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Machine Learning Engineer Jobs in Alberta (NOW HIRING)

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

Systems Developer Company Overview Stream Systems (www.streamsystems.ca) is a leading-edge ... Our SimOpti intelligence platform brings AI, machine learning and simulation to power business ...

Halliburton

Software Engineer - Landmark

Calgary, AB

Exposure to integrating machine learning, generative AI, or LLM-based components into application features * Experience mentoring less experienced engineers Energy industry experience is not required ...

Halliburton

Software Engineer - Landmark

Calgary, AB

Exposure to integrating machine learning, generative AI, or LLM-based components into application features * Experience mentoring less experienced engineers Energy industry experience is not required ...

Hubbell Incorporated

Sr Research Engineer

Edmonton, AB · On-site

Research activities span sensors, controls, communications, analytics (including machine learning ... The Sr. Research Engineer will contribute to the research, development, implementation, and ...

TELUS

AI Lead/Developer

Calgary, AB

... generation of AI engineers, and transform finance operations. Join our team and what we'll ... Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI

TELUS

AI Lead/Developer

Edmonton, AB

... generation of AI engineers, and transform finance operations. Join our team and what we'll ... Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI

University of Alberta

Software Engineer

Edmonton, AB · On-site

Documented coursework in Software Engineering, Machine learning, Algorithms & data structures, AI, Web Development * Hands-on experience with as many of the following software tools and libraries as ...

WSP

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling ... Strong programming skills in Python for data analysis, automation, and visualization.

WSP

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling ... Strong programming skills in Python for data analysis, automation, and visualization.

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Alberta

Machine Learning Engineer information

See Alberta salary details

$64.5K

$143K

$218.5K

How much do machine learning engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for machine learning engineer in Alberta is $142,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about 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 Machine Learning Engineer jobs in Alberta? For Machine Learning Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Alberta look for? The top searched job categories for Machine Learning Engineer jobs in Alberta are:
What are popular job titles related to Machine Learning Engineer jobs in AB? For Machine Learning Engineer jobs in AB, the most frequently searched job titles are:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Alberta as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $142,956 per year, or $68.7 per hour.
Copy of Calgary FT PERM Job Posting Template

Copy of Calgary FT PERM Job Posting Template

Stream Systems Ltd.

Calgary, AB • Hybrid

Full-time

Medical, Dental, Life

Posted 18 days ago

Job description

Senior Developer


Company Overview

Stream Systems (www.streamsystems.ca) is a leading-edge technology company that enables enterprises to optimize and make better decisions. Our SimOpti intelligence platform brings AI, machine learning and simulation to power business intelligence across complex operations, in any industry. Our entire team of talented individuals is growing quickly; we are targeting 50-75% growth over the next fiscal year. At this pivotal moment in the company, we are embarking on new product roadmaps and new development allowing for this role to highly influence the product direction.

Reporting Structure/Department

Reporting to the Software Development Manager, this Senior position is a key role within the Development department that has a direct impact on company technical development goals and success. Your work will directly support and enable the development of our cloud-based platform, simulation models and engines, Artificial Intelligence (AI) / Machine Learning (ML) deployment, and SaaS products.

Position Summary

We’re looking for a Senior Developer to join our team. As a member of a scrum-based development team, you will contribute to the design and development of our platform, utilizing your skills in full-stack development. As a key member of our development team, you will be architecting, designing, estimating, and developing key features and services for our SimOpti platform.

What you’ll be doing

Your role will be to quickly deliver product features efficiently from prototype to production.

  • Working in a fast paced agile cross-functional development team consisting of data and software architects, developers, developers in test, DevSecOPs specialists and product owners

  • Quickly design, develop, and deploy micro-services utilizing Java, Spring, and message queuing.

  • Applying past experiences and knowledge to push the team to speed up product feature delivery.

Requirements

To ensure success in the role, you will need the following:

  • Bachelor’s degree or formal qualifications from an institute of technology in a STEM related discipline, such as Mathematics, Engineering or Computer Science.
  • Expertise in delivering Kubernetes based microservices with event-based messaging patterns.
  • Solid technology experience utilizing Java, Kotlin, Spring, Spring Boot, RabbitMQ & Docker
  • Highly skilled in containerization related to distributed systems and asynchronous environments.
  • Local, hybrid on-premises and AWS cloud-based development & deployment experience
  • Exposure to API design and implementation (AsyncAPI, OpenAPI, GraphQL and RPC)
  • Microservices database design and implementation (PostgreSQL, MongoDB)
  • Jira, Confluence, Bitbucket, and Jenkins are considered assets.

Work environment/Hours/Location

This is a full-time position based on a 40-hour work week located in Calgary. We are driven by objectives, however, not timesheets. Stream’s head office is in Calgary, Alberta. We are happy to provide a hybrid work environment, enabling you to work remotely as required. We encourage a strong collaborative culture and provide workspaces in the office for team collaboration, design, planning sessions and social activities.

Benefits

Company benefits are available to our full-time, permanent employees and include extended health care, dental, long-term disability, AD&D, and life insurance for you and your dependents. The real benefits, in our opinion exist in the ability to become part of a flexible, passionate, and dedicated team where we continue to learn from one another every day. If you love that small-company feel with big-company goals, Stream just might be a fit for you.

Background Screening/Intellectual Property

As a business intelligence and optimization company, we work with a large amount of customer Intellectual Property. Therefore, successful candidates will be required to complete a background check including employment references, education verification and criminal record check.

Come do great things with us!

Apply