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Added 29 mins ago
BC
Recreation Therapist
Brant Community Healthcare System
Brantford, ON
- Full-time
…Brantford and Paris, Ontario, we serve with purpose, passion, and a deep commitment to the people who rely on…
Added 1 hour ago
J
Senior Orbit Dynamics & Mission Analysis Engineer
Jobgether
Canada
- Full-time
…recommendations to engineering stakeholders. This opportunity combines deep theoretical expertise with hands-on computational engineering in a technically demanding aerospace environment.…
Added 1 hour ago
HR
Specialist, Designated Beauty Advisor (DBA) - Aesop
Holt Renfrew
Vancouver, BC
- Full-time
The Specialist, Designated Beauty Advisor develops deep, long lasting relationships with customers that lead to an increase in sales, service, and loyalty. The Specialist (DBA) is also…
Added 2 hours ago
J
Senior Orbit Dynamics & Mission Analysis Engineer
Jobgether
Canada
- Full-time
…recommendations to engineering stakeholders. This opportunity combines deep theoretical expertise with hands-on computational engineering in a technically demanding aerospace environment.…
Added 3 hours ago
KB
Contractor Sales-Plumbing Specialist
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St. John's, NL · Greater St. John's Metropolitan Area
- Full-time
A deep understanding of Plumbing fixtures and fittings
Added 3 hours ago
R
Laboratory GxP Systems Specialist II
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Montreal, QC
- Full-time
People are at the center of everything we do, and when it comes to our employees, we make it personal. With a deep sense of purpose, a strong and evolving culture, a competitive and…
Added 3 hours ago
Apple Ads Platform Specialist
Apple
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The Platform Specialist team is essential to our business success. The team combines the ability to analyze data and optimize accounts with the skill of explaining insights to clients in…
Added 3 hours ago
Senior Manager - Capital Markets
EY
Toronto, ON
…culture of excellence and continuous learning, while embedding deep Capital Markets expertise and awareness of emerging trends such as digital assets and regulatory…
Added 4 hours ago
SI
Lead Product Manager, User Acquisition (scribd.com)
Scribd, Inc.
Toronto, ON
- Full-time
The credibility to be a genuine peer to channel experts. You can go deep enough with a paid marketer or an SEO specialist to earn their trust, without needing to run their channel yourself.
Added 4 hours ago
HR
Specialist, Designated Beauty Advisor (DBA) - Aesop
Holt Renfrew
Vancouver, BC
- Full-time
The Specialist, Designated Beauty Advisor develops deep, long lasting relationships with customers that lead to an increase in sales, service, and loyalty. The Specialist (DBA) is also…
Added 5 hours ago
SP
Enterprise/Commercial Account Executive – Data Foundation (MuleSoft + Informatica) or Enterprise/Commercial Account Executive - Informatica Specialist
Salesforce Partner Canada
Toronto, ON
- Full-time
Informatica Account Executive (Specialist AE): You are the deep domain expert for Informatica's Intelligent Data Management Cloud™ (IDMC). Partnering directly with Prime Account Executives,…
Added 5 hours ago
SP
SMB Account Executive – Data Foundation (MuleSoft + Informatica) AE or Informatica Specialist AE (Toronto)
Salesforce Partner Canada
Toronto, ON
- Full-time
Informatica Account Executive (Specialist AE): You are the deep domain expert for Informatica's Intelligent Data Management Cloud™ (IDMC). Partnering directly with Prime Account Executives,…
Added 5 hours ago
MS
AI Platform & Engineering Lead (Hybrid) / Chef(fe), Plateforme et ingénierie de l’IA (hybride)
Morgan Stanley
Montreal, QC
- Full-time
…locally. This is a high-visibility, hands-on role that combines deep technical ownership with the ability to think and operate at scale, while serving as the primary technical partner on…
Added 5 hours ago
S
Senior Data Scientist
Seequent
Calgary, AB · Canada Calgary AB Office
- Full-time
7+ years of research and development experience in machine learning, including deep learning and advanced techniques.
Added 5 hours ago
Manufacturing Engineering
BWXT
Peterborough, ON
We are looking for a Manufacturing Engineering Specialist for our Peterborough, Ontario site. BWXT NEC's Fuel & Fuel Handling group is involved in the design, manufacture, development,…
Added 6 hours ago
RB
Director, Financial Crimes Risk Assessment
Royal Bank of Canada
Toronto, ON
- Full-time
Deep understanding of global financial crime regulatory environment
Added 6 hours ago
R
Director, Financial Crimes Risk Assessment
RBC
Toronto, ON
- Full-time
Deep understanding of global financial crime regulatory environment
Added 6 hours ago
RU
Pump Fitter
Rubix UKII
Grimsby, ON
- Full-time
…and continuous improvement. Whether working onsite or in our specialist facilities, we foster a collaborative, inclusive environment where every voice is valued, and diverse thinking drives…
Added 6 hours ago
GD
Senior Application Architect Manager
Globalfaces Direct
Toronto, ON · North York, ON
- $95,000 to $115,000 CAD / year
- Full-time
Group auto & home Insurance deep discounts through The Cooperators.
Added 6 hours ago
TP
Digital Marketing Lead
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Laval, QC
- Full-time
This is a brand-builder role. Not a campaign manager role, not a channel specialist role. A role for someone who wants to own the digital presence of a brand with real momentum and turn it…
Added 6 hours ago
DI
Sr Specialist, Digital Content (Contract 18 Months)
Definity Insurance Company
Waterloo, ON
- Full-time
Reporting to the Director of Content and Search on our Marketing & Communication team, the Sr. Specialist, Content Marketing will play an instrumental role in our team’s mission to drive…
Added 7 hours ago
AC
Spécialiste Des Contrats/contract Specialist
Aston Carter
Dorval, QC
- $30 to $40 CAD / hour
- Contract
As a Contract Specialist, you will play a key role in developing new sources of supply and establishing strategic alliances. You will be responsible for creating and implementing…
Added 7 hours ago
Member IT Services - Technical Lead- BC Functional
Mohawk Medbuy Corporation (MMC)
Burlington, ON · Toronto, ON
The Technical Lead is a specialist in Microsoft Dynamics 365 Business Central whom leads the design, configuration, optimization, and governance of the Business Central platform. The role…
Added 7 hours ago
RT
Machine Learning Specialist
Redlen Technologies Inc.
Victoria, BC
- $100,000 to $125,000 CAD / year
- Full-time
Evaluate when machine learning or deep learning provides meaningful value over established statistical, signal-processing, or algorithmic approaches.
Added 7 hours ago
MM
Technical Lead - Microsoft Business Central
Mohawk Medbuy Corporation
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Technical Lead is a specialist in Microsoft Dynamics 365 Business Central whom leads the design, configuration, optimization, and governance of the Business Central platform. The role…

