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Machine Learning Engineer Associate Jobs in 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 ...

Machine Learning Engineer

Calgary, AB · Hybrid

CA$129K - CA$174K/yr

  • Medical

  • Dental

  • Vision

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 ...

Junior Machine Learning Engineer

Calgary, AB · On-site

CA$80K - CA$95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design, development, deployment, and maintenance of AI and machine learning solutions. You will work with data ...

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...

Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning Specialty or better, Google Professional ML Engineer or better, Databricks ML Engineer Associate or ...

Manager, Machine Learning Engineering

Calgary, AB · Remote

CA$181K - CA$272K/yr

  • Medical

  • Dental

  • Vision

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing engineering organization. This role is for someone who is passionate about building innovative solutions ...

Sr. AI Engineer

Calgary, AB · On-site

CA$91K - CA$114K/yr

  • Life

  • Retirement

  • PTO

AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or equivalent) are considered an asset. Compensation: A ...

AI / ML Engineer

Calgary, AB · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a Senior AI/ML Engineer at E Source, you'll play a crucial role in our machine learning engineering team. Collaborating with data scientists and software engineers, you'll contribute to the ...

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... As platform engineers, we are building a next-generation machine learning platform, which ...

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... As platform engineers, we are building a next-generation machine learning platform, which ...

The RoleThe Spatial AI Engineer builds the systems that let AI models, applications, and ... You will design and implement machine learning systems that operate directly on spatial datasets ...

Our team includes machine learning engineers, data engineers, developers, and technical architects with diverse technical backgrounds to ensure successful public cloud project outcomes that drive AI ...

Delivery Engineer - Canada

Calgary, AB · On-site

CA$80K - CA$120K/yr

  • Medical

  • PTO

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Position Overview: We are seeking a Delivery Engineer to join our Delivery team. The ideal ...

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Showing results 1-20

Machine Learning Engineer Associate information

See Calgary, AB salary details

$23K

$125.6K

$215.5K

How much do machine learning engineer associate jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning engineer associate in Calgary, AB is $125,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $164,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Calgary, AB? The most popular types of Machine Learning Engineer jobs in Calgary, AB are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Calgary, AB? For Machine Learning Engineer Associate jobs in Calgary, AB, the most frequently searched job titles are:
Infographic showing various Machine Learning Engineer Associate job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,556 per year, or $60.4 per hour.

Machine Learning Engineer

Viridien

Calgary, AB • On-site

Full-time

Re-posted 11 days ago


Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

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 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. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Strong skills in statistics and programming, as well as knowledge of data science and software engineering. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts to maintain our outstanding leadership position for technology and service delivery in the marketplace.

Must be legally authorized to work in Canada.

Qualifications

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 within one or more of these development languages - 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 experiments.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.

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.