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Senior Machine Learning Engineer Jobs in Alberta

YO AI Labs

AI/ML Engineer - Remote

Calgary, AB · 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 ...

YO AI Labs

AI/ML Engineer - Remote

Edmonton, AB · 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 ...

Seequent

Senior Research Scientist

Calgary, AB · On-site

... 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 ...

HUB

Data Scientist

Red Deer, AB · On-site

... 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 ...

HUB

Data Scientist

Edmonton, AB · On-site

... 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 ...

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

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 ...

Katalyst Data Management

AI/ML Engineer

Calgary, AB · On-site

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

Johnson Controls

Machine Operator I

Nisku, AB · On-site

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 ...

Johnson Controls

Machine Operator I

Nisku, AB · On-site

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 ...

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 ...

Bird Construction

Learning Specialist

Edmonton, AB · On-site +1

Reporting to the Sr. Manager, Operations Learning, the Operations Learning Specialist partners with ... Working as part of a multidisciplinary team, collaborate with learning specialists, developers ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Alberta

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:

Senior Machine Learning Engineer jobs near you
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.

Sr Research Engineer

Edmonton, AB

Hubbell Incorporated
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees
Learn more about Hubbell Incorporatedexternal

Full-time

Re-posted 25 days ago

Key responsibilities

  • Design, implement, and optimize production-quality software and algorithms for research and commercial applications.

  • Conduct scientific computing experiments, numerical simulations, and technical analyses to support research initiatives.

  • Collaborate with internal teams, business stakeholders, and external experts to solve challenging technical problems.

Hubbell rating

7.0

Company rating: 7.0 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

Job description

Job Overview

Hubbell Research is responsible for conceiving of, maturing, and demonstrating novel technologies to be used throughout Hubbell's extensive product line. Research activities span sensors, controls, communications, analytics (including machine learning and AI), cloud computing, embedded systems, and electronic and electro-mechanical devices. This work requires highly motivated researchers with both breadth and depth across electrical engineering, computer science, mathematics, physics, and applied scientific computing.

The Sr. Research Engineer will contribute to the research, development, implementation, and demonstration of advanced technologies and algorithms related to power systems, analytics, sensing, controls, communications, and distributed computing systems. The successful candidate will be expected to work independently on technical problems, collaborate across disciplines, engage confidently with unfamiliar technical domains, and contribute to the long-term technological direction of Hubbell.


 

A Day In The Life
  • Design, implement, and optimize production-quality software and algorithms for research and commercial applications
  • Conduct scientific computing experiments, numerical simulations, and technical analyses to support research initiatives
  • Develop plots, visualizations, technical reports, and engineering/scientific papers to communicate findings and support decision making
  • Contribute to algorithm development, optimization, and validation efforts
  • Develop and support embedded systems and firmware solutions where required
  • Participate in agile product and research development activities
  • Collaborate with internal teams, business stakeholders, and external experts to solve challenging technical problems
  • Investigate and evaluate new technologies, methodologies, and approaches without requiring direct prompting
  • Present technical concepts, research findings, and recommendations clearly and confidently to technical and non-technical audiences
  • Support Hubbell Research's mission to revolutionize the electrical power industry through advanced technology development


 

What will help you thrive in this role?

Technical skills:

    • 3+ years of work experience in production software development including experience in cloud computing, optimization of algorithms, and consideration/optimization of hardware and software architectures 
    • 4+ years of experience with scientific computing: ability to perform experiments and do numerical calculations, ability to produce plots to help with decisions, and ability to produce technical reports and engineering/scientific papers
    • 4+ years of experience in algorithm development
    • 2+ years of experience in embedded systems and firmware development 
    • 2+ years of agile product development experience
    • Educational background in electrical engineering, mathematics, mathematical/theoretical physics, or mathematical statistics
    • Understanding of probability and statistics
    • Comfort and competence in applied mathematical topics

Soft skills: 

    • Active curiosity and desire to learn new topics
    • Ability and excitement to engage confidently with new contexts well outside of past experience and technical domains
    • Is a self-starter who takes initiative to jump in and take action wherever and whenever a gap or need arises, who looks into new things / new approaches without being prompted or asked
    • Is comfortable asking questions and takes initiative to connect with experts and stakeholders outside of the core team to obtain advice on a new project or initiative
    • Possesses collaborative team spirit with eagerness to support others in tasks and to help them achieve their objectives
    • Has appreciation for and interest in our effort to revolutionize the electrical power industry and to drive the future technological directions of electrical distribution
    • Strong communication skills and ability to present confidently and effectively

Desired skills

    • Understanding of information theory (e.g. an undergraduate or graduate course or work experience that uses that topic)
    • Understanding of data compression (e.g. work experience or an undergraduate/graduate course)
    • Understanding of basic electrical circuits (e.g. RLC circuits)
    • Understanding of basic signal processing (e.g. Fourier transforms)
    • Experience in high-performance computing

Hubbell Incorporated

Hubbell creates critical infrastructure solutions that power our customers, communities, people and the planet. Our company is strategically aligned around enabling grid modernization and electrification. As more products plug in to an aging grid, Hubbell solutions enable the transition to a more reliable, resilient and efficient energy infrastructure. Founded in 1888 our innovation has made us a leading global manufacturer of high quality electrical and utility solutions enabling customers to operate critical infrastructure reliably and efficiently.

The company operates in two segments. Hubbell Utility Solutions (HUS) enable the grid to conduct, communicate and control energy across utility applications and Hubbell Electrical Solutions (HES) are essential to managing power across a wide range of industries and applications. Our vertical market solutions can be applied to markets including Data Centers, Renewables, Commercial Buildings, Industrial, Telecom and Transportation. Supporting both of our business segments is our corporate and Hubbell Unified Business Solutions teams that provide consistent process, tools technologies across our businesses.

We are committed to operating sustainably and ethically while promoting an inclusive and supportive culture for our people to grow and develop in their careers. Our employees proudly work and serve our communities from our headquarters in Shelton, CT, across the United States and around the globe.

Hubbell Unified Business Solutions 

Hubbell Unified Business Services (HUBS) provides corporate shared services to support all businesses across the enterprise. Functional areas include Engineering, Sales, Operations, Marketing, Finance, Legal, IT, Human Resources, Payroll, Environmental Health & Safety, and Compliance. HUBS employees are located around the world.

Hubbell Incorporated, its subsidiaries and affiliates, is an EO Employer AA: M/F/Veteran/Disability. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity or any other protected class.

The above summary of position responsibilities and requirements is not intended, and should not be construed, to be an exhaustive list of duties, skills, efforts, physical requirements, or working conditions associated with the position. It is intended to be an accurate reflection of those principal position elements essential for making decisions related to position performance, employee development, and compensation.

What Hubbell employees say

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Benefits

Hours and flexibility

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About Hubbell

Sourced by ZipRecruiter

Hubbell Incorporated was founded in 1888 and has grown into an international manufacturer of quality electrical, lighting and power solutions with more than 75 brands used and recognized around the world. Our founder, Harvey Hubbell, developed tooling and equipment to serve the growing demand for new assembly and manufacturing machinery during the industrial revolution. An early, and one of many patents awarded, came for the creation of the first practical method to control electricity through the pull chain socket that remains unchanged today. As a market leader in reliable, electrical solutions, we provide more than half a million products delivered through our various business groups. Hubbell is committed to continually innovating solutions that work, transforming old products with new ideas, and ensuring that we Energize, Enlighten and Empower the communities that support us.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Shelton, CT, US

Year founded

1888

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