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Senior Machine Learning Engineer Jobs in Alberta

Finning

Data Engineer I

Calgary, AB · Hybrid

CA$70K - CA$85K/yr

Work closely with Senior Data Engineers, Architects, and cross-functional teams * Participate in ... Exposure to MLOps, machine learning, or advanced analytics * Experience with IoT, telemetry, or ...

Finning

Data Engineer I

Edmonton, AB · Hybrid

CA$70K - CA$85K/yr

Work closely with Senior Data Engineers, Architects, and cross-functional teams * Participate in ... Exposure to MLOps, machine learning, or advanced analytics * Experience with IoT, telemetry, or ...

Clio

Senior Data Scientist

Calgary, AB · Hybrid

CA$160K - CA$184K/yr

... feature engineering to automated monitoring). Optimize model accuracy using advanced techniques. * Innovate new techniques in statistical analysis, machine learning, and data mining to unlock ...

TELUS

Staff Applied AI/ML Scientist

Edmonton, AB · On-site

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

TELUS

Staff Applied AI/ML Scientist

Calgary, AB · On-site

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

TELUS

Senior Market Intelligence Manager

Calgary, AB · Remote

As a Senior Market Intelligence Manager, you'll be a founding force in establishing a brand new ... Experience with predictive analytics, machine learning, or AI integration within a business ...

Johnson Controls

Machine Operator I

Nisku, AB

Silent-Aire is a technology driven company that designs, engineers and manufactures hyperscale ... Fabrication of piece parts as per schematic under supervision of a Team Lead/Supervisor/Senior ...

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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 1, 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 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 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 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:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Alberta as of May 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $165,321 per year, or $79.5 per hour.
Sr. Technical Project Manager - Client Service Delivery

Sr. Technical Project Manager - Client Service Delivery

DataVisor

Calgary, AB • On-site

CA$120K - CA$170K/yr

Full-time

Medical, PTO

Posted 5 days ago

Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview:
We are seeking a highly skilled technical Project Manager to join the client service team. On one hand this is a client-facing service delivery manger role. The ideal candidate will be managing all client communications and driving overall delivery schedule, be responsible for designing and implementing innovative integration solutions that meet our client's technical and business requirements. This role involves working closely with clients, sales teams, and other stakeholders to ensure successful project outcomes. On another hand, this is a technical delivery role. The candidate will be responsible for driving and managing all engineering threads in order to deliver the project, and conduct technical hands-on work as needed. This is also a technical hands-on role.

Key Responsibilities:

  • Manage and drive client communications throughout the entire delivery, align different client stakeholders, ensure project is delivered successfully without delay.
  • Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes.
  • Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services.
  • Take the project management role to ensure the client onboarding project runs as expected and under control.
  • Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems.
  • Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems.
  • Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings.
  • Conduct presentations and demonstrations of proposed solutions to clients and stakeholders.

Requirements

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a technical Project Manager or in a similar technical role.
  • Strong understanding of software development, system architecture, and integration principles. Strong solutioning skills on Saas platform data integration.
  • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Strong client-facing communication skills and consultant/client management capabilities.
  • Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
  • Creative problem-solving skills and a results-oriented mindset.
  • Knowing auti-fraud in the Financial or internet industry will be a plus.
  • Experience in real-time computing, big data, or machine learning will be a plus.

Benefits

Health Insurance, PTO

The expected base salary range for this role is CAD $120,000 - $170,000 per year, depending on experience, skills, and location. This position may also be eligible for bonus, equity, and benefits.

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