Jobs in Canada

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Added 56 mins ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Added 3 hours ago
MC
AI & Automation Developer
Morgan Construction and Environmental Ltd.
AB · Edmonton, AB
- Full-time
At Morgan, we don’t just build projects, we build careers and futures! Join us as an AI & AUTOMATION DEVELOPER and play a pivotal role in our dynamic world of heavy civil construction!
Added 5 hours ago
M
Technology Delivery Lead, Enterprise AI
Marsh
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 6 hours ago
P
Physical AI Developer
PwC
Toronto, ON
- Full-time
As a Physical AI Developer at the Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t…
Added 9 hours ago
MC
AI & Automation Developer
Morgan Construction & Environmental Ltd.
AB · Edmonton, AB
- Other
At Morgan, we don’t just build projects, we build careers and futures! Join us as an AI & AUTOMATION DEVELOPER and play a pivotal role in our dynamic world of heavy civil construction!
Added 9 hours ago
AC
Specialist, Data and AI - AI Systems Integrator
Air Canada
Toronto, ON · Dorval, QC
- Full-time
Implement and maintain CI/CD pipelines for models, inference services, and data workflows in accordance with defined MLOps standards.
Added 9 hours ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
Strong, hands-on understanding of the MLOps lifecycle and associated tools (e.g., Docker, Kubernetes, MLflow, Kubeflow, Prometheus).
Added 10 hours ago
D
Senior Data Engineering Advisor
Desjardins
Montreal, QC · Levis, QC
- Full-time
Knowledge of Azure MLOps and advanced analytics
Added 10 hours ago
Data Scientist
Government of Alberta
AB
Added 12 hours ago
MM
Technology Delivery Lead, Enterprise AI
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 13 hours ago
B
Principal Architect, AI Platform
BMO
Toronto, ON
- Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 13 hours ago
S
Data Scientist (Aerospace)
SOTI
Mississauga, ON
- Full-time
Experience with MLOps, containers, CI/CD, model registries, cloud platforms, or embedded deployment is an asset.
Added 13 hours ago
S
Data Scientist (Aerospace)
SOTI
Mississauga, ON
- Full-time
Experience with MLOps, containers, CI/CD, model registries, cloud platforms, or embedded deployment is an asset.
Added 14 hours ago
H
Senior Specialist AI Machine Learning
Hays
Sudbury, ON
- Full-time
We are currently seeking a Sr. Specialist, AI/Machine Learning Developer to join the AI & Automation Centre of Excellence within Information Technology, based in Sudbury, Ontario, Canada.
Added 15 hours ago
N
AI Researcher - PhD
nugget.ai
Mississauga, ON
- Contract
Engineering Acumen: Proven experience with distributed computing frameworks (e.g., Spark, Ray), cloud data infrastructure (AWS, Azure, or GCP), and modern MLOps pipelines.
Added 15 hours ago
S
Data Scientist II
SOTI
Mississauga, ON
- Full-time
Knowledge of MLOps, including CI/CD, model monitoring, model/version management,
Added 17 hours ago
YI
AI Transformation Lead
YM INC.
Toronto, ON
- Full-time
Understanding of MLOps concepts, APIs, and how AI products are built and maintained
Added 22 hours ago
C
Senior Software Engineer - Integrations - AI/ML
ClickHouse
Remote, Canada
- $147,000 to $238,000 USD / year
- Full-time
- Remote
…integrations set the standard for performance, reliability, and developer…
Added 1 day ago
VB
Sr Spec, IT
Vale Base Metals
Toronto, ON
- Full-time
We are seeking a Sr. Specialist, AI/Machine Learning Developer to join our AI & Automation Centre of Excellence for a permanent opportunity within Information Technology in Sudbury, ON.…
Added 1 day ago
NC
AI Software Developer
Newfoundland Capital Corporation Limited
Montreal, QC
- Full-time
We are currently looking for an AI Software Developer to join our AI team. This position reports to the AI Adoption Leader.
Added 1 day ago
S
Applied Research Scientist
Sixone
Burnaby, BC
- $100,000 to $140,000 CAD / year
- Full-time
Implementing and integrating MLOps (MLflow, Docker, CI/CD pipelines) into workflows.
Added 1 day ago
VG
AI Engineer
Veralto Global
London, ON
- $90,000 to $120,000 CAD / year
- Full-time
Experience with MLOps, including model versioning, monitoring, and retraining pipelines.
Added 1 day ago
TC
Lead Developer, Research & Development
The Citco Group Limited
ON · ON, Canada
- Full-time
The Lead Developer within the Transformation Office's R&D team will provide technical leadership for AI-enabled solutions supporting a strategic Fund Services transformation program using…
Added 1 day ago
IF
Senior Data Analyst
iA Financial Group (Industrial Alliance)
Quebec, QC
- Full-time
Implement development and production best practices, including CI/CD, DevOps, and MLOps, to ensure solution traceability, monitoring, reproducibility, quality, and long-term sustainability.
Added 1 day ago
W
Spécialiste principal(e) en architecture de données et intelligence artificielle
Wepoint
Montreal, QC
- Full-time
Définir les architectures d’apprentissage automatique ainsi que les pratiques MLOps et LLMOps couvrant le déploiement, l’évaluation, l’observabilité et la gestion des versions;

