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E Learning Developer Jobs in Alberta (NOW HIRING)

... developer within a delivery-focused team * Strong software engineering fundamentals (TDD, CI/CD, version control, etc.) * Proficiency in at least two programming languages (e.g., Python, Java, C#)

New

Intermediate Structural Engineer

Calgary, AB ยท On-site

CA$85K - CA$110K/yr

Our structural engineers don't just focus on the design of framing elements, they are involved with ... development via e-learning pathways; and financial support for relevant external learning ...

Senior Developer

Calgary, AB ยท On-site

CA$64K - CA$106K/yr

Experience with state management solutions (e.g., Bloc, Riverpod, Provider) * Strong experience ... supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and ...

Developer Advocate, AI Enablement

Calgary, AB 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.

Developer Advocate, AI Enablement

Edmonton, AB 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.

Developer

Calgary, AB ยท On-site +1

... e.g., OpenAI/LLMs, document processing, analytics pipelines) is a strong asset. - Experience ... If you are highly motivated, committed to continual learning, and excited to be a part of a growing ...

Proficiency with Geographic Information Systems (e.g., ArcGIS, QGIS) * Strong experience with ... AI/ML work experience and machine Learning technologies (Python, TensorFlow etc.) * Experience in ...

Coordinates any necessary documentation including drawing approvals with engineering, vendors, and ... Wajax led e-learning, and product training through industry leading manufacturers. * Exclusive ...

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Showing results 1-20

E Learning Developer information

What is an E-Learning Developer job?

An E-Learning Developer is responsible for designing, developing, and implementing online learning materials and courses. They use instructional design principles, multimedia tools, and e-learning software to create engaging and interactive content. Their role often involves collaborating with subject matter experts, graphic designers, and other stakeholders to ensure effective learning experiences. Additionally, they may be responsible for maintaining and updating e-learning content to keep it relevant and accessible.

What Does an eLearning Developer Do?

As an eLearning developer, you design and implement the structure of online courses using eLearning tools, such as instructional software and applications. You take the blueprint for the course, including content that has been created by an instructional developer, and design and code the lessons. Your duties and responsibilities are to make the lessons visually appealing and engaging while effectively conveying the lessons to students or users. As an eLearning developer, you may work for an education company or a company that designs instructional tools and solutions for employee training.

What are the key skills and qualifications needed to thrive in the E Learning Developer position, and why are they important?

To thrive as an E Learning Developer, you need expertise in instructional design, multimedia creation, and a solid understanding of adult learning principles, typically supported by a relevant degree like instructional technology or education. Familiarity with Learning Management Systems (LMS) such as Moodle or Canvas, authoring tools like Articulate Storyline or Adobe Captivate, and experience with SCORM or xAPI standards are highly valuable. Strong project management, creative problem-solving, and effective communication skills help you collaborate and translate complex subjects into engaging online content. These competencies are critical for creating high-quality, impactful learning experiences that meet organizational and learner goals.

What are some common challenges E Learning Developers face in this role?

E Learning Developers often encounter challenges such as adapting content to suit diverse learners, ensuring accessibility compliance, and keeping up with rapidly evolving educational technologies. They may need to collaborate closely with subject matter experts who have varying levels of familiarity with digital tools, making clear communication essential. Managing tight project deadlines while maintaining high engagement and interactivity standards can also be demanding. However, overcoming these common challenges can be highly rewarding, as it directly contributes to the effectiveness and reach of educational programs.

What are popular job titles related to E Learning Developer jobs in Alberta? For E Learning Developer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching E Learning Developer jobs in Alberta look for? The top searched job categories for E Learning Developer jobs in Alberta are:
What cities in Alberta are hiring for E Learning Developer jobs? Cities in Alberta with the most E Learning Developer job openings:
Infographic showing various E Learning Developer job openings in Alberta as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 83% In-person, and 17% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Hays

Calgary, AB โ€ข Hybrid

Other

Posted 2 days ago


Job description

Role: Machine Learning Engineer - Contract

Length: 1 year (potential for extension)

Location: Calgary (Hybrid, 2 days onsite)


Your New Company

Join a leading enterprise organization undergoing a major transformation in its data and AI capabilities. Youโ€™ll be part of a high-performing, collaborative team focused on building scalable machine learning solutions that drive meaningful business impact across the organization.


Your New Role

As a Machine Learning Engineer, you will operate at the intersection of software engineering and advanced machine learningโ€”owning the design, development, and optimization of ML models and data-driven applications.

Key responsibilities include:

  • Participating in team planning sessions and contributing to delivery roadmaps
  • Building and optimizing machine learning models and supporting data pipelines
  • Providing software development expertise to data science and analytics teams
  • Translating business requirements into technical solutions and estimating implementation effort
  • Prototyping and experimenting with new ML solutions
  • Collaborating cross-functionally with architects, product teams, and business stakeholders
  • Designing and implementing model deployment strategies (automation, monitoring, drift detection)
  • Applying software engineering best practices (CI/CD, testing, maintainability) to ML solutions
  • Testing, debugging, and improving application code
  • Conducting code reviews and contributing to engineering excellence across the team


What Youโ€™ll Need to Succeed

Must-Have Qualifications:

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
  • 3+ years of hands-on experience delivering AI/ML solutions in production environments
  • 2+ years of experience as a software developer within a delivery-focused team
  • Strong software engineering fundamentals (TDD, CI/CD, version control, etc.)
  • Proficiency in at least two programming languages (e.g., Python, Java, C#)
  • Hands-on experience with Python data libraries and building solutions in AWS
  • Solid understanding of both relational and non-relational databases (SQL and NoSQL)
  • Strong foundation in statistical concepts and applying data-driven problem solving
  • Experience with DevOps practices, automation, and deployment pipelines
  • Deep understanding of machine learning algorithms, techniques, and agentic/AI-driven solutions
  • Strong testing, debugging, and troubleshooting capabilities
  • Excellent collaboration and communication skills in a team environment

Nice-to-Have:

  • Experience building scalable data pipelines
  • Exposure to frontend/web application development
  • Hands-on experience within the AWS ecosystem
  • Experience working with platforms such as Databricks


What Youโ€™ll Get in Return

  • Opportunity to work on cutting-edge AI/ML and data products at enterprise scale
  • Exposure to modern cloud ecosystems and advanced ML deployment practices
  • Collaborative, high-performing engineering and data teams
  • Competitive compensation and long-term contract opportunity
  • Flexible hybrid working environment


What You Need to Do Now

If youโ€™re a Data Scientist who thrives in a hands-on, engineering-focused ML environment, apply now or reach out directly for a confidential discussion.