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Internship Machine Learning Jobs in Edmonton, AB

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Internship Machine Learning information

See Edmonton, AB salary details

$20K

$108.6K

$212.5K

How much do internship machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for internship machine learning in Edmonton, AB is $108,593.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What is an internship machine learning?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an internship machine learning?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What is the difference between Internship Machine Learning vs Data Science Intern?

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the most commonly searched types of Machine Learning jobs in Edmonton, AB?

The most popular types of Machine Learning jobs in Edmonton, AB are:

What are popular job titles related to Internship Machine Learning jobs in Edmonton, AB?

For Internship Machine Learning jobs in Edmonton, AB, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning jobs in Edmonton, AB look for?

The top searched job categories for Internship Machine Learning jobs in Edmonton, AB are:

Internship Machine Learning jobs near you
Infographic showing various Internship Machine Learning job openings in Edmonton, AB as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,593 per year, or $52.2 per hour.

Intern, Quantitative Analytics & Reporting (Fall 2026)

Alberta Investment Management Corporation

Edmonton, AB • On-site

Full-time

Posted 9 days ago

Key responsibilities

  • Develop, maintain, and enhance risk reports and risk metrics to support portfolio risk monitoring and management.

  • Apply quantitative analytical skills to analyze risk outputs, identify patterns and anomalies, and develop insights for investment decision-making.

  • Support the automation and improvement of risk analytics, reporting processes, and data workflows to enhance efficiency, accuracy, and scalability.

Job description

CLOSING DATE:

September 9, 2026OpportunityAre you looking to complement your academic knowledge with professional 'real world' experience? An intern position at AIMCo might be the opportunity for you to gain the experience you need to launch your career while contributing to hundreds of thousands of Albertans' financial security.
Highly successful Interns at AIMCo share many of the same characteristics. They are intellectually curious, diligent and responsible, with a desire to enhance their finance, data, programming and communications skills. They take advantage of their time at AIMCo by building relationships with our talented workforce and each other.
This is a 12-month internship with the possibility of extension.
***Job Posting will expire at 11:59pm MT on September 8, 2026***
The Quantitative Analytics & Reporting team is responsible for developing and maintaining risk analytics, reporting, and actionable insights that support effective investment risk management. Key responsibilities include:
Developing, maintaining, and enhancing official risk reports and risk metrics to support the daily monitoring and management of portfolio risk.
Defining, operating, and continuously improving daily risk workflows executed in partnership with external vendors and the internal Business Technology team.
Establishing, monitoring, and governing analytics production processes managed by the Business Technology team to ensure accuracy, timeliness, and reliability.
Automating reporting processes to improve data quality, operational efficiency, and the breadth of risk analytics available to investment and risk management teams.
Responsibilities

  • Apply strong quantitative analytical skills to analyze risk outputs,identifypatterns and anomalies, and develop insights that support investment decision-making.

  • Contribute to the development, enhancement, and automation of risk analytics, reporting processes, and data workflows to improve efficiency, accuracy, and scalability.

  • Support the production and monitoring of riskmetrics, ensuring thetimelyandaccuratedelivery of risk reports.

  • Identifyopportunities to streamlineprocesses through the application oflatesttechnologies and analytical tools to improve therisk data,analyticsand reporting capabilities

  • Assistin documenting analytical methodologies and operational processes to support governance, knowledge sharing, and process continuity.

Ideal Candidate Qualifications

  • Recent graduate from a quantitative oriented fields such as mathematics, statistics, computer science, data science, quantitativefinanceor a related field. Graduate degree is strongly preferred.

  • Strong technical skillset (SQL, Python,PowerBI, etc.) and passion in developing data-driven analytical solutions.

  • Strong interest in financial markets, investment management, and risk analytics, with a solid foundation in quantitative methodologies and risk management concepts.

  • Curiosity and enthusiasm for learning and applying emerging technologies, including machine learning and artificial intelligence to solve business problems and improve processes.

  • Excellent research, analytical, and problem-solving skills, with the ability to investigate complex issues and develop practical solutions.

  • Exceptional attention to detail and a commitment to producing high-quality,accuratework.

  • Progress toward, or interest in pursuing, professional designations such as CFA or FRM is considered an asset.

Success Measures

By the end of your term, you will have gained practical experience applying programming, quantitative analysis, and emerging technologies to real-world risk management and analytics challenges. You will develop a practical understanding of how investment risk is measured,monitored, and managed within a leading institutional investor, gaining insights that extend well beyond the classroom. Through hands-on work, mentorship, and collaboration with experienced professionals, you will strengthen your technical and analytical capabilities, deepen your knowledge of the investment management industry, and build relationships that support your long-term professional growth.

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Next Steps

We are excited to meet you. Please submit your resume or CV to be considered for this opportunity. Applications are being reviewed on a rolling basis and we will be in touch with any questions.

Final candidates will be asked to undergo a security screening, which includes a credit bureau and a criminal record investigation, the results of which must be acceptable to AIMCo.

ALERT - Be on the lookout for AIMCo career opportunities advertised through third parties that request an application fee or too much information. To verify, all opportunities are posted on aimco.ca/jobs

At AIMCo, we draw upon the differences in who we are, where we come from and the way we think to deliver results for the Albertans who rely on us. We offer an inclusive, modern workplace where well-being is prioritized, and colleagues are enabled to do their best work. Our team members are motivated by our purpose and committed to creating long-term value for our clients and their beneficiaries.

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