Sixone

Applied Research Scientist

Burnaby, BC, Canada

$100,000 to $140,000 CAD / year · Full-time

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Job details

Pay: $100,000 to $140,000 CAD / year
Job type: Full-time
Apply by: Dec 9, 2026
Experience: 2+ years of relevant industry experience required
Posting language: English
Posted: Nov 9, 2026

Original job description

About the Company

Sixone’s technology uses machine learning (ML) algorithms to advance our knowledge of consumer plastics. Our goal is to pioneer an ML technology to enable the recycling of complex plastic materials. Sixone has developed technologies for process digitalization and advanced analytics, built to enable efficient plastics recycling. The bridging of our chemical database and sensor readings has been shown to work for blended plastics and plastic-based products. We believe that the economics of recycled materials can be achieved through innovative processing and materials technologies.

Overview of Role

This role focuses on building end-to-end ML systems that transform spectral, hyperspectral, and imaging data into actionable decisions for materials processing. You will work across the full stack: sensor data ingestion and calibration, feature extraction from high-dimensional spectral data, model development and model deployment into real-world recycling operations. This is a hands-on role that requires strong ML fundamentals.

Responsibilities

Build and maintain data pipelines for cameras, optical spectroscopy, and hyperspectral sensors (ingestion, calibration, normalization)
Develop algorithms for classification, segmentation, anomaly detection, spectral unmixing and representation learning
Design multimodal models linking sensor data to downstream process outcomes
Deploy models into production systems
Establish data quality and calibration standards for sensors
Design and maintain calibration pipelines for imaging sensors
Develop preprocessing and feature extraction algorithms
Handle variations across sensors, lighting conditions, and acquisition setups
Ensure consistency and traceability between raw sensor data and model inputs
Establish data quality metrics and validation protocols for sensor outputs
Work closely with process teams to translate physical signals into model inputs
Own data experimental designs and statistical evaluations.
Develop data collection requirements and model improvement cycles.
Stay current with spectroscopy, computer vision, and remote sensing literature.

Candidate Requirements

2+ years of relevant industry experience required
Strong proficiency in Python and PyTorch
Experience in high-dimensional data (e.g. imaging, spectroscopy, computer vision, or remote sensing)
Experience working with measurement instruments (e.g., spectroscopy, imaging systems, or sensor calibration) and linking sensor-derived features to physical or chemical properties
Experience in building data pipelines and developing models on cloud infrastructure (AWS)
Experience in designing machine learning models (e.g. CNNs, autoencoders) and deploying models on edge devices.
Comfortable working in a dynamic environment with evolving requirements and continuous product development.
Effective communication skills with both technical and non-technical stakeholders.

Preferred Experience

Experience developing models/ feature extractions from hyperspectral imaging or spectroscopy
Knowledge in vision transformers / contrastive learning
Implementing and integrating MLOps (MLflow, Docker, CI/CD pipelines) into workflows.

Sixone offers a stimulating work environment that promotes creativity, curiosity, and innovation. Join the team and contribute to our mission to transform the recycling industry and promote a sustainable future.

Apply on LinkedIn About employer

More about this job

Responsibilities

Build end-to-end machine learning systems that process camera, spectroscopy, hyperspectral, and imaging data, from sensor ingestion and calibration through feature extraction, model development, and production deployment. Establish sensor data quality and calibration standards, design experiments and evaluations, and collaborate with process teams to connect physical signals with materials-processing outcomes.

Requirements

Requires at least two years of relevant industry experience, strong Python and PyTorch skills, and experience with high-dimensional sensor data, measurement instruments, and linking sensor features to physical or chemical properties. Candidates should also have experience building AWS data pipelines, developing and deploying machine learning models including on edge devices, and communicating effectively in a changing product-development environment.

Skills

Python
PyTorch
Machine Learning
Spectroscopy
Hyperspectral Imaging
Computer Vision
Sensor Calibration
Data Pipelines
Feature Extraction
Classification
Segmentation
Anomaly Detection
Spectral Unmixing
Model Deployment
AWS
MLOps

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
PyTorch
AWS
Spectroscopy
Hyperspectral Imaging
Computer Vision
Remote Sensing
Sensor Data Ingestion
Sensor Calibration
Data Pipelines
Data Normalization
Feature Extraction
Classification
Segmentation
Anomaly Detection
Spectral Unmixing
Representation Learning
Multimodal Models
Convolutional Neural Networks
Autoencoders
Edge Devices
Vision Transformers
Contrastive Learning
MLOps
MLflow
Docker
CI/CD
Statistical Evaluation
Plastics Recycling

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Jobs in Canada