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Learning Manager Jobs in Burnaby, BC (NOW HIRING)

BDO Canada

Senior Machine Learning Engineer

Vancouver, BC

CA$84K - CA$128K/yr

... learning pipelines using Azure and Databricks. The successful candidate will also lead client ... Build and manage scalable data and feature engineering pipelines in Databricks. * Automate model ...

Remitly

Senior Machine Learning Engineer

Burnaby, BC

CA$168K - CA$210K/yr

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money ... As a Senior Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our ...

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SAP

Senior Machine Learning Scientist

Vancouver, BC · On-site

Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. We ... management. As a cloud company with two hundred million users and more than one hundred thousand ...

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Learning Manager information

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.

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.
More about Learning Manager jobs

What are the most commonly searched types of Learning jobs in Burnaby, BC?

The most popular types of Learning jobs in Burnaby, BC are:

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For Learning Manager jobs in Burnaby, BC, the most frequently searched job titles are:

What job categories do people searching Learning Manager jobs in Burnaby, BC look for?

The top searched job categories for Learning Manager jobs in Burnaby, BC are:

What cities near Burnaby, BC are hiring for Learning Manager jobs?

Cities near Burnaby, BC with the most Learning Manager job openings:

Learning Manager jobs near you
Infographic showing various Learning Manager job openings in Burnaby, BC as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Machine Learning Engineer

Starboard Recruitment

Vancouver, BC • On-site

$150K - $170K/yr

Full-time

Re-posted 27 days ago

Job description

Follow Starboard Recruitment on LinkedIn for ongoing job opportunities, market updates and advice: https://www.linkedin.com/company/starboard-recruitment
Opportunity is with one of Canada's fastest growing, well-funded, Series-B tech startups in the AI / ML domain.
Starboard Recruitment, on behalf of our client, is searching for an experienced Sr Machine Learning Engineer.
Our team will reach out to qualified candidates and discuss in further detail.
Key Responsibilities

  • AI Strategy Development – Partner with the Director of R&D to define and execute the company’s AI strategy, focusing on geoscientific applications.

  • Full-Cycle ML Leadership – Manage all aspects of the machine learning lifecycle, from data preprocessing to model deployment and performance monitoring, ensuring a streamlined and effective process.

  • Innovative ML Architectures – Design and implement a broad spectrum of machine learning solutions, spanning computer vision, time series forecasting, and geospatial data analysis, while integrating cutting-edge technologies and methodologies.

  • MLOps Best Practices – Drive the adoption of robust MLOps frameworks, including CI/CD pipelines for ML models, to enable smooth and scalable AI deployments.

  • AI Infrastructure & Optimization – Enhance AI infrastructure and workflows, focusing on performance, scalability, data pipeline efficiency, and automation across all ML processes.

  • Cross-Disciplinary Collaboration – Work closely with data engineers, scientists, and geoscientists to establish a well-integrated, end-to-end ML ecosystem within the company.

  • Continuous AI Advancement – Regularly improve the efficiency, reliability, and impact of AI-driven systems through iterative optimizations and refinements.

  • Geospatial ML Expertise – Familiarity with geospatial databases such as PostGIS and GeoPandas is highly desirable.

Qualifications

Experience:

  • At least 7 years of hands-on experience in machine learning engineering, with a strong record of successfully deploying ML solutions into production environments.

Technical Proficiency:

  • Expert-level Python programming skills and deep knowledge of ML frameworks, including PyTorch, scikit-learn, and inference engines like ONNX Runtime and OpenVINO.

  • Strong grasp of various ML algorithms, architectures, and their real-world applications.

  • Experience working with large-scale datasets and cloud computing environments, particularly AWS.

  • Proficiency in software engineering best practices, version control systems, and CI/CD methodologies.

  • Hands-on experience with containerization, orchestration, and microservices-based architectures.

  • Solid understanding of data security, privacy considerations, and compliance requirements in AI-driven applications.

Leadership & Soft Skills:

  • Proven ability to lead and mentor ML teams through complex projects.

  • Strong analytical and strategic thinking skills to solve challenging AI problems.

  • Exceptional communication skills, capable of conveying technical concepts to both technical teams and executive stakeholders.

  • Strong project management capabilities, with the ability to oversee multiple initiatives simultaneously.

  • Passion for continuous learning and adaptability in the ever-evolving field of machine learning.

Education:

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related discipline. Industry certifications and contributions to the ML community (such as research publications or open-source projects) are a strong plus.

Follow Starboard Recruitment on LinkedIn for ongoing job opportunities, market updates and advice: https://www.linkedin.com/company/starboard-recruitment