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Learning Manager Jobs in Quebec (NOW HIRING)

$100 - $130/hr

... manage them. Our powerful, AI infused platform provides full transparency and visibility across ... What you will do Bring deep expertise in machine learning and applied AI, and you are energized by ...

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... learning, Teams Trade Union (If applicable) At Desjardins, we believe in equity, diversity and ... Job Family Management (FG) Unposting Date 2026-07-3

... machine learning? Are you curious about the systems that power information retrieval, index ... Manage and resolve assigned Jira tickets, ensuring timely completion of tasks. * Contribute to real ...

... learning, Teams Trade Union (If applicable) At Desjardins, we believe in equity, diversity and ... Job Family Management (FG) Unposting Date 2026-07-3

... machine learning? Are you curious about the systems that power information retrieval, index ... Manage and resolve assigned Jira tickets, ensuring timely completion of tasks. * Contribute to real ...

Creative and curious, you're not afraid of learning new tools or responsibilities * Strong team ... Have exceptional self-management and proactive communication skills Benefits What we Offer * Impact ...

Creative and curious, you're not afraid of learning new tools or responsibilities * Strong team ... Have exceptional self-management and proactive communication skills Benefits What we Offer * Impact ...

We proudly invest in our employees' learning and growth through our Mentorship Program and our ... About the Associate Property Manager opportunity: Resident Ambassador: As our frontline lead, build ...

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Showing results 1-20

Learning Manager information

See Quebec salary details

$25K

$90.5K

$206.5K

How much do learning manager jobs pay per year?

As of Jul 11, 2026, the average yearly pay for learning manager in Quebec is $90,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $111,000.00 per year, depending on experience, location, and employer.

What does a learning manager do?

A learning manager oversees the development and implementation of training programs within an organization to enhance employee skills and knowledge. They analyze learning needs, design curricula, coordinate training sessions, and evaluate program effectiveness, often using learning management systems (LMS). Strong communication, organizational skills, and knowledge of instructional design are essential for this role.

What qualifications do I need to work in L&D?

Learning Managers typically need a bachelor's degree in education, human resources, or a related field, along with experience in training or instructional design. Certifications such as CPLP or ATD can enhance prospects, and strong communication, organizational, and technological skills are essential for success in L&D roles.

What Is a Learning Manager?

A learning manager creates training opportunities for employees who want to focus on skills development and job advancement. As a learning manager, your duties include assessing the needs of a company or organization, planning training programs, and working with third-party educators to meet the company’s needs. You may also assist employees seeking to change their career path. Qualifications for the job vary depending on employer needs, but you typically need a bachelor’s degree in human resources, business management, or a similar field and relevant work experience.

What are the key skills and qualifications needed to thrive as a Learning Manager, and why are they important?

To thrive as a Learning Manager, you need expertise in instructional design, curriculum development, and adult learning principles, often supported by a degree in education, HR, or related fields. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and assessment platforms is typically required. Strong leadership, communication, and project management skills help Learning Managers effectively lead teams and engage stakeholders. These skills ensure the design and delivery of impactful learning programs that drive organizational growth and employee development.

What is the difference between Learning Manager vs Training Coordinator?

AspectLearning ManagerTraining Coordinator
CredentialsBachelor’s degree in Education, HR, or related field; often requires experience in learning and developmentBachelor’s degree in Business, Education, or related field; certifications like ATD or CPTD are common
Work EnvironmentOversees learning programs across departments, strategic planning, manages teamsCoordinates training sessions, schedules, and logistics, often works directly with trainers and employees
Employer & Industry UsageUsed in corporate, educational, and nonprofit sectors for strategic learning initiativesCommon in corporate settings for organizing and implementing training activities

The Learning Manager focuses on developing and overseeing comprehensive learning strategies, while the Training Coordinator handles the logistics and execution of training sessions. Both roles are essential in employee development but differ in scope and responsibilities.

Are L&D jobs in high demand?

Learning and Development (L&D) jobs are in high demand across various industries as organizations prioritize employee training and skill development. The role often requires strong communication skills and familiarity with e-learning tools, and demand is expected to grow with ongoing digital transformation efforts.

What are the main challenges Learning Managers face when implementing new training programs across multiple departments?

Learning Managers often encounter challenges such as aligning training content with diverse departmental needs, ensuring consistent participation, and measuring the effectiveness of programs across various teams. Coordinating with department heads to customize learning solutions, managing scheduling conflicts, and integrating feedback for continuous improvement are common aspects of the role. Success in this area requires strong communication, project management skills, and the ability to adapt training strategies to different learning styles and business objectives.

What is a Learning Manager?

A Learning Manager is a professional responsible for designing, implementing, and overseeing training and development programs within an organization. They assess learning needs, create educational materials, and ensure that employees have access to the resources required for professional growth. Learning Managers often collaborate with subject matter experts and use various technologies to deliver effective training. Their goal is to enhance workforce skills, improve performance, and support organizational objectives.

What education do you need to be a training manager?

A training manager typically needs a bachelor's degree in education, human resources, business, or a related field. Many employers prefer candidates with experience in training, development, or management, and professional certifications such as CPLP or ATD can enhance prospects.
More about Learning Manager jobs
What are the most commonly searched types of Learning jobs in Quebec? The most popular types of Learning jobs in Quebec are:
What are popular job titles related to Learning Manager jobs in Quebec? For Learning Manager jobs in Quebec, the most frequently searched job titles are:
What cities in Quebec are hiring for Learning Manager jobs? Cities in Quebec with the most Learning Manager job openings:
Infographic showing various Learning Manager job openings in Quebec as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $90,537 per year, or $43.5 per hour.
Machine Learning Engineer - IV (Biometrics)

Machine Learning Engineer - IV (Biometrics)

Jumio

Montreal, QC

Other

Posted 19 days ago


Job description

Machine Learning Engineer - Biometrics (Computer Vision)

We're looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You'll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process.

What You'll Do
  • Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition)
  • Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions.
  • Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX
  • Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps.
  • Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS.
  • Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team.
What We're Looking For
  • Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis.
  • Deep expertise in computer vision and biometrics, especially face recognition.
  • Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact.
  • Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code.
  • Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow.
  • Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS).
Nice to Have
  • Research Publications: Papers in CVPR, ICCV, ECCV, or FG related to face recognition, image quality assessment, or fairness.
  • Large Scale Search: Experience with vector databases (e.g., Milvus, Faiss) and approximate nearest neighbor (ANN) search algorithms.
  • Familiarity with privacy, security, and compliance in biometric systems.
  • Mobile/Edge Experience: Experience porting models to edge or mobile devices utilizing frameworks such as CoreML, LiteRT, and/or TFLite.
  • Synthetic Data: Experience using GANs or diffusion models to generate synthetic faces for training.
  • Strong communication skills.