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Machine Learning Jobs in Edmonton, AB (NOW HIRING)

Data Scientist

Edmonton, AB · On-site

$80K - $100K/yr

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Data Scientist

Edmonton, AB · On-site

$80K - $100K/yr

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Build custom machine learning models and natural language processing systems using state-of-the-art techniques. * Leverage tools like TensorFlow, PyTorch, Kubernetes, and Nvidia Triton Servers to ...

Train machine learning systems using data annotation and benchmarking techniques. Help your colleagues assess AI/ML model performance and propose paths for potential improvement. Prepare data ...

Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present insights. • Prepare data sets for visualization and machine learning modeling. • Train machine learning ...

Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present insights. • Prepare data sets for visualization and machine learning modeling. • Train machine learning ...

Machine components using CNC equipment as per document requirements * Set-up and operate machines ... Must be open to continuous learning and improvement Physical requirements * Able to lift to 50lbs

Machine components using CNC equipment as per document requirements * Set-up and operate machines ... Must be open to continuous learning and improvement Physical requirements * Able to lift to 50lbs

Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions, with a focus on telecommunication applications * Business Development: Experience developing new ...

Collaborate with data science teams to implement Machine Learning models for strategic economic analysis and business insights Qualifications What you bring * University degree in Computer Science ...

GCP Professional Machine Learning Engineer Certification * Working knowledge of leveraging Claude in the workflows * Experience with Google Vertex AI or Kubeflow for ML orchestration * Background in ...

Experience with machine learning. * Experience with 3D Rendering. * Experience with embedded SW development Anticipated Start Date: As soon as a suitable candidate is found. This is an open posting ...

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Machine Learning information

See Edmonton, AB salary details

$108K

$157.7K

$196K

How much do machine learning jobs pay per year?

As of Jun 8, 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 job?

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 some 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 the Machine Learning position, and why are they important?

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

MLOps Engineer (Energy) - MLEEAS

NavitasPartners

Leduc, AB

CA$30/hr

Full-time

Posted 3 days ago


Job description

Job Title : MLOps Engineer (Energy)Industry

Energy & Utilities

Position Overview

The MLOps Engineer will establish and manage scalable ML infrastructure, ensuring efficient deployment, monitoring, governance, and lifecycle management of machine learning solutions.

Responsibilities
  • Build ML deployment pipelines.
  • Implement CI/CD for ML systems.
  • Automate model retraining workflows.
  • Monitor model performance and drift.
  • Manage ML infrastructure and environments.
  • Ensure governance and compliance requirements.
Required Skills
  • MLOps
  • Kubernetes
  • Docker
  • MLflow
  • Databricks
  • Azure ML / SageMaker / Vertex AI
  • GitHub Actions
  • Terraform
Preferred Skills
  • Energy Forecasting Models
  • Asset Optimization Models
  • Real-Time Monitoring Systems
Mandatory Experience
  • 5+ years in MLOps or ML Platform Engineering.
  • Must have prior Energy industry experience.


For more details reach at resumes@navitassols.com