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Junior Machine Learning Engineer Jobs in Calgary, AB

TELUS

L4 Technical Professional

Calgary, AB

You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep ...

Royal Bank of Canada

Staff AI/ML Engineer

Calgary, AB · On-site +1

Staff AI/ML Engineer What's the opportunity? We're looking for a seasoned Staff AI/ML Engineer to ... In this role you will own the end-to-end lifecycle of machine learning systems-from experimentation ...

DataVisor

Delivery Engineer - Canada

Calgary, AB · Remote

CA$80K - CA$120K/yr

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 ...

DataVisor

Delivery Engineer - Canada

Calgary, AB · On-site

CA$80K - CA$120K/yr

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 ...

Halliburton

Software Engineer - Landmark

Calgary, AB · On-site

Mentor junior engineers through code reviews, pairing, and direct technical guidance Qualifications ... Exposure to integrating machine learning, generative AI, or LLM-based components into application ...

Halliburton

Software Engineer - Landmark

Calgary, AB

Mentor junior engineers through code reviews, pairing, and direct technical guidance Qualifications ... Exposure to integrating machine learning, generative AI, or LLM-based components into application ...

Clio

Senior ML Platform Engineer

Calgary, AB · On-site

CA$182K - CA$209K/yr

We are currently seeking a Senior ML Platform Engineer to join our Engineering team. This role is ... Understanding of machine learning and AI concepts, workflows, and lifecycle management

TELUS

Senior Data Analyst (L4)

Calgary, AB

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 ...

Hatch

Junior Buyer/Expeditor

Calgary, AB

The Junior Buyer/Expeditor, in close co-operation with the engineering and other procurement team ... Work in an exciting environment where you can apply your academic learning on a daily basis

Hatch

Junior Buyer/Expeditor

Calgary, AB · On-site

The Junior Buyer/Expeditor, in close co-operation with the engineering and other procurement team ... Work in an exciting environment where you can apply your academic learning on a daily basis

Royal Bank of Canada

Staff AI Engineer

Calgary, AB · On-site

... and machine learning, has access to rich and massive datasets, and offers the computational ... Collaborating with engineers and AI researchers to architect, build, integrate and deploy AI ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Calgary, AB

Junior Machine Learning Engineer information

See Calgary, AB salary details

$26K

$119.2K

$207.5K

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

As of Jun 14, 2026, the average yearly pay for junior machine learning engineer in Calgary, AB is $119,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $149,000.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
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 job categories do people searching Junior Machine Learning Engineer jobs in Calgary, AB look for? The top searched job categories for Junior Machine Learning Engineer jobs in Calgary, AB are:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Calgary, AB as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,158 per year, or $57.3 per hour.

MLOps Engineer (BFSI) - MLEBAS

NavitasPartners

Calgary, AB

CA$30/hr

Full-time

Posted 9 days ago

Job description

Job Title: MLOps Engineer (BFSI)

Position Overview:
The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models.

Key Responsibilities:

  • Build ML deployment pipelines.
  • Implement CI/CD for machine learning workloads.
  • Automate model retraining and validation.
  • Establish model monitoring and observability.
  • Manage ML infrastructure and environments.
  • Ensure compliance and governance requirements.

Required Skills:

  • MLOps
  • MLflow
  • Kubeflow
  • Docker
  • Kubernetes
  • Python
  • GitHub Actions
  • Azure DevOps
  • Terraform
  • Monitoring Tools

Required Qualifications:

  • Bachelor's degree in Computer Science or related field.
  • 5+ years of MLOps or ML Engineering experience.

Mandatory Industry Experience:

  • Must have prior BFSI experience supporting regulated AI/ML environments, model governance, risk management, fraud analytics, or financial decisioning systems.

For more details reach at resumes@navitassols.com