Redlen Technologies Inc.

Machine Learning Specialist

Victoria, BC, Canada

$100,000 to $125,000 CAD / year · Full-time

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Job details

Pay: $100,000 to $125,000 CAD / year
Job type: Full-time
Apply by: Apr 24, 2027
Posting language: English
Posted: Oct 26, 2026

Original job description

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

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More about this job

Responsibilities

Develop and validate machine learning, computer vision, image-processing, and time-series solutions for scientific, sensor, manufacturing, and product-performance data. Build reproducible analytical workflows and maintainable software, assess model uncertainty and limitations, and collaborate with multidisciplinary teams to improve defect detection, reliability, and data-driven decisions.

Requirements

Requires approximately five or more years of applied machine learning experience, including work with high-dimensional scientific, sensor, imaging, or time-series data, computer vision, and SQL. Candidates should have strong Python and statistical skills, sound software development practices, and a master’s degree in a quantitative or related field; AWS familiarity is an asset.

Skills

Applied Machine Learning
Python
Computer Vision
Image Processing
Time-Series Analysis
Anomaly Detection
Statistical Analysis
Feature Engineering
Model Validation
SQL
MATLAB
AWS
Deep Learning
Software Development
Data Analysis
Cross-Functional Collaboration

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
Inclusive Workplace Culture

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Computer Vision
Python
NumPy
Pandas
SciPy
Scikit-Learn
OpenCV
Scikit-Image
PyTorch
TensorFlow
MATLAB
SQL
AWS
S3
Athena
Glue
SageMaker
Lambda
ECR
ECS
Time-Series Analysis
Anomaly Detection
Image Processing
Feature Engineering
Model Validation
Statistical Analysis
MLOps
Docker
MLflow

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