Spin Master employee with access to Workday, apply to this job via the Workday application.
Added 11 hours ago
MC
AI Engineer
Myticas Consulting
Toronto, ON
- Contract
Experience with Docker, Kubernetes, CI/CD, and version control.
Added 11 hours ago
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Senior Machine Learning Engineer / Specialist – AI Centre of Excellence
Myticas Consulting
Canada
- Contract
The successful candidate will bring expert-level Python and SQL skills, combined with deep hands-on experience with Azure Machine Learning, Databricks, MLflow, CI/CD, MLOps, model…
Added 11 hours ago
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Sr. Security Specialist - GRC/Banking/CISSP
BeachHead
Toronto, ON
- Contract
Experience with AI/ML or data analytics tools such as Power BI and Python
Added 11 hours ago
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Integration Lead
Axya Inc.
Montréal, QC
- Full-time
- On-site
Strong hands-on coding ability, with the range to work across both of our stacks: Python (Django a strong plus) and C#/.NET. Deep strength in one and genuine willingness/ability to operate…
Added 11 hours ago
Senior Machine Learning (MLOps) Engineer
Nöord Technologies Corporation
QC
At Nöord Technologies, we empower top-tier financial institutions with exceptional talent in banking and capital markets. For the needs of one of our prestigious clients, a major banking…
Added 11 hours ago
FW
AI/ML Engineer
Future Works
Canada
- Contract
…twelve-week cycles, run by senior experts and fleets of AI agents, with our fees tied to outcomes our clients' own finance teams verify. We deliver in twelve weeks what incumbents quote at…
Added 11 hours ago
HT
Lead / Principal Java Engineer
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Toronto, ON
- Contract
- Hybrid
Work closely with data science, product, and engineering teams to move AI/ML capabilities from experimentation into production.
Added 11 hours ago
Industry 4.0 Digital Transformation Specialist
Stir Consulting Inc.
Toronto, ON
Design and deploy digital factory solutions aligned with Industry 4.0 principles
Added 11 hours ago
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Staff Software Engineer - AI II
Thomson Reuters Holdings Inc.
Toronto, ON
- Full-time
- Hybrid
Expert-level proficiency in Python or another object-oriented language, with strong backend service and API design skills.
Added 11 hours ago
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Senior Data Scientist
Takeaway
MB
- Full-time
Strong proficiency in Python and SQL, with experience shipping reliable models into production environments.
Added 11 hours ago
RQ09399 - Software Developer - Full Stack - Senior
Rubicon Path
Toronto, ON
You have strong proficiency in modern Python versions, and building REST API with FastAPI.
Added 11 hours ago
RQ09559 - Software Developer - Full Stack - Senior
Rubicon Path
Toronto, ON
You have strong proficiency in modern Python versions, and building REST API with FastAPI.

Invision AI

Machine Learning Engineer

Remote, Canada

Remote

Full-time

Apply on jobs.workable.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: Aug 28, 2026

Original job description

We are looking for a Machine Learning Engineer to join our Toronto team and help us take our products to the next level in terms of visual intelligence.

Our Company

Invision AI is building a universal AI platform for computer vision applications. Powered by a unique multi-camera stack that generates high-integrity 3D digital twins of dynamic environments, our technology powers disruptive, market-leading solutions in intelligent infrastructure and global Transportation.

The Role

As a Machine Learning Engineer, you will work across the full machine learning lifecycle, from data collection and labeling strategy through training, evaluation, deployment, monitoring, and ongoing improvement.

Your focus will be developing and maintaining computer vision models used in real-world products. While the work may involve researching and implementing new approaches, this is primarily an applied engineering position. We are looking for someone with a track record of building, shipping, and maintaining production ML systems.

The position includes working on projects that expand and strengthen our capabilities in object detection, image classification, geospatial tracking, and sensor fusion, with models deployed to resource-constrained edge devices.

