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Computer Science Science Jobs in Calgary, AB (NOW HIRING)

Qualifications Preferred Education Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines. Key Skills & Competencies * Passion and aptitude ...

A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Equity + Health Spending Account * Amazing opportunity for ...

A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Equity + Health Spending Account * Amazing opportunity for ...

A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Equity + Health Spending Account * Amazing opportunity for ...

A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Equity + Health Spending Account * Amazing opportunity for ...

A masters degree (MSc) in Computer Science, Software Engineering, or in a scientific field with strong affinity with software development. 23 years experience in software development. Proficiency in ...

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Computer Science Science information

What are the key skills and qualifications needed to thrive as a Computer Scientist, and why are they important?

To thrive as a Computer Scientist, you need strong analytical abilities, programming proficiency, and a solid background in mathematics and algorithms, usually supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), version control systems like Git, and experience using software development tools are typically expected. Critical thinking, problem-solving, and effective teamwork are essential soft skills that help drive innovation and collaboration. These skills and qualities are vital for developing reliable software solutions, advancing research, and adapting to rapidly evolving technology landscapes.

How does a computer scientist typically collaborate with other departments within an organization?

Computer scientists often work closely with teams across various departments such as engineering, product development, data analytics, and IT. Collaboration usually involves gathering requirements, designing algorithms or systems to address business needs, and integrating technical solutions into existing workflows. Effective communication is essential, as computer scientists may need to explain complex concepts to non-technical colleagues and ensure that technical solutions align with overall organizational goals. This interdisciplinary teamwork provides valuable opