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Artificial Intelligence And Machine Learning Jobs in Alberta

... and machine learning workloads at Exascale? AMD is searching for talented and motivated ... power artificial intelligence and high-performance computing applications on workstations, data ...

Support the development of new decision-making technologies leveraging advanced machine learning, deep learning and artificial intelligence techniques * Engage in hands-on consulting work, including ...

Support the development of new decision-making technologies leveraging advanced machine learning, deep learning and artificial intelligence techniques * Engage in hands-on consulting work, including ...

... artificial intelligence ("AI") and machine learning technologies, to assist recruiters in identifying and prioritizing candidates whose qualifications align with job-related criteria, including ...

New

Senior Software Engineer - Canada

Calgary, AB ยท Remote

CA$120K - CA$150K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one.

Intermediate Spatial Ecologist

Calgary, AB ยท On-site +1

CA$43.90 - CA$60.40/hr

In this role, you will help integrate emerging technologies-including artificial intelligence (AI), machine learning, remote sensing, Earth observation, and cloud-based geospatial analytics-with ...

Intermediate Spatial Ecologist

Calgary, AB ยท On-site +1

CA$43.90 - CA$60.40/hr

In this role, you will help integrate emerging technologies-including artificial intelligence (AI), machine learning, remote sensing, Earth observation, and cloud-based geospatial analytics-with ...

You will design and implement machine learning systems that operate directly on spatial datasets inside The Spatial Cloud, turning raw location and time data into intelligence that applications and ...

Showing results 21-40

Artificial Intelligence And Machine Learning information

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.
What are popular job titles related to Artificial Intelligence And Machine Learning jobs in Alberta? For Artificial Intelligence And Machine Learning jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence And Machine Learning jobs in Alberta look for? The top searched job categories for Artificial Intelligence And Machine Learning jobs in Alberta are:
What cities in Alberta are hiring for Artificial Intelligence And Machine Learning jobs? Cities in Alberta with the most Artificial Intelligence And Machine Learning job openings:
Infographic showing various Artificial Intelligence And Machine Learning job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Application Developer II - Guidewire

Wawanesa Insurance

Edmonton, AB โ€ข Hybrid

CA$80K - CA$105K/yr

Other

Retirement, PTO

Posted 11 days ago


Job description

Job ID:ย 10211ย 


Employment Type:
Existing Roleย 

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work.ย You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Quebec City, QC, Moncton, NB; Dartmouth; NS.ย 

Working Business Language: English. This role is considered a head-office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is English.
ย 

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan.ย 
ย 

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $80,000 - $105,000. Candidates with salary expectations outside of the range are still encouraged to apply.ย 

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada's largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.


Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

Working under moderate supervision, this job contributes to Wawanesa success by maintaining, supporting and enhancing business systems and applications.

Job Responsibilities

  • Design, develop, and test software.
  • Prepare technical specifications from requirements.
  • Maintain the operation of business systems and applications.
  • Diagnose, troubleshoot, and resolve application incidents.
  • Participate in planning activities.
  • Estimate and track progress of assigned work.
  • Create and update relevant documentation.
  • Follow established practices, processes, and guidelines.
  • Keep current with relevant technologies.
  • Perform other duties as assigned.
Qualifications
  • Completion of Post-secondary degree or diploma in software development or equivalent experience.
  • Two years practical experience performing an application development role building software using current programming languages/techniques and working with relational database systems and structured query languages.
  • Detail oriented with analytical and problem-solving skills to recognize and identify issues and take proper action to resolve them.
  • Effective communication skills, with the ability to communicate in a clear and concise manner with style fitting for the audience and message.
  • Knowledge of Artificial Intelligence, machine learning concepts, and AI-assisted software development practices.
  • Strong ability to work collaboratively in a team environment by making quality contributions and supporting fellow team members.
  • Strong organizational skills with the ability to self-manage a fluctuating workload, with various situations and changing priorities.
  • Possesses a willingness to learn while keeping abreast of developments in field and have the ability to apply learning to new situations.
  • Experience using software development tools, such as JIRA, Confluence, Source Code Management and TeamCity is considered an asset.
  • Experience with Unix; Windows; Oracle; Microsoft SQL Server; Java is considered an asset.
  • Certifications in relevant technology is considered an asset.
  • Knowledge and experience in the Insurance industry is considered an asset.


Diversity Equity, Inclusion& Belonging
At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people - this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas.ย 
ย 

We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.
ย 

All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation. ย 
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