Find work in Canada.

624,568 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 5 days ago
VB
Sr Specialist - Project Estimating & Cost Control
Vale Base Metals
Toronto, ON
- Full-time
Support quantitative risk analysis and contingency determination activities through collaboration with project risk management teams.
Added 5 days ago
CH
Lead
Covenant Health Canada
AB · Edmonton, AB
- Full-time
…The Ideal candidate should have a bachelor’s degree with a quantitative background (including, but not limited to, finance, health sciences or computer…
Added 5 days ago
Applied Machine Learning Developer
Redlen Technologies Inc.
Saanichton, BC
…Reliability, and Image Quality, ensuring decisions are grounded in quantitative…
Added 5 days ago
Manager, Quantitative Strategies & Analytics
Scotiabank
Toronto, ON
…insights, modernize and automate processes, and build purpose-built quantitative tools that enhance the investment process and advisor-facing impact. Operating at the intersection of data…
Added 5 days ago
Manager, Quantitative Strategies & Analytics
Scotiabank
Toronto, ON
…insights, modernize and automate processes, and build purpose-built quantitative tools that enhance the investment process and advisor-facing impact. Operating at the intersection of data…
Added 5 days ago
NR
Senior Pricing Analyst
Norton Rose Fulbright
Toronto, ON
- Full-time
· Bachelor’s degree or diploma in a quantitative discipline, such as economics, finance, or analytics.
Added 5 days ago
C
Consultant, Data Risk (12-months Fixed Term)
CIBC
Toronto, ON
- Full-time
Data analysis - Investigate quantitative and qualitative data to evaluate risk exposure and develop risk profiles.
Added 5 days ago
BC
Risk Analyst - Ontario Line Subway Project
Bantrel Co.
Toronto, ON
- $95,000 to $145,000 CAD / year
- Full-time
Contribute to quantitative risk assessments (QCRA/QSRA)
Added 5 days ago
LA
Training and Development Manager
LISI AEROSPACE NORTH AMERICA
Dorval, QC
- Full-time
…deliver solutions -technical and financial- to problems, and use quantitative measures/indicators and analysis to solve…
Added 5 days ago
LA
Plant Controller
LISI AEROSPACE NORTH AMERICA
Dorval, QC
- Full-time
…management team. The ideal candidate will possess excellent quantitative and interpersonal skills. Acting as a business partner, the Plant Controller guides the company management to…
Added 5 days ago
NM
TMS Technician (LPN/RN)
NuVista Mental Health
Greenwood, NS
- $41.2 CAD / hour
- Part-time
Added 5 days ago
HT
Intern Researcher- Computer Vision
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
Currently pursuing a master’s or Ph.D. degree in Electrical Engineering, Computer Science, Audio/Acoustic Engineering, or a related quantitative field.
Added 5 days ago
BC
Risk Analyst - Ontario Line Subway Project
Bantrel Co.
Toronto, ON
- $95,000 to $145,000 CAD / year
- Full-time
Contribute to quantitative risk assessments (QCRA/QSRA)
Added 5 days ago
T
Director, Wealth Strategy & Research - 12-month contract - Tangerine
Tangerine
Toronto, ON
- Contract
Strong quantitative and qualitative research capabilities, with deep expertise in the North American wealth management space.
Added 5 days ago
S
Manager, Quantitative Strategies & Analytics
Scotiabank
Toronto, ON
- Full-time
…insights, modernize and automate processes, and build purpose-built quantitative tools that enhance the investment process and advisor-facing impact. Operating at the intersection of data…
Added 5 days ago
Director, Strategic Asset Allocation
Equitable
Waterloo, ON
Develop strategic asset allocation recommendations using quantitative analysis, insurance liability insights, and asset-liability management principles to enhance policyholder value and…
Added 5 days ago
BP
Risk Rotational Analyst – Graduate
BNP Paribas
Montreal, QC
- Other
Based in Montreal, the team leverages its quantitative‑modelling expertise to support Group Risk streams, namely Modeling and Simulation for You (“MS4U”) and RISK ESG, building models for…
Added 5 days ago
W
Analytics Specialist
WorkSafeBC
Richmond, BC
- Full-time
Apply quantitative and qualitative research methods (e.g. statistical analyses, data modeling, text mining, machine learning, predictive analytics, sampling, survey and questionnaire design)
Added 5 days ago
OO
Senior Policy Advisor - Conseiller principal en politiques publiques
Office of the Commissioner of Indigenous Languages
Ottawa, ON
- Full-time
Conduct and oversee qualitative, quantitative, and Indigenous methodologies.
Added 5 days ago
OO
Senior Policy Analyst - Analyste principal en politiques publiques
Office of the Commissioner of Indigenous Languages
Ottawa, ON
- Full-time
Integrate and synthesize qualitative and quantitative data, including community input, research findings, and jurisdictional scans, to develop clear, evidence-based policy options and…
Added 5 days ago
C
Product Manager
Cvent
Fredericton, NB
- Full-time
Data fluency. Maintain dashboards for your domain. Comfort with quantitative concepts such as pacing and attrition is a plus.
Added 5 days ago
Service Experience Specialist
City of Edmonton
AB
Conduct qualitative and quantitative research, environmental scans, and comparative municipal studies to evaluate emerging industry best practices
Added 5 days ago
T
Manager, Issues Management (Corporate Operational Risk Management) (5660)
TD
Toronto, ON
- Full-time
Analyze quantitative and qualitative Enterprise Issues Management data to identify trends, recurring themes, systemic drivers and remediation concerns. Assess the risk implications and…
Added 5 days ago
BC
Risk Analyst - Ontario Line Subway Project
Bantrel Co.
Toronto, ON
- $95,000 to $145,000 CAD / year
- Full-time
Contribute to quantitative risk assessments (QCRA/QSRA)
Added 5 days ago
KH
Applied AI Evaluation & Product Researcher (Contract)
Kids Help Phone
Toronto, ON
- $95,000 to $110,000 CAD / year
- Contract
Strong experience with qualitative and quantitative research methods, including surveys, usability testing, and analysis

