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Junior Machine Learning Engineer Jobs in Alberta

BBA, Inc.

Junior Advisor, Asset Analytics

Edmonton, AB · On-site

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... Support the development of new decision-making technologies leveraging advanced machine learning ...

Enfinite

Junior Engineer (EIT)

Calgary, AB · On-site

Role Overview As a Junior Engineer (EIT),you'llplayan important rolein supporting the performance ... Interest in developing processes, improving systems, and learning how operational decisions are ...

Enfinite

Junior Engineer (EIT)

Calgary, AB

Role Overview As a Junior Engineer (EIT),you'llplayan important rolein supporting the performance ... Interest in developing processes, improving systems, and learning how operational decisions are ...

DataVisor

Delivery Engineer - Canada

Calgary, AB

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

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

ML Platform Engineer

Calgary, AB · On-site

CA$152K - CA$174K/yr

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

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

AI Lead/Developer

Edmonton, AB · On-site

Lead technical design discussions, conduct architecture reviews, and mentor junior developers to ... Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Alberta

Junior Machine Learning Engineer information

See Alberta salary details

$26K

$119.2K

$207.5K

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

As of Jul 14, 2026, the average yearly pay for junior machine learning engineer in Alberta 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 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 supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns between $70,000 and $100,000 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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

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 Alberta? The most popular types of Machine Learning Engineer jobs in Alberta are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Alberta? For Junior Machine Learning Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Alberta look for? The top searched job categories for Junior Machine Learning Engineer jobs in Alberta are:
What cities in Alberta are hiring for Junior Machine Learning Engineer jobs? Cities in Alberta with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Alberta as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,158 per year, or $57.3 per hour.

Junior Advisor, Asset Analytics

BBA, Inc.

Edmonton, AB • On-site

Other

Posted 8 days ago

Job description

An overviewof your future role
BBA is a leading North American consulting firm that provides a broadrange of services, including engineering and design, digital power systems,in-field testing, analysis and commissioning, asset management and analyticsand advisory services.
BBA has a new opportunity for a Junior Advisoras part of our Power Advisory and Asset Management (PAAM) team. BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists, mathematicians, statisticians, policy-makers and advisors who arecollectively building the next generation of decision-making analytics andplatforms to help organizations make their asset infrastructure more resilientin the face of extreme weather, growing capacity needs and the integration ofnew technologies (e.g., electric vehicles, renewables, data centres). Our worksupports a variety of organizations, including electric GT&D utilities,independent power producers and commercial customers, to avoid potential risksby taking the right actions, with the right assets, at the right time.
This new opportunity will involve a wide rangeof challenging projects in the utility and power sector, along with exposure tothe mining and industrial sectors.
With us, you'll get the opportunity to... 
  • Help deliver decision-making asset analytics, including advanced asset condition assessment and monitoring, risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic analytics
  • Support the delivery of top-down and bottom-up load forecasting for power utilities, large industrial customers and independent power producers
  • Develop asset analytics dashboards, visualizations, digital twins and geospatial visual environments to convey key decision-making messages to asset players
  • Support the development of key performance indicators, metrics and measures to enhance productivity, operations and risk management
  • Support the delivery of regulatory reporting deliverables, including long-term and short-term capital and maintenance investment plans as part of electricity rate filing applications
  • Support the development of business case evaluation (BCE) frameworks to justify and prioritize key investments
  • Perform end-to-end data analytics, including data collection, transformation, analysis, and visualization
  • Support the development of new decision-making technologies leveraging advanced machine learning, deep learning and artificial intelligence techniques
  • Engage in hands-on consulting work, including data analysis, research, stakeholder interviews and preparation of final deliverables
  • Delivery of engagement and contribution (E&C) programs to present key findings from major projects as part of knowledge sharing, client engagement and networking activities

Do your qualities and values match ourcorporate culture?
  • Autonomous
  • Aptitude for self-development
  • Results-driven
  • Excellent communication and soft skills
  • Attention to detail
  • Strong organizational skills
  • Thirst to learn and excel
  • Rigorous and ethical
  • Caring mindset that puts people first

Apply