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Junior Machine Learning Engineer Jobs in Calgary, AB

Hays

Data Scientist - Specialist

Calgary, AB · Hybrid

You will design and implement advanced statistical and machine learning models while helping to shape the broader analytics framework and Big Data strategy. You will work closely with Data Engineers ...

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

$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:

BDO Canada

Senior Data Scientist, ASR

Calgary, AB

Build custom machine learning models and natural language processing systems using state-of-the-art ... Proficiency in programming languages such as Python, R, or Scala. Experience with SQL and NoSQL ...

PwC

AI & Advanced Analytics, Senior Manager

Calgary, AB

CA$168K - CA$218K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Royal Bank of Canada

Principal AI Engineer

Calgary, AB · On-site

... in machine learning, has access to rich and massive datasets, and offers the computational ... Apply rigorous engineering practices, including code quality, automated testing, CI/CD, performance ...

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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 15, 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.
Data Scientist - Specialist

Data Scientist - Specialist

Hays

Calgary, AB • Hybrid

Other

Posted 9 days ago

Job description

Role: Data Scientist – Specialist (Contract)

Length: 1 year (potential for extension)

Location: Calgary (Hybrid, 2 days onsite)


Your New Company

An established and highly respected North American enterprise is investing heavily in its Data & Analytics capabilities to drive innovation and business transformation. With a strong focus on modern data platforms, advanced analytics, and scalable AI solutions, the organization is building out a high-impact team focused on delivering enterprise-wide insights and data-driven decision-making.


Your New Role

As a Data Scientist – Specialist, you will play a key leadership role in advancing the organization’s data science and analytics capabilities. You will design and implement advanced statistical and machine learning models while helping to shape the broader analytics framework and Big Data strategy.

You will work closely with Data Engineers, domain experts, and cross-functional stakeholders to build scalable analytical products and deliver value through iterative MVP-based releases.

Key responsibilities include:

  • Designing, developing, and deploying machine learning models and algorithms to drive enterprise analytical products
  • Leading the rollout and adoption of Big Data and advanced analytics capabilities across the business
  • Applying advanced statistical and mathematical techniques to solve complex business problems
  • Partnering with Data Engineers and SMEs to understand raw data, engineer features, and optimize model performance
  • Identifying patterns, anomalies, and optimization opportunities using advanced data science techniques
  • Collaborating with cross-functional teams to deliver scalable, production-ready solutions using agile/MVP methodologies
  • Translating complex analytical findings into clear, actionable insights for business stakeholders through visualizations and storytelling
  • Influencing and promoting data-driven decision-making and analytics maturity across the organization


What You’ll Need to Succeed

  • Strong experience in data science, machine learning, and statistical modeling in enterprise environments
  • Deep expertise in statistical analysis, mathematical modeling, and algorithm development
  • Hands-on experience working with large-scale datasets and modern data platforms (Big Data environments)
  • Strong proficiency in Python (or similar language) and data science libraries
  • Experience working closely with Data Engineering teams on feature engineering and data pipelines
  • Proven ability to deliver end-to-end analytical solutions—from ideation through production
  • Strong stakeholder communication skills with the ability to translate technical findings into business insights
  • Experience working in agile environments and delivering MVP-based product releases
  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field


What You’ll Get in Return

  • Opportunity to work on high-impact enterprise analytics and AI initiatives
  • Exposure to cutting-edge data platforms and advanced data science use cases
  • Collaborative, cross-functional team environment with strong technical leadership
  • Competitive compensation and long-term contract potential
  • A role where you can directly influence organizational data strategy and innovation


What You Need to Do Now

If you’re interested in this opportunity, please apply directly or reach out with your updated resume to learn more.

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