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Junior Machine Learning Engineer Jobs in Alberta

YO AI Labs

AI/ML Engineer - Remote

Calgary, AB · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

YO AI Labs

AI/ML Engineer - Remote

Edmonton, AB · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Propak Systems Ltd.

Jr. Buyer

Airdrie, AB · On-site

Core Responsibilities Procurement Execution & Commodity Exposure (Learning Focus) * Execute timely ... buyer reports or escalating to Engineering/Drafting for bill of material (BOM) review.

Tetra Tech

Junior Geotechnical Engineer

Lethbridge, AB · On-site

Tetra Tech is adding Junior Geotechnical Engineer to our Geotechnical Engineering team based in ... Learning and development opportunities for ongoing professional growth. Mentorship with world ...

SECURE

Junior Well Operations Engineer

Calgary, AB

... learning, and shared success. Working closely with operations, regulatory, finance, and technical ... A recent engineering degree from an accredited program * 2-4 years of industry experience ...

SECURE

Junior Well Operations Engineer

Calgary, AB

... learning from experienced professionals across the business. Work Environment This role is ... A recent engineering degree from an accredited program * 2-4 years of industry experience ...

Seequent

Senior Data Scientist

Calgary, AB · Hybrid

Problem-solve geoscience challenges using advanced machine learning and AI technologies, including ... Programming and use of tools related to our area of practice such as: Python, PyTorch. * Experience ...

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

Edmonton, 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

Edmonton, 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

$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:

NRG Energy

Data Scientist

Edmonton, AB · On-site

... Engineering, Economics, Operations Research, or related quantitative discipline. * 3+ years of experience in Data Science, advanced analytics, machine learning, forecasting, or related analytical ...

NRG

Data Scientist

Calgary, AB

... Engineering, Economics, Operations Research, or related quantitative discipline. * 3+ years of experience in Data Science, advanced analytics, machine learning, forecasting, or related analytical ...

NRG Energy

Data Scientist

Calgary, AB

... Engineering, Economics, Operations Research, or related quantitative discipline. * 3+ years of experience in Data Science, advanced analytics, machine learning, forecasting, or related analytical ...

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Showing results 41-60

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 Sep 10, 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 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.

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 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 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.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn 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.
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 August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $119,158 per year, or $57.3 per hour.

AI/ML Engineer - Remote

Calgary, AB • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$200 - $350/hr

Full-time

Posted 14 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.