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Machine Learning Intern Jobs in Edmonton, AB (NOW HIRING)

Colliers

Intern

Edmonton, AB · On-site

... Intern. This role offers hands-on experience in financial analysis, data advisory and ... Passionate about learning and ready to tackle challenges in a professional environment. * Must be ...

New

Colliers

Intern

Edmonton, AB · On-site

... Intern. This role offers hands-on experience in financial analysis, data advisory and ... Passionate about learning and ready to tackle challenges in a professional environment. * Must be ...

New

Bird Construction

Learning Specialist

Edmonton, AB · On-site +1

Learning Specialist If you're looking for an opportunity to create meaningful learning experiences that help people perform at their best, Bird Construction has an exciting opportunity for you.

Bird Construction

Learning Specialist

Edmonton, AB · On-site

Learning Specialist At Bird, our Learning & Development team builds the capabilities that keep our people and our projects ahead of what comes next. We're looking for a Learning Specialist who will ...

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Edmonton, AB

Machine Learning Intern information

See Edmonton, AB salary details

$9

$47

$88

How much do machine learning intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for machine learning intern in Edmonton, AB is $47.13, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $52.64 per hour, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

More about Machine Learning Intern jobs

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

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

What cities near Edmonton, AB are hiring for Machine Learning Intern jobs?

Cities near Edmonton, AB with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Edmonton, AB as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,034 per year, or $47.1 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.

#LI-ET1

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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