Redlen Technologies Inc.

Applied Machine Learning Developer

Saanichton, BC, Canada

Salary Range: $100,000 - $125,000 CAD

Apply About employer

Applications open in a new tab.

Job details

Pay: Salary Range: $100,000 - $125,000 CAD
Posting language: English
Posted: Nov 3, 2026

Original job description

Why Redlen Technologies?

Redlen Technologies is a pioneering company that has revolutionized the semiconductor crystal growth and fabrication process.

At Redlen Technologies, innovation is at the heart of everything we do. Our founder's visionary work with the Canadian Space Agency laid the foundation for our groundbreaking Cadmium Zinc Telluride (CZT) sensors, revolutionizing medical imaging, security imaging, and non-destructive testing. We are driving a quantum leap forward in medical CT scanners, elevating diagnostic accuracy while reducing radiation dose– a technological feat that has earned us global recognition. With a commitment to excellence, we have earned the trust of Fortune 500 industry customers, leading to our acquisition by Canon Inc. for $430M– a testament to our industry leadership.

With over 200 dedicated professionals, we take pride in fostering a work environment where Science, Technology, Engineering, and Math (STEM) professionals thrive. As an equal opportunity employer we demonstrate that diversity drives innovation, and we are passionate about building a future where every employee contributes to our mission-driven success. Redlen's teams, mirroring the multifaceted diversity of Canadian society, exemplify our commitment to leveraging a wide range of ideas and backgrounds as a driving force for innovation, business excellence, and pioneering advancements in STEM.

Product Performance

Redlen’s Product Performance team is dedicated to ensuring our detector modules meet the highest standards of reliability, performance, and application suitability. The team plays a critical role in connecting detector design and manufacturing to real-world imaging outcomes by driving initiatives in reliability, image quality optimization, verification, validation & test (VV&T), and data-driven performance analysis. Leveraging advanced data science techniques, robust testing protocols, and cross-functional collaboration, Product Performance ensures that every detector we deliver supports world-class photon-counting CT imaging and exceeds customer expectations.

Data Science

The Data Science team builds the models, pipelines, and tools required to convert high-throughput detector data into actionable insight. By enabling scalable analysis of reliability, production, and in-field data, they support failure mode identification, performance characterization, and system optimization. They operate as a connective layer across Product Performance, Reliability, and Image Quality, ensuring decisions are grounded in quantitative evidence.

About the Role

The Applied Machine Learning Developer develops machine learning, computer vision, and advanced analytical solutions for complex scientific, product-performance, reliability, sensor, and manufacturing data. The role works with multidisciplinary teams to translate technical problems into robust analytical solutions that improve defect detection, product characterization, process understanding, and data-driven decision-making.

Responsibilities

Machine Learning & Model Development

Develop and validate machine learning models for classification, regression, clustering, anomaly detection, and prediction using complex scientific and manufacturing datasets.
Design feature-engineering, model-selection, cross-validation, and evaluation strategies suitable for noisy, imbalanced, high-dimensional data.
Evaluate when machine learning or deep learning provides meaningful value over established statistical, signal-processing, or algorithmic approaches.

Computer Vision & Image Analysis

Develop computer-vision and image-processing algorithms for automated detection, classification, segmentation, and characterization of spatial defects and patterns.

Time-Series & Anomaly Detection

Develop methods for time-series analysis, change detection, and anomaly detection to identify abnormal or degrading sensor behavior.

ML Workflows & Software Development

Develop reproducible and scalable machine learning workflows for data preparation, feature engineering, model training, validation, and deployment across local and cloud-based environments, including AWS.
Translate successful experiments and notebooks into maintainable, reusable Python and MATLAB software and analytical tools.

