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Machine Learning Jobs in Edmonton, AB (NOW HIRING)

As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and improvement.

In this position, you will be responsible for leading the development and maintenance of machine learning pipelines, including continuous integration, continuous monitoring and continuous deployment ...

As a Machine Learning Specialist on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data ...

Build custom machine learning models and natural language processing systems using state-of-the-art techniques. * Leverage tools like TensorFlow, PyTorch, Kubernetes, and Nvidia Triton Servers to ...

Data Scientist

Edmonton, AB · On-site

$80K - $100K/yr

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Train machine learning systems using data annotation and benchmarking techniques. Help your colleagues assess AI/ML model performance and propose paths for potential improvement. Prepare data ...

Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present insights. • Prepare data sets for visualization and machine learning modeling. • Train machine learning ...

Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present insights. • Prepare data sets for visualization and machine learning modeling. • Train machine learning ...

Machine components using CNC equipment as per document requirements * Set-up and operate machines ... Must be open to continuous learning and improvement Physical requirements * Able to lift to 50lbs

Machine components using CNC equipment as per document requirements * Set-up and operate machines ... Must be open to continuous learning and improvement Physical requirements * Able to lift to 50lbs

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Machine Learning information

See Edmonton, 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 Edmonton, 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 Edmonton, AB? The most popular types of Machine Learning jobs in Edmonton, AB are:
Infographic showing various Machine Learning job openings in Edmonton, AB as of June 2026, with employment types broken down into 3% Internship, 79% Full Time, 10% Part Time, 3% Temporary, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $157,676 per year, or $75.8 per hour.

Full-time

Medical, PTO

Posted 26 days ago


Job description

"Are you a seasoned technical leader ready to guide a high-performing group of ML Educators in crafting world-class AI literacy content? We are seeking a leader with proven experience in building and mentoring top-tier technical teams to serve as a pivotal force in making Canada the world's most AI-literate workforce."Adam Danyleyko, Product Owner - TrainingAbout AmiiAlberta Machine Intelligence Institute (Amii) is one of Canada's three main institutes for artificial intelligence (AI) and machine learning. Our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world's top scientific talent.

Our cross-functional teams collaborate with Alberta-based businesses and organizations to build AI capacity and translate scientific advances into industry adoption and economic impact.About the RoleWe are looking for a seasoned technical leader to guide our high-performing group of ML Educators in crafting world-class AI literacy content. As the Machine Learning Scientist, you will serve as a pivotal force in making Canada the world's most AI-literate workforce, leveraging your proven experience in building and mentoring top-tier technical teams.Reporting to the Product Owner, Training, you will lead the technical and people-management functions essential to Amii's AI literacy mission. You will be responsible for scaling the technical capabilities of the ML Educator team, ensuring the reliability of Amii's world-class training programs through robust leadership, deep subject-matter expertise, and strategic resource allocation.

By fostering excellence in content development and standardizing technical best practices, you will ensure our educational programs remain cutting-edge and impactful, directly advancing our audience's AI literacy journey and enabling them to deploy ethical solutions aligned with the mission of 'AI for good and for all.'The position focuses on achieving excellence in four main accountabilities: Full Cycle People Leadership Machine Learning Expertise Technical Coaching & Mentorship Resource Planning & Project Management Required Skills / ExpertiseKey Responsibilities: Establishes and leads an internal technical Community of Practice (CoP) for ML Educators to share knowledge, discuss complex technical challenges, and standardize best practices across all content Provides regular, structured technical mentorship and coaching for the team of ML Educators, focusing on advanced ML concepts, instructional best practices, and technical teaching methodologies Establishes, documents, and enforces rigorous technical standards for content development, covering code quality, theoretical model explanations, and data usage best practices Liaises with teams across Amii to ensure that AI Literacy materials reflect the most current, relevant, and validated ML and AI methodologies Serves as the final technical review for all AI Literacy materials (e.g., advanced workshops, executive summaries, public talks) to ensure accuracy and integrity Designs and implements quality assurance processes for integrating internal and external technical feedback, ensuring continuous improvement of the content catalogue Identifies, recommends, and approves relevant technical training, certifications, and conferences to proactively ensure the team's skills drive cutting-edge thought and are aligned with Amii's strategic focus Fosters a collaborative and inclusive environment within the ML Educator team, promoting knowledge sharing, peer learning, and continuous technical skill development Reviews and validates all incoming technical training requests to accurately define the necessary scope, technical resource requirements, and realistic delivery timelines in alignment with established best practices for content development Determines and assigns ML Educators to projects based on their specific technical expertise, current workload, and professional development objectives Oversees and tracks project progress against defined milestones for content development (e.g., curriculum design, code sample creation, slide finalization), proactively identifies and mitigates technical or timeline risks Manages the team's technical environment (e.g., cloud access, specialized software, ML tooling) to ensure educators have the necessary, reliable resources to develop and deliver content effectively Enables efficient communication, removes roadblocks, and ensures the team is set up for success in delivering high-quality technical content Provides supervision to junior team members by overseeing and refining their work, and managing approval processes Mentors direct reports on career development and progression, drawing lessons for coaching opportunities Fosters a collaborative work environment by facilitating teamwork and the exchange of ideas among team members Encourages and maintains a problem-solving approach to work while acting as a coach and collaborator Identifies and addresses knowledge gaps, providing solutions or resources to bridge them Functions as a point of escalation for addressing challenges and facilitating the resolution of problems Required Qualifications: Masters in Computer Science with a specialization in Machine Learning or a related field 3 + years of experience directly leading people and teams 3+ years of applied AI experience Proficient in Python, experience in other programming languages i.e. Java or SQL Proficient with machine learning tools and frameworks such as Scikit-learn, Pytorch/Tensorflow, Pandas, Optuna, Wandb, lightgbm/XGBoost, and SciPy Publication record in peer-reviewed academic conferences or relevant journals Ability to explain complex technical concepts clearly to non-technical audiences Thorough understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning Experience with developing and delivering curriculum; designing effective learning exercises, illustrations of technical concepts, training and evaluation tools (nice to have) PMP or PMI-ACP Certificate (nice to have) Attributes and Expectations: Successfully manages multiple competing priorities in a fast-paced environment Works independently and makes informed decisions through a collaborative lens Demonstrates strong interpersonal communication skills, both verbal and written Establishes credibility while influencing team members to achieve common goals Identifies the needs of stakeholders and creates/drives new solutions Able to identify gaps in knowledge and triage their own learning appropriately Leads with resilience, maintaining team performance through challenges and change Exhibits confidence and sound judgment while collaborating with subject matter experts What you'll love about us A professional yet casual work environment that encourages the growth and development of your skills Participate in professional development activities Gain access to the Amii community and events A chance to learn from amazing teammates who support one another to succeed Competitive compensation, including paid time off and flexible health benefits A modern office located in downtown Edmonton, Alberta How to ApplyIf this sounds like the opportunity you've been waiting for, please don't wait for the closing on June 22, 2026 to apply - we're excited to add a new member to the Amii team for this role, and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii.

In your cover letter, please include one professional accomplishment you are most proud of and why.Applicants must be legally eligible to work in Canada at the time of application.Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request.

Any information provided by you for accommodations will be kept confidential and won't be used in the selection process.