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Machine Learning Jobs in Edmonton, AB (NOW HIRING)

Hubbell Incorporated

Sr Research Engineer

Edmonton, AB · On-site

Research activities span sensors, controls, communications, analytics (including machine learning and AI), cloud computing, embedded systems, and electronic and electro-mechanical devices. This work ...

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All JobsMachine Learning JobsMachine Learning Jobs in Edmonton, AB

Machine Learning information

See Edmonton, AB salary details

$108K

$157.7K

$196K

How much do machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning in Edmonton, AB is $157,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $187,500.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

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 Machine Learning jobs in Edmonton, AB?

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

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

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

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Edmonton, AB as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $157,676 per year, or $75.8 per hour.

Intern, Quantitative Analytics & Reporting (Fall 2026)

Alberta Investment Management Corporation

Edmonton, AB • On-site

Full-time

Posted 10 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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