Model Validation & Statistical Analysis

Quantify model uncertainty and false-positive/false-negative risk.
Communicate model assumptions, limitations, and validation results clearly.

Cross-Functional Collaboration

Collaborate with data scientists, software developers, data engineers, scientists, technologists, and domain experts to define problems and deliver practical solutions.

Other

Other duties as assigned and relevant to the role.

Qualifications

Required Experience

Approximately 5+ years developing applied machine learning solutions.
Analysis of time-series, spatial, sensor, imaging, or other high-dimensional scientific datasets.
Computer vision and image-processing applications using OpenCV, scikit-image, PyTorch, TensorFlow, or comparable tools.
SQL and structured analytical datasets within complex technical environments.

Skills

Strong proficiency in Python, including NumPy, pandas, SciPy, and scikit-learn.
Strong understanding of supervised and unsupervised learning methods, including classification, regression, clustering, and anomaly detection.
Solid statistical foundation, including cross-validation, precision and recall, class imbalance, uncertainty quantification, and data-leakage prevention.
Strong software development practices, including version control, modular design, testing, code review, and technical documentation.
Ability to translate ambiguous technical questions into well-defined analytical problems and independently develop appropriate analytical approaches.
Familiarity with AWS services such as S3, Athena, Glue, SageMaker, Lambda, and ECR/ECS is considered an asset.
Excellent verbal and written communication skills in English.

Personal Attributes

Strong analytical thinking and technical judgment.
Comfortable working with ambiguity and independently advancing complex technical problems.
Pragmatic approach to balancing scientific rigor with business and operational priorities.

Preferred Experience

Applied machine learning or advanced analytics supporting product performance, reliability, manufacturing, scientific, sensor, or other technically complex datasets.
Scientific computing, algorithm development, signal processing, image processing, simulation, or experimental-data analysis using MATLAB.
Cloud-based data processing and machine learning workflows in AWS environments.
Modern data-lake and lakehouse architectures, including Parquet-based ecosystems.
Deep learning techniques using PyTorch, TensorFlow, or equivalent frameworks.
MLOps practices including Docker, MLflow, CI/CD, model deployment, and experiment tracking.
Semiconductor, medical imaging, industrial sensing, scientific instrumentation, reliability, predictive maintenance, condition monitoring, or similar technical domains.

Education

Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, or another related quantitative field.

Salary Range: $100,000 - $125,000 CAD

At Redlen, we prioritize clarity in our hiring process. The salary range posted above reflects the minimum and maximum for new hire salaries, taking into account factors such as job-related skills and expertise, relevant training and education, and business needs. It is common for ranges to span multiple levels in order to attract top talent across experience levels. It is uncommon to be hired at the top of the range; however, in exceptional cases where a candidate's skills and expertise significantly exceed the role's requirements, we may consider offering a higher salary. If you believe your skill set falls outside this range and you’re interested in exploring opportunities with Redlen, please reach out to our People & Culture Team (T.A. Specialists or Business Partners), specifying how your expertise aligns with our teams, so we can collaborate on potential opportunities. We believe in developing those that demonstrate quality performance and promise.

Total Rewards and Benefits

Competitive salary and performance-based bonuses.
Comprehensive health, dental, and vision insurance.
RRSP retirement plan with employer match component.
Professional development opportunities.
Generous paid time off and holidays.
Vibrant and inclusive workplace culture.

Apply About employer

More about this job

Responsibilities

Develop and validate machine learning, computer vision, and analytical models to improve product performance, defect detection, and manufacturing processes. Collaborate with multidisciplinary teams to translate complex technical problems into scalable, data-driven solutions.

Requirements

Requires approximately 5+ years of experience in applied machine learning and analysis of high-dimensional scientific datasets. Candidates must possess strong proficiency in Python, statistical modeling, and image processing tools, along with a Master's degree in a quantitative field.

Skills

Machine learning
Computer vision
Python
NumPy
Pandas
SciPy
Scikit-learn
PyTorch
TensorFlow
SQL
Time-series analysis
Statistical analysis
Image processing
AWS
Data modeling
Anomaly detection

Benefits

Competitive salary
Performance-based bonuses
Health insurance
Dental insurance
Vision insurance
RRSP retirement plan with employer match
Professional development opportunities
Paid time off
Paid holidays

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Computer Vision
Python
AWS
Semiconductor
Medical Imaging
Data Science
Signal Processing
Anomaly Detection
Predictive Maintenance
MATLAB
OpenCV
Scikit-learn
PyTorch
TensorFlow
SQL
Time-series Analysis
Statistical Modeling
MLOps
Docker
CI/CD
Data Engineering
Photon-counting CT
Sensor Data
Manufacturing
Reliability Engineering
Feature Engineering
Cross-validation
Uncertainty Quantification
Data Lake

Report this job