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Senior Machine Learning Engineer Jobs in Alberta

Staff AI/ML Engineer What's the opportunity? We're looking for a seasoned Staff AI/ML Engineer to ... In this role you will own the end-to-end lifecycle of machine learning systems-from experimentation ...

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 ...

ML Platform Engineer

Calgary, AB ยท 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 ...

Senior Data Analyst Olsen Consulting specializes in the implementation and optimization of ... and Machine Learning algorithms in a business context - Academic rigor with a propensity for ...

Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras * Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices

Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras * Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices

... and machine learning, has access to rich and massive datasets, and offers the computational ... Collaborating with engineers and AI researchers to architect, build, integrate and deploy AI ...

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Senior Machine Learning Engineer information

See Alberta salary details

$45K

$165.3K

$248.5K

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

As of Jun 24, 2026, the average yearly pay for senior machine learning engineer in Alberta is $165,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $184,000.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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 Senior Machine Learning Engineer jobs in Alberta? For Senior Machine Learning Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Alberta look for? The top searched job categories for Senior Machine Learning Engineer jobs in Alberta are:

Copy of Calgary FT PERM Job Posting Template

Stream Systems Ltd.

Calgary, AB โ€ข Hybrid

Full-time

Medical, Dental, Life

Posted 19 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

Weโ€™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 youโ€™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:

  • Bachelorโ€™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. Streamโ€™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!