1

Senior Machine Learning Engineer Jobs in Edmonton, AB

... Engineering, Economics, Operations Research, or related quantitative discipline. * 3+ years of experience in Data Science, advanced analytics, machine learning, forecasting, or related analytical ...

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 ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Senior Optical Engineer Help advance and integrate proven optical technologies into next-generation ... Our technology blends real‑time computer vision, deep learning, and 3D imaging with ...

Senior Optical Engineer Help advance and integrate proven optical technologies into next-generation ... Our technology blends realtime computer vision, deep learning, and 3D imaging with highprecision ...

Showing results 21-40

Senior Machine Learning Engineer information

See Edmonton, AB salary details

$45K

$165.3K

$248.5K

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

As of Sep 7, 2026, the average yearly pay for senior machine learning engineer in Edmonton, AB 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 job categories do people searching Senior Machine Learning Engineer jobs in Edmonton, AB look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Edmonton, AB are:

What cities near Edmonton, AB are hiring for Senior Machine Learning Engineer jobs?

Cities near Edmonton, AB with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Edmonton, AB as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,321 per year, or $79.5 per hour.

Full-time

Re-posted 23 days ago


Johnson Controls rating

8.0

Company rating: 8.0 out of 10

Based on 416 frontline employees who took The Breakroom Quiz

138th of 545 rated manufacturers


Job description

Join Silent-Aire - Powering the World's Data Centers

Silent-Aire, a division of Johnson Controls, is a global leader in owner equipment manufacturing (OEM) dedicated to providing custom solutions for data center customers. Our product line includes large-scale equipment such as air handling units and modular data centers. We pride ourselves on innovation, quality, and delivering tailored solutions to meet our clients' unique needs.

We currently operate manufacturing facilities in:

  • Edmonton

  • Sherwood Park

  • Nisku

Position Overview

We are seeking a Senior Mechanical Engineer with expertise in data center liquid cooling and air cooling to join our Mechanical Engineering team. As part of the Mechanical Engineering team, your role will be to lead the mechanical systems design as well coordinate across engineering disciplines as the technical project manager.

This position is responsible for directing technical client conversations, overseeing pricing efforts, design development, code reviews, specification compliance, equipment certification, equipment testing, guidance for development of construction documents, support during manufacturing, commissioning, and warranty.

The successful candidate will collaborate with cross-functional teams to review performance components, develop standard operating procedures (SOPs), and implement innovative design solutions.

Key Responsibilities

  • Leadership and Development:Lead and mentor a team of design professionals, fostering collaboration and supporting career growth. Promote a culture of technical excellence and continuous learning.

  • Technical Design:

  • Provide technical design support with a focus on mechanical design engineering. Design custom air handling equipment, MDC and CDU equipment to client specifications. Develop and test completed products.

  • Design liquid cooling systems for data centers including cooling distribution units (CDUs) to client specification. Design of single-phase and two-phase systems. Perform strategic assessment of emerging market demands for diverse liquid cooling solutions, perform code study, develop and test new products.

  • Project Execution:Take a leading role in project execution, including support for estimating, business development, sales, production improvements, and marketing. Lead project teams and mentor Engineers in Training.

  • Product Optimization:Lead testing activities to evaluate and validate design solutions for HVAC units. Promote a culture of continuous improvement by identifying best practices and implementing innovative design solutions.

  • Documentation:Create and maintain comprehensive project documentation, including design submittals, reports, drawings, and Engineering Change Requests. Develop standard operating procedures (SOPs) for design processes and VAVE initiatives.

  • Collaboration:Work closely with cross-functional teams including manufacturing, quality assurance, and supply chain to identify opportunities for cost reduction and performance enhancement. Ensure ongoing compliance with local, national, and international standards and legislation.

Qualifications

  • Bachelor's degree in Mechanical Engineering (BSc. Eng., B.Eng.)

  • Professional Engineering (P.Eng.) designation

  • Minimum of 6 years of experience in mechanical engineering

  • Minimum 4 years of HVAC and refrigeration experience within the data center industry. Experience with both single-phase and two-phase cooling.

  • Experience leading multidisciplinary team members

  • Practical experience with risk management, product design and testing, estimating, and project management

  • Ability to integrate new technologies into machines and converse with multiple departments spanning multiple disciplines

  • Strong work ethic and positive team attitude

Preferred Qualifications

  • Understanding of Electrical, Structural, and Controls engineering

  • Proficiency with AutoCAD, Creo, Revit, and ANSYS

  • Minimum 5 years project management or coordination

  • Knowledge of manufacturing processes and materials

  • Familiarity with industry standards and regulations related to data center equipment

Johnson Controls' Canadian subsidiaries are committed to providing reasonable accommodation to applicants, candidates and employees with disabilities, in accordance with applicable human rights legislation, and in Ontario, in accordance with the Accessibility for Ontarians with Disabilities Act ("AODA"). When requested, accommodation will be provided throughout all stages of the recruitment and selection process. To request accommodation, please contact us. Any information you provide related to accommodation measures will be treated as confidential. A copy of Johnson Controls' applicable AODA policies are available on our website at www.johnsoncontrols.com for your reference, and can be made available in accessible formats upon request.


What Johnson Controls employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Johnson Controls logo

About Johnson Controls

Sourced by ZipRecruiter

Johnson Controls is a world leader in smart buildings, creating safe, healthy and sustainable spaces. For nearly 140 years, we’ve made buildings better and now we’re transforming them again with our award-winning digital technologies and services. We’re using artificial intelligence and data driven solutions to give you deeper insight into your building’s health, sustainability and performance. It’s changing the way we design, operate and maintain indoor environments and driving to a new era of autonomous buildings. We deliver the blueprint of the future for industries such as healthcare, schools, data centers, airports, stadiums, hotels, manufacturing and beyond through OpenBlue, our comprehensive suite of connected solutions. Johnson Controls offers the world’s largest portfolio of building technology, software and services. Supported by a team of more than 100,000 dedicated employees working across 150 countries, we’re helping customers achieve their sustainability goals and power their mission.

Industry

Machinery manufacturing, water transportation, public safety statistics centers and offices and manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US