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Internship E Learning Developer Jobs in Ottawa, ON

Programming ability in Python * Solid grounding in machine learning fundamentals * Willingness to ... Coursework, internships, or projects involving anomaly detection, time-series, or behavioral ...

Senior Machine Learning Engineer

Ottawa, ON ยท On-site

CA$84K - CA$128K/yr

Implement CI/CD workflows using tools such as Azure DevOps or GitHub Actions. * Ensure operational ... e.g. Azure Solution Architect. * Strong knowledge of LLM frameworks and libraries (such as ...

Lead Machine Learning Engineer

Ottawa, ON ยท Remote

$225K - $260K/yr

... e.g., video and point cloud data). This includes ensuring data is efficiently loaded, distributed ... Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a ...

Sr. AI Engineer

Ottawa, ON

CA$91K - CA$114K/yr

AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or equivalent) are considered an asset. Compensation: A ...

We are seeking a Senior Electrical Engineer to lead the design and delivery of integrated ... development via e-learning pathways; and financial support for relevant external learning ...

Embedded Software Developer (New Grad)

Ottawa, ON ยท On-site

CA$68K - CA$109K/yr

Experience: Previous internship, co-op, or applied project experience relevant to the role ... Linux user-space software (e.g., applications). * Understanding of CPU hardware architectures ...

Support data preprocessing, embedding, and vector database structuring (e.g., Pinecone, Weaviate ... Foundational knowledge in machine learning and NLP principles * Proficiency in Python and ...

Developer Advocate, AI Enablement

Ottawa, ON ยท On-site +1

CA$93K - CA$141K/yr

Collaborate with Learning & Development to embed AI capability pathways into firm-wide learning ... Familiarity with enterprise AI platforms (e.g., Microsoft Copilot Studio) and governance principles.

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Internship E Learning Developer information

What does an internship e learning developer do?

An Internship E Learning Developer assists in creating, designing, and maintaining online educational content and courses. They work with subject matter experts, instructional designers, and multimedia teams to build interactive learning modules, quizzes, and other digital resources. Interns often use e-learning software, such as Articulate Storyline or Adobe Captivate, and help test courses for quality and usability. This role is ideal for those interested in educational technology, instructional design, and digital content creation.

What are the key skills and qualifications needed to thrive as an internship e learning developer, and why are they important?

To thrive as an Internship E Learning Developer, you need a foundational understanding of instructional design, e-learning principles, and proficiency in digital content creation, often supported by coursework in education or related fields. Familiarity with e-learning authoring tools like Articulate Storyline, Adobe Captivate, and Learning Management Systems (LMS) is typically required. Strong communication, creativity, and attention to detail set candidates apart in developing engaging and effective learning experiences. These skills and qualities are essential for designing interactive, learner-focused modules that meet educational objectives and organizational needs.

What are some typical projects or tasks an internship e learning developer might work on?

As an Internship E-Learning Developer, you'll often be involved in creating interactive online learning modules, assisting with multimedia content development (such as videos or quizzes), and helping to update or maintain existing e-learning platforms. You may also collaborate with instructional designers and subject matter experts to ensure course content is engaging and effective. This role provides hands-on experience with industry-standard authoring tools and learning management systems, making it a great starting point for a career in digital education.

What is the difference between Internship E Learning Developer vs E Learning Specialist?

AspectInternship E Learning DeveloperE Learning Specialist
Required CredentialsTypically pursuing or recent graduate in education, instructional design, or related fieldBachelor's or master's in instructional design, education technology, or related field
Work EnvironmentInternship setting, often in educational or corporate training departmentsFull-time professional role in corporate, educational, or training organizations
Employer & Industry UsageUsed in educational institutions, e-learning companies, and corporate training programsCommon in corporate, higher education, and e-learning service providers

The main difference is that an Internship E Learning Developer is an entry-level, temporary position aimed at gaining experience, while an E Learning Specialist is a full-time professional responsible for designing, developing, and managing e-learning content and programs.

Infographic showing various Internship E Learning Developer job openings in Ottawa, ON as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 27% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Junior Machine Learning Engineer

Providius

Hamilton, ON โ€ข On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 8 days ago


Job description

// About Providius

Providius has been at the forefront of innovation in the Media & Entertainment industry for over a decade, delivering solutions to complex challenges in IP media and IT infrastructure within mission-critical environments.

Headquartered in Hamilton, Ontario, Canada, we are a privately held company focused on building practical, reliable systems that solve real-world problems.

// What We’re Looking For

We’re looking for a junior machine learning engineer to join our team and grow into a strong, hands-on ML engineer.

This is a role for someone early in their career who is eager to learn, comfortable getting their hands dirty with real data, and motivated to build a solid foundation in applied machine learning.

You will work under the direction of senior ML and engineering staff, contributing to real models and pipelines while developing your skills and judgment over time.

// Position Overview

Working closely with senior engineers, you will:

  • implement, train, and evaluate models under guidance
  • prepare and explore real-world data
  • help build and maintain data pipelines
  • support experiments and document results
  • This role is hands-on and engineering-focused.

You will be writing code, working with messy, real-world data, and learning how machine learning systems are built and run in practice.

Over time, as you build experience, you will take on more ownership and tackle increasingly open-ended problems.

// Duties and Responsibilities
  • Implement and train models under the guidance of senior engineers
  • Prepare, clean, and explore datasets, including feature engineering
  • Run experiments, record results, and help interpret findings
  • Build and maintain parts of the data pipeline and supporting tooling
  • Help integrate models into larger systems alongside the team
  • Write clear, testable, and maintainable code
  • Ask good questions, seek feedback, and learn from code review

Requirements

// Required Skills / Experience
  • 0–2 years of experience in machine learning, or strong academic or project experience
  • Programming ability in Python
  • Solid grounding in machine learning fundamentals
  • Willingness to work with real-world, imperfect data
  • Strong problem-solving ability and a desire to learn
  • Ability to take direction and incorporate feedback
  • Clear communication in a team environment
// What this Role Requires
  • Eagerness to learn and grow quickly
  • Comfort working with guidance and asking for help when needed
  • Pragmatism and a willingness to see tasks through
  • Attention to detail and care in the work
  • Ownership of your own learning and contributions
// Nice to haves
  • Coursework, internships, or projects involving anomaly detection, time-series, or behavioral modeling
  • Exposure to streaming or telemetry data
  • Familiarity with common ML libraries and tooling
  • Experience contributing to a shared codebase
// Why join Providius
  • Own a product area with real autonomy and direct impact
  • Work on products that operate in real-time, high-stakes environments
  • Small team with high ownership and a direct line to leadership

Benefits

  • Dental care
  • Extended health care
  • On-site parking
  • Paid time off
  • Vision care