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Junior Machine Learning Jobs in Calgary, AB (NOW HIRING)

BBA, Inc.

Junior Advisor, Asset Analytics

Calgary, AB · On-site

BBA has a new opportunity for a Junior Advisoras part of our Power Advisory and Asset Management ... Support the development of new decision-making technologies leveraging advanced machine learning ...

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Targeted Talent

Data Scientist

Calgary, AB · On-site

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

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 ...

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 ...

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

Junior Machine Learning information

See Calgary, AB salary details

$21K

$92.1K

$186K

How much do junior machine learning jobs pay per year?

As of Aug 24, 2026, the average yearly pay for junior machine learning in Calgary, AB is $92,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $129,500.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Calgary, AB?

The most popular types of Machine Learning jobs in Calgary, AB are:

What job categories do people searching Junior Machine Learning jobs in Calgary, AB look for?

The top searched job categories for Junior Machine Learning jobs in Calgary, AB are:

Junior Machine Learning jobs near you

Senior Machine Learning Software Developer (2026-025)

Circle Cardiovascular Imaging Inc

Calgary, AB

Full-time

PTO

Re-posted 13 days ago

Job description

About Circle Cardiovascular Imaging:

Circle's vision is to enable healthier Lives through better imaging by transforming cardiac magnetic resonance imaging (MR) and other advanced imaging technologies to improve Cardiovascular Care. Circle Cardiovascular's 'cvi42' is the Cardiac MR market leader imaging processing software.

Circle Cardiovascular Imaging (Circle) designs, builds, and implements the best-in-class cardiovascular Magnetic Resonance Imaging solutions. At the heart of everything we do is our unrelenting drive to continually offer better solutions for healthcare providers that improve healthcare outcomes. This fuels our creativity, informs our decisions and it is the reason we are passionate about our work and most importantly why we are successful. We are careful stewards of resources focused on optimizing both customer and investor value. We strive to make Circle a place where employees are highly valued, engaged, and have opportunities for professional development. Our roots are medical and digital, our passion is contagious, and our people are amongst the best.


Position Overview:
We are seeking a Senior Machine Learning Software Developer to play a key role in the design, development, and delivery of advanced AI systems for cardiovascular imaging applications. This role is suited for an experienced, self-directed developer with deep expertise in medical image processing, machine learning, and production software development.


The Senior Machine Learning Software Developer will report to the Director, Artificial Intelligence
Development.


General Responsibilities:

  • Design, implement, and deploy high-performance deep learning models for complex biomedical imaging tasks, including 3D medical image segmentation, geometric
    analysis, registration, and related applications.
  • Take ownership of large ML software components or scientific modules, including architecture, implementation, optimization, validation, and integration into production
    workflows.
  • Develop clean, efficient, well-tested code in Python and/or C++, with a strong focus on maintainability, scalability, and software engineering best practices.
  • Work independently on challenging technical problems, evaluate trade-offs, and make recommendations that influence project direction, system design, and implementation strategy.
  • Contribute to high-impact research and development efforts, including work that may lead to publications in peer-reviewed conferences such as MICCAI, ICLR, CVPR or similar venues.
  • Mentor junior developers and researchers on software development practices, ML engineering workflows, medical imaging challenges, and model validation standards.
  • Stay current with advances in medical imaging AI, deep learning, and scientific software development, and introduce relevant methods into the team's technical roadmap.


Required Skills/Experience:

  • 4+ years of post-academic professional experience designing, building, and deploying machine learning systems for biomedical, medical imaging, or related scientific applications.
  • Strong experience with medical imaging data, standards, and workflows, including DICOM and relevant medical imaging libraries or toolkits.
  • Proven ability to architect, implement, and own end-to-end ML systems, from data ingestion and preprocessing through training, validation, deployment, and monitoring.
  • Advanced programming skills in Python and/or C++, with hands-on experience using at least one major deep learning framework such as PyTorch or TensorFlow.
  • Strong understanding of deep learning methods for medical imaging, including segmentation, classification, registration, reconstruction and geometric modeling.
  • Demonstrated ability to work independently on complex technical assignments with minimal supervision.
  • Strong software engineering foundation, including Git-based version control, automated testing, code review, documentation, debugging, and clean code practices.
  • Ability to evaluate the downstream impact of design and implementation choices on other projects, systems, and product teams.
  • Clear communication skills, with the ability to explain technical decisions, trade-offs, and risks to both technical and cross-functional stakeholders.


Preferred Skills/Experience:

  • Experience with scalable ML infrastructure, model serving, experiment tracking, data pipelines, containerization, or MLOps practices.


Educational Requirements:

  • MSc or PhD in Engineering, Applied Mathematics or Computer Science.


About the Benefits:

  • Competitive compensation and vacation
  • Flexible working arrangements
  • Employee Wellness Program
  • Professional development and tuition reimbursement program
  • Gratifying internal recognition/kudos programs
  • Annual salary review - based on company and individual performance
  • Fun, inclusive, ego-free environment where diversity and individual thoughts are encouraged and valued


Upon joining Circle CVI, you will be welcomed into a collaborative and supportive company with uncompromising values on quality, innovation, culture, and customer service. Join us in changing the medical technology world and submit your application below!


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