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Senior Machine Learning Engineer Jobs in Alberta

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

This is a senior technical enablement and solution-guidance role. You will help define how AI ... Develop and deploy AI and machine learning solutions using modern development and MLOps practices ...

AI/ML Engineer - Remote

Calgary, AB ยท 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 ...

AI/ML Engineer - Remote

Edmonton, AB ยท 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 ...

... Engineer. This role focuses primarily on advancing Seequent Labs' research and prototyping in ... and AI & Machine Learning. * Strong planning skills and the ability to coordinate activities ...

Are committed to continuous learning at the intersection of several industries What you'll do ... Support equipment installations, operation, maintenance, and repairs to ensure that machinery is ...

... engineering, we want someone who can move fluidly across both. You will operate as a senior ... Working knowledge of statistics, machine learning fundamentals, and model evaluation; able to ...

... engineering, we want someone who can move fluidly across both. You will operate as a senior ... Working knowledge of statistics, machine learning fundamentals, and model evaluation; able to ...

Our SimOpti intelligence platform brings AI, machine learning and simulation to power business ... senior level Systems Developer with a strong Java and data expertise to join our team and work ...

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 ...

Monitor, maintain, and optimize machine learning infrastructure, including test environments and ... Partner with Senior AI/ML Engineers to support RAG pipeline development, testing, and ...

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 ...

Showing results 41-60

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 Sep 15, 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 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 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 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 cities in Alberta are hiring for Senior Machine Learning Engineer jobs?

Cities in Alberta with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Alberta as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $165,321 per year, or $79.5 per hour.

Staff Software Engineer

Calgary, AB โ€ข On-site

Royal Bank of Canada
Banking and Credit Intermediationย โ€ขย 10K+ employees

Full-time

Re-posted 23 days ago


Job description

Job Description

What's the opportunity?

We're looking for an experienced Staff Software Engineer who will bring focus and subject-matter expertise around designing and implementing robust, scalable AI services. This is a unique opportunity to grow in the world of AI engineering and work with a team of passionate individuals committed to delivering enterprise grade software solutions for our production AI services.

Your responsibilities include:

  • Designing, building, and optimizing AI services that power the business' AI and ML applications

  • Architecting and implementing software best practices and standards for code quality, performance, and scalability across AI applications

  • Collaborating with infrastructure engineers and machine learning researchers to ensure seamless integration, reliability, and performance of AI applications at scale

  • Leading technical design decisions and system architecture for AI applications and projects, including API design, data models, and integration patterns

  • Building highly scalable, resilient cloud and on-premises software systems for hosting AI services using state-of-the-art technologies

You are an ideal candidate if you have:

  • Strong and relevant experience designing and implementing distributed systems and software architectures for AI services

  • Proven expertise in software engineering practices, including code review, testing, design patterns, and software architecture

  • Hands-on experience building and deploying scalable applications and services using modern frameworks and technologies

  • In-depth knowledge of containerization technologies such as Docker and Kubernetes or OpenShift Container Platform (OCP4)

  • Experience designing and implementing APIs, event-driven, microservices, and service-oriented architectures

  • Strong proficiency in Python and Golang

  • Experience optimizing application performance, implementing caching strategies, and tuning distributed systems

  • Hands-on experience building and deploying applications across hybrid environments on-prem and major cloud environments, such as AWS and Azure

  • Experience designing data access layers and working with databases (both SQL and NoSQL such as MongoDB) in production environments

  • Understanding of machine learning model serving, inference optimization, and ML system design patterns

  • Experience designing and building infrastructure for deploying and managing agentic workflow systems and self-hosted ML models

  • Experience with observability, monitoring, and logging practices to ensure visibility into system behaviour and performance

What's in it for you?

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact from a local-to-global scale

About the AI Group:

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery - ensuring RBC remains at the frontier of AI-enabled value creation.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

#LI-POST

#TECHPJ

Job Skills

AI Ops, Amazon SageMaker, Apache Kafka, Autoscaling, Big Data Management, CI/CD, Datadog, Data Mining, Data Science, Deep Learning, Dynatrace APM, Machine Learning (ML), Microsoft Azure, MLflow, ML Integration, MongoDB, Predictive Analytics, Programming Languages, Python (Programming Language), Red Hat OpenShift

Additional Job Details

Address:

407 8 AVE SW:CALGARY

City:

Calgary

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-04-24

Application Deadline:

2026-09-25

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Employment Type: FULL_TIME