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Machine Intelligence Jobs in Edmonton, AB (NOW HIRING)

As a Manager of Artificial Intelligence, you will lead a team of 10+ AI experts consisting ... AI Expertise: Deep technical knowledge and 3+ years of experience in deploying AI and machine ...

Manage slot machine reservations and promote casino initiatives. * Coach and mentor employees and ... Gateway does not utilize any form of artificial intelligence (AI) in the screening, assessment, or ...

Manage slot machine reservations and promote casino initiatives. * Coach and mentor employees and ... Gateway does not utilize any form of artificial intelligence (AI) in the screening, assessment, or ...

Slot Supervisor

Edmonton, AB · On-site

CA$55K/yr

Manage slot machine reservations and promote casino initiatives. * Coach and mentor employees and ... Gateway does not utilize any form of artificial intelligence (AI) in the screening, assessment, or ...

... intelligence and performance benchmarking system; SmartEquip, an innovative technology platform ... Experience operating heavy machinery. * Able to operate a large 36,000 lbs forklift is an asset.

Must be mechanically inclined and comfortable using various tools and machinery * Must have ... Artificial intelligence (AI) may be used to support the preliminary screening and evaluation of ...

Must be mechanically inclined and comfortable using various tools and machinery * Must have ... Artificial intelligence (AI) may be used to support the preliminary screening and evaluation of ...

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Machine Intelligence information

See Edmonton, AB salary details

$21.5K

$107K

$175.5K

How much do machine intelligence jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine intelligence in Edmonton, AB is $107,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine intelligence engineers, especially those with expertise in deep learning, natural language processing, and large-scale AI systems, can earn $500,000 or more annually. These roles often require advanced degrees, extensive experience, and proficiency with tools like TensorFlow or PyTorch, typically in high-demand industries such as technology and finance.

What is the difference between Machine Intelligence vs Data Scientist?

AspectMachine IntelligenceData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in machine learning or AIDegrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, AI startups; focus on developing algorithms and modelsBusiness environments, analytics firms; focus on data analysis, insights, and modeling
Employer & Industry UsageTech companies, AI research institutions, roboticsFinance, healthcare, marketing, tech industries

Machine Intelligence involves developing algorithms and systems that enable machines to perform tasks that typically require human intelligence. Data Scientists analyze and interpret complex data to inform decision-making. While both roles require knowledge of machine learning, Machine Intelligence focuses on creating intelligent systems, whereas Data Scientists focus on extracting insights from data.

Can I learn ML in 3 months?

Machine Intelligence roles often require a strong understanding of machine learning (ML), which typically takes longer than three months to master fully. However, with intensive study, focusing on core concepts, algorithms, and practical projects, it is possible to gain a foundational understanding within that timeframe, especially if you have prior programming experience and dedicate consistent effort. Building proficiency for a professional role usually involves ongoing learning beyond initial months.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.

Is ML a high paying job?

Machine Learning (ML) roles are generally well-paid due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but many ML positions offer competitive compensation compared to other tech roles.
What cities near Edmonton, AB are hiring for Machine Intelligence jobs? Cities near Edmonton, AB with the most Machine Intelligence job openings:

Manager AI

TELUS

Edmonton, AB • On-site, Remote

Other

Posted 29 days ago


TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 78 rated telecommunications companies


Job description

Join our team and what we'll accomplish together

The Chief AI Office (CAIO) team at TELUS is on a continuous journey towards helping our company become a world-class leader in Artificial Intelligence products and solutions. We achieve this by delivering ML and data analytics capabilities built upon unified scalable platforms, advanced tooling, high-quality data, and fostering a product and platform-oriented culture.
Our AI Accelerator team plays a central role in harnessing the full potential of AI across the company. We act as transformation consultants to help our business unit partners create exponential value through an insight-by-design approach.
As a Manager of Artificial Intelligence, you will lead a team of 10+ AI experts consisting primarily of AI Engineers, complemented by Data Engineers and an AI Project Manager. You will collaborate across business units to ideate, define, and champion opportunities to apply AI insights that drive improved decision-making and stronger business outcomes.

What you'll do
  • Lead and Inspire: Manage and motivate a team of 10+ AI experts, inspiring them to act as intrapreneurs who identify opportunities, take calculated risks, and own the results and impact of their work
  • Strategic Implementation: Drive the development and execution of AI strategies that align with TELUS' objectives, ensuring transformative technologies are implemented at scale
  • AI Initiatives: Spearhead projects in areas such as automated network management, predictive maintenance, optimized operations and targeted investments to improve end-user experience
  • Stakeholder Engagement: Communicate complex AI products and AI-driven insights to unlock new opportunities and drive decision-making
  • Change Management: Facilitate organizational change by operationalizing AI insights and managing transformations through effective change management practices
  • Engineering Excellence: Lead the development and implementation of robust, scalable, and efficient AI solutions following the best MLOps practices
What you bring
  • AI Expertise: Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions, with a focus on telecommunication applications
  • Business Development: Experience developing new strategies and identifying business opportunities that result in efficiencies and financial outcomes
  • Team Leadership: 3+ years of experience in a role guiding and influencing people, with the ability to build and lead a team of 10 AI professionals
  • Business Acumen: Strong understanding of the telecommunication industry and the ability to apply AI solutions to engineering-related challenges
  • Impactful communication: Ability to serve as the primary communication link and provide executive updates on cross-TELUS AI programs
  • Adaptability and Learning Agility: Demonstrated ability to quickly learn and adapt to new financial concepts and apply AI solutions effectively
  • Bachelor's or Master's degree in Engineering, Data Science, Computer Science, or related fields

Work Environment

  • Location: Anywhere in Canada (hybrid or fully remote work arrangement)
  • Collaboration: Work with experts in Brazil and across Canada

Advanced knowledge of English is required because you will most of the time interact in English with external parties (clients, suppliers, candidates, external partners, etc.); interact in English with internal parties (colleagues, internal partners, stakeholders, etc.); and work with IT tools whose interface is only accessible in English as part of this position's main responsibilities given its international scope.