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Machine Learning Jobs in Calgary, AB (NOW HIRING)

TELUS

AI Lead/Developer

Calgary, AB · On-site

Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI * Exceptional communication skills to present technical concepts to finance stakeholders and business leaders ...

TELUS

Manager AI

Calgary, AB · On-site +1

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 ...

Clio

Staff Data Scientist

Calgary, AB · Hybrid

CA$192K - CA$230K/yr

Skills & Qualifications * 8+ years of experience in Data Science, Machine Learning, or a highly quantitative field, with a track record of deploying models that drove significant revenue or cost ...

Amd

Senior Staff Software Development Eng.

Calgary, AB · Hybrid

Responsibilities THE ROLE Do you want to develop math and communication libraries to enable high performance computing and machine learning workloads at Exascale? AMD is searching for talented and ...

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

Our SimOpti intelligence platform brings AI, machine learning and simulation to power business intelligence across complex operations, in any industry. Reporting Structure/Department Reporting to the ...

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All JobsMachine Learning JobsMachine Learning Jobs in Calgary, AB

Machine Learning information

See Calgary, AB salary details

$108K

$157.7K

$196K

How much do machine learning jobs pay per year?

As of Jul 6, 2026, the average yearly pay for machine learning in Calgary, AB is $157,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $187,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are the most commonly searched types of Machine Learning jobs in Calgary, AB? The most popular types of Machine Learning jobs in Calgary, AB are:
Machine Learning jobs near you
AI Lead/Developer

AI Lead/Developer

TELUS

Calgary, AB • On-site

Other

Posted 15 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 80 rated telecommunications companies

Job description

Description

Turn AI Opportunities Into Reality - Lead full-stack development, mentor the next generation of AI engineers, and transform finance operations.

Join our team and what we'll accomplish together

At TELUS, the Finance AI & Automation team drives our transformation into an AI-powered organization. In the AI Lead role, you will identify opportunities and build scalable AI-driven solutions while fostering innovation.

You'll leverage technical expertise in GenAI and cloud architecture to build and maintain scalable, intelligent applications that deliver measurable business value. As a technical leader and mentor, you will be involved in full-stack development and partner with Finance leaders to turn AI opportunities into reality.

What you'll do

  • Architect and develop AI/ML full-stack solutions and proof-of-concepts using GenAI technologies and cloud platforms (GCP/Azure)

  • Design and develop data pipelines, robust APIs that serve as foundations powering AI automations and transformative solutions

  • Facilitate process mapping sessions with finance SMEs to capture decision rules and identify potential solutions

  • Drive successful transitions for AI/ML tools from ideation through pilot to scaled deployment across the enterprise

  • Drive accountability through metrics tracking and transparent stakeholder communication

  • Lead technical design discussions, conduct architecture reviews, and mentor junior developers to foster best practices

Qualifications

What you bring

  • Proven 6-8 years of experience in software development or data management, with at least 4 years of technical leadership or architecting complex solutions

  • Advanced data handling and ETL skills, including Cloud Platforms (GCP, Azure), SQL, Data Modeling, and Cloud Data stores

  • Full stack development skills: Frontend (React, modern JavaScript/TypeScript) and Backend (Python, RESTful APIs)

  • Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI

  • Exceptional communication skills to present technical concepts to finance stakeholders and business leaders in accessible terms

  • Experience facilitating requirement gathering, design sessions, and technical/architectural reviews

  • Degree in Technology, Computer Science, Finance, Business, or a related field


Great-to-haves

  • Cloud certifications (GCP Professional or Azure Solutions Architect)

  • Familiarity with TELUS data platforms, tools, and AI governance frameworks

  • Prior AI squad or transformation initiative experience

What TELUS employees say

Pay

Hours and flexibility

Workplace

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