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Online Machine Learning Jobs in Alberta (NOW HIRING)

Viridien

Machine Learning Engineer

Calgary, AB

Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data ...

Clio

Machine Learning Engineer

Calgary, AB · Hybrid

CA$152K - CA$174K/yr

We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to ...

Themis Solutions Inc.

Machine Learning Engineer

Calgary, AB · On-site

$129.20 - $174.80/hr

We are seeking a Machine Learning Engineer to join our growing engineering team. This role is open to candidates across Canada (excluding Quebec). Local candidates in Burnaby, Calgary, or Toronto ...

DataVisor

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one.

PCL Construction

Data Science Student

Edmonton, AB · On-site

Train machine learning systems using data annotation and benchmarking techniques. Help your ... online video interview. PCL is an innovative, employee-owned company comprised of people who find ...

AppDirect

Software Developer

Calgary, AB

About You You'll join a small, high-ownership team building the intelligence layer of Tackle's platform - turning machine learning models into real product experiences that customers use every day.

PCL Construction

Data Science Student

Edmonton, AB · On-site

... machine learning modeling. • Train machine learning systems using data annotation and ... online video interview. PCL is an innovative, employee-owned company comprised of people who find ...

PCL Construction

Data Science Student

Edmonton, AB

... machine learning modeling. • Train machine learning systems using data annotation and ... online video interview. PCL is an innovative, employee-owned company comprised of people who find ...

Targeted Talent

Data Scientist

Calgary, AB

$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

Targeted Talent

Data Scientist

Edmonton, AB

$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

Targeted Talent

Data Scientist

Edmonton, AB

$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

Targeted Talent

Data Scientist

Calgary, AB

$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

Mondi AG

Relief Operator Machine Room 1

Hinton, AB

Learning & Development; Events for employees; Health benefits Get in touch: We strive to create a ... Only resumes uploaded onto our online career platform (e.g. www.careers.mondigroup.com) will be ...

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Showing results 1-20

All JobsOnline Machine Learning JobsOnline Machine Learning Jobs in Alberta

Online Machine Learning information

See Alberta salary details

$20.5K

$111.4K

$213K

How much do online machine learning jobs pay per year?

As of Jul 19, 2026, the average yearly pay for online machine learning in Alberta is $111,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or executive role, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What is the difference between Online Machine Learning vs Data Scientist?

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

What engineer makes $500,000 a year?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong domain expertise can earn $500,000 or more annually, especially in high-demand industries like tech and finance. Achieving this level often requires advanced degrees, certifications, and a track record of impactful projects.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

What are the key skills and qualifications needed to thrive as an Online Machine Learning Engineer, and why are they important?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.

Are there remote machine learning jobs?

Yes, many remote machine learning jobs are available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. These roles can be full-time or part-time and may involve collaboration through online platforms and cloud-based environments.

Which 3 jobs will survive AI?

Online machine learning specialists, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require advanced skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and certification in tools like Python, TensorFlow, or cloud platforms enhance job security in this field.
What are the most commonly searched types of Machine Learning jobs in Alberta? The most popular types of Machine Learning jobs in Alberta are:
What cities in Alberta are hiring for Online Machine Learning jobs? Cities in Alberta with the most Online Machine Learning job openings:
Online Machine Learning jobs near you
Infographic showing various Online Machine Learning job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $111,421 per year, or $53.6 per hour.

Machine Learning Engineer

CGG Services (Canada) Inc.

Calgary, AB • On-site

$90 - $120/hr

Other

Posted 12 days ago

Job description

Machine Learning Engineer

Location: Calgary, AB, Canada. Full-time.

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. You will develop machine learning models and retrain systems, contributing ideas and driving innovation to maintain our outstanding leadership position.

Preferred Education
  • Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.
Key Skills & Competencies
  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills in C, C++, R, Java, Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects
  • Effective communication skills to keep all stakeholders regularly informed on progress
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction
Other Skills/Experience
  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development
Responsibilities
  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Provide support to achieve successfully deployed models at conclusion of projects
  • Plan and manage data analysis workflows
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experimentsTrain and retrain systems when necessary
  • Extend existing ML libraries and frameworks
Equal Employment Opportunity

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

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