Working within a collaborative team, you will build accurate, efficient, and principled solutions. As a key contributor to the company's next stage of growth, you will help advance our products, solve challenging customer problems, and shape our ML engineering practices in a fast-moving environment.

Location

This is a full-time, hybrid position based in Toronto. You will work from our downtown Toronto office three days per week.

What You'll Do

Recommend, develop, evaluate, and deploy ML models across our product lines
Build and improve data-labeling, training, and evaluation pipelines
Establish evaluation methods that connect model performance to product and business outcomes
Prototype new product capabilities using appropriate technologies
Optimize models for latency, memory usage, power consumption, and accuracy on edge devices
Diagnose and resolve issues affecting deployed models
Monitor production performance and identify model drift, data-quality problems, and retraining needs
Write maintainable, well-tested code and clear technical documentation
Participate in design reviews, code reviews, and technical planning
Share ML knowledge and collaborate with software, product, and other engineering teams

Must Have

A track record of developing and deploying production computer vision models
Strong Python software development skills
Proficiency with frameworks such as PyTorch, TensorFlow and scikit-learn
Practical knowledge of CNNs and modern computer vision architectures
The ability to adapt open-source models to specific products and use cases
Hands-on work optimizing models for resource-constrained or edge environments
Knowledge of experiment tracking, dataset versioning, and ML observability
Skill in designing evaluation metrics that reflect product and business requirements
An understanding of model monitoring and production troubleshooting
Working knowledge of embedded systems and their constraints
Sound software engineering practices, including automated testing, code review, version control, and continuous integration
Strong written and verbal communication skills
Must be legally entitled to work in Canada

Bonus Skills

Familiarity with Docker or other container technologies
C++ development skills
GPU programming or performance-optimization knowledge
Knowledge of model compression techniques, including quantization, pruning, and knowledge distillation
Familiarity with edge inference tools such as ONNX Runtime, TensorRT
Familiarity with traditional, non-ML image-processing techniques
A background in sensor fusion or geospatial data

A Mission that Matters: The opportunity to work on projects that make the world safer and greener

Excellence: A culture of very high technical standards where quality engineering is valued over quick hacks

Technical Challenge: A wide variety of technology and tasks, including web development, distributed and edge computing, ML, real-time processing, and computer vision

Growth Environment: Join an international team where your voice is heard and your impact is visible

Compensation and benefits: Competitive salary package including equity, allowing you to share in the success you help build. Benefits: RRSP Plan, Health and Dental and 4 weeks holiday.

Apply on jobs.workable.com About employer

More about this job

Responsibilities

You will develop, evaluate, and deploy computer vision models across the full machine learning lifecycle for real-world products. Additionally, you will optimize these models for edge devices while maintaining production pipelines and monitoring performance.

Requirements

Candidates must have a proven track record of developing and deploying production computer vision models using Python and frameworks like PyTorch or TensorFlow. Strong software engineering practices and experience with embedded systems or edge environments are essential.

Skills

Python
PyTorch
TensorFlow
Scikit-learn
Computer vision
CNNs
Object detection
Image classification
Geospatial tracking
Sensor fusion
Edge computing
Model optimization
Embedded systems
Machine learning lifecycle
Software engineering
Continuous integration

Benefits

Equity
RRSP Plan
Health Insurance
Dental Insurance
4 weeks holiday

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning Engineer
Computer Vision
Python
PyTorch
TensorFlow
Scikit-learn
CNN
Object Detection
Image Classification
Geospatial Tracking
Sensor Fusion
Edge Devices
Latency Optimization
Model Monitoring
Embedded Systems
Docker
C++
GPU Programming
Quantization
Pruning
Knowledge Distillation
ONNX Runtime
TensorRT
Continuous Integration
Version Control
Automated Testing
Data Labeling
Model Drift
Infrastructure
Transportation

Perks

Retirement plan
Stock or equity

Tools

PyTorch
TensorFlow
scikit-learn
Docker
ONNX Runtime
TensorRT
C++

Languages

English

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Work requirements

Jobs in Canada