Jobs in Canada

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Added 10 days ago
T
Actuarial Analyst I - Project Development & Optimization
TD
Toronto, ON
- Full-time
Bachelor's degree in Actuarial science, or other quantitative area of study
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T
Manager, Business Management & Strategic Initiatives
TD
Toronto, ON
- Full-time
…and strategic problem solver with strong financial acumen, quantitative capabilities, relationship management skills and business…
Added 10 days ago
CO
Manager Policy and Risk Management
City of Saint John
Saint John, NB
- Full-time
Excellent problem-solving skills and be able to conduct qualitative and quantitative analysis.
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Data Analyst
GiveBridge
Toronto, ON
- Full-time
Bachelor’s degree or diploma in Data Analytics, Business Analytics, Statistics, Computer Science, Information Systems, Economics, or a related quantitative field.
Added 10 days ago
HB
Trading Application Support Engineer: $180,000cad + Bonus (Quant Fund)
Hunter Bond
Montreal, QC
- Full-time
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Production Supervisor
Factor_
Mississauga, ON
- Full-time
Quantitative and analytical experience – must have proficiency using MS Excel and G-Suite Apps
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HB
Platform Engineer - $250,000+ bonus! (Fintech)
Hunter Bond
Montreal, QC
- Full-time
A leading global quantitative investment firm, built on research, technology and data. Engineers here work closely with researchers and developers, and the platform they build underpins…
Added 10 days ago
PR
Associate Business Manager, AB & SK
Potentia Renewables Inc.
Calgary, AB
- $85,000 to $100,000 CAD / year
- Full-time
Potentia Renewables Inc. (Potentia) is a Canadian, fully integrated developer, asset manager, and operator of renewable energy and energy storage facilities. Potentia manages over 1.5 GW…
Added 10 days ago
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Pricing & Performance Analyst
Akkodis
Toronto, ON
- $90,000 to $95,000 CAD / year
- Full-time
This is an excellent opportunity for a data-driven professional looking to leverage quantitative analytics, financial modeling, pricing, and business intelligence skills within a…
Added 10 days ago
SG
Junior Quantitative Advisor-QIS
Societe Generale
Montreal, QC
- Full-time
…institutional clients. The successful candidate will join the Quantitative Solutions team in Montreal and contribute to a broad range of front-office quantitative activities supporting the…
Added 10 days ago
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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 10 days ago
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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 10 days ago
Applied Machine Learning Developer
Redlen Technologies Inc.
Saanichton, BC
…Reliability, and Image Quality, ensuring decisions are grounded in quantitative…
Added 10 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 10 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 10 days ago
NR
Senior Pricing Analyst
Norton Rose Fulbright
Toronto, ON
- Full-time
This position is 4 days in office
Added 10 days ago
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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 10 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 10 days ago
LA
Training and Development Manager
LISI AEROSPACE NORTH AMERICA
Dorval, QC
- Full-time
Must have experience working with fastener-industry-specific machines and tools
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LA
Plant Controller
LISI AEROSPACE NORTH AMERICA
Dorval, QC
- Full-time
Hybrid position with the option to work remotely 2 days per week.
Added 10 days ago
NM
TMS Technician (LPN/RN)
NuVista Mental Health
Greenwood, NS
- $41.2 CAD / hour
- Part-time
Added 10 days ago
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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 10 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 10 days ago
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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 10 days ago
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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…

Redlen Technologies Inc.

Applied Machine Learning Developer

Saanichton, BC, Canada

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

Apply on jobs.dayforcehcm.com 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 on jobs.dayforcehcm.com 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

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Jobs in Canada