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Machine Learning Software Engineer Jobs in Alberta

Manager, Machine Learning Engineering

Calgary, AB · Remote

CA$181K - CA$272K/yr

  • Medical

  • Dental

  • Vision

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing ... Demonstrated success in mentorship in software development, particularly using an Agile process and ...

Software Developer

Edmonton, AB · On-site

  • Medical

  • Dental

  • Vision

As a Software Developer, you will work closely with cross-functional teams to design, implement ... Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras)

As a Software Developer, you will work closely with cross-functional teams to design, implement ... Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras)

Exposure to machine learning model integration or building AI-powered product features is an asset ... engineering roles where asking the right questions shapes outcomes. At AppDirect, we believe that ...

Software Engineer II (4749)

Calgary, AB · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Software Engineer II Calgary, AB About the Role LodgeLink is hiring a Software Engineer II in ... for learning new technologies, strong critical-thinking skills, and a user-focused approach to ...

Sr. AI Engineer

Calgary, AB

CA$91K - CA$114K/yr

  • Life

  • Retirement

  • PTO

We do this through the delivery of secure cloud, AI, software and digital workplace solutions that ... AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer ...

Implement and operationalize machine learning models (training, deployment, monitoring) * Work with ... in software engineering, data engineering, or ML engineering * Strong programming and querying ...

The RoleThe Spatial AI Engineer builds the systems that let AI models, applications, and ... You will design and implement machine learning systems that operate directly on spatial datasets ...

We're looking for a Robotics Software Developer to join our team and contribute to developing ... Coursework, research, or side projects involving VLA models, LLMs, or machine learning for robotics.

Delivery Engineer - Canada

Calgary, AB

CA$80K - CA$120K/yr

  • Medical

  • PTO

... software platform is powered by a team of world-class experts in big data, machine learning ... Position Overview: We are seeking a Delivery Engineer to join our Delivery team. The ideal ...

Showing results 21-40

Machine Learning Software Engineer information

See Alberta salary details

$82K

$154.6K

$252.5K

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

As of Aug 19, 2026, the average yearly pay for machine learning software engineer in Alberta is $154,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $187,000.00 per year, depending on experience, location, and employer.

What does a machine learning software engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive as a machine learning software engineer?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

What are popular job titles related to Machine Learning Software Engineer jobs in Alberta?

For Machine Learning Software Engineer jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Machine Learning Software Engineer jobs in Alberta look for?

The top searched job categories for Machine Learning Software Engineer jobs in Alberta are:

What are popular job titles related to Machine Learning Software Engineer jobs in AB?

For Machine Learning Software Engineer jobs in AB, the most frequently searched job titles are:

Infographic showing various Machine Learning Software Engineer job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $154,576 per year, or $74.3 per hour.

Full-time

Medical, PTO

Re-posted 10 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.