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Machine Learning Jobs in Edmonton, AB (NOW HIRING)

BBA, Inc.

Junior Advisor, Asset Analytics

Edmonton, AB · On-site

Support the development of new decision-making technologies leveraging advanced machine learning, deep learning and artificial intelligence techniques * Engage in hands-on consulting work, including ...

Tackpoint

CNC Machinists -Night Shift Finishing

Edmonton, AB · On-site

CA$30 - CA$38/hr

Our shop houses the most accurate Coordinate Measuring Machine in Canada, a top of the line Super ... Reliable and able to work independently If you are determined to succeed, enjoy learning, and take ...

Promise Robotics

Software Developer

Edmonton, AB

Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras) * Experience with software design and development in a test-driven environment * Being a team player with ...

National Bank

Senior Analyst

Edmonton, AB · On-site

Knowledge of AI and Machine Learning would be an asset. * Excellent analytical skills to identify the causes of risk changes and impact to business and strategy. * Ability to effectively communicate ...

National Bank

Senior Analyst

Edmonton, AB · Hybrid

Knowledge of AI and Machine Learning would be an asset. Excellent analytical skills to identify the causes of risk changes and impact to business and strategy. Ability to effectively communicate the ...

Lantern

Data Architect

Edmonton, AB · On-site

... machine learning. Conducting customer-facing strategic workshops and assessments of existing data platforms to create recommendations on how to best modernize their data platform using the Fabric and ...

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Showing results 21-40

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 Aug 16, 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.

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, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,676 per year, or $75.8 per hour.

Junior Advisor, Asset Analytics

BBA, Inc.

Edmonton, AB

Full-time

Re-posted 10 days ago

Job description

An overviewof your future role

BBA is a leading North American consulting firm that provides a broadrange of services, including engineering and design, digital power systems,in-field testing, analysis and commissioning, asset management and analyticsand advisory services.

BBA has a new opportunity for a Junior Advisoras part of our Power Advisory and Asset Management (PAAM) team. BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists, mathematicians, statisticians, policy-makers and advisors who arecollectively building the next generation of decision-making analytics andplatforms to help organizations make their asset infrastructure more resilientin the face of extreme weather, growing capacity needs and the integration ofnew technologies (e.g., electric vehicles, renewables, data centres). Our worksupports a variety of organizations, including electric GT&D utilities,independent power producers and commercial customers, to avoid potential risksby taking the right actions, with the right assets, at the right time.

This new opportunity will involve a wide rangeof challenging projects in the utility and power sector, along with exposure tothe mining and industrial sectors.

With us, you'll get the opportunity to... 

  • Help deliver decision-making asset analytics, including advanced asset condition assessment and monitoring, risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic analytics
  • Support the delivery of top-down and bottom-up load forecasting for power utilities, large industrial customers and independent power producers
  • Develop asset analytics dashboards, visualizations, digital twins and geospatial visual environments to convey key decision-making messages to asset players
  • Support the development of key performance indicators, metrics and measures to enhance productivity, operations and risk management
  • Support the delivery of regulatory reporting deliverables, including long-term and short-term capital and maintenance investment plans as part of electricity rate filing applications
  • Support the development of business case evaluation (BCE) frameworks to justify and prioritize key investments
  • Perform end-to-end data analytics, including data collection, transformation, analysis, and visualization
  • Support the development of new decision-making technologies leveraging advanced machine learning, deep learning and artificial intelligence techniques
  • Engage in hands-on consulting work, including data analysis, research, stakeholder interviews and preparation of final deliverables
  • Delivery of engagement and contribution (E&C) programs to present key findings from major projects as part of knowledge sharing, client engagement and networking activities

Do your qualities and values match ourcorporate culture?
  • Autonomous
  • Aptitude for self-development
  • Results-driven
  • Excellent communication and soft skills
  • Attention to detail
  • Strong organizational skills
  • Thirst to learn and excel
  • Rigorous and ethical
  • Caring mindset that puts people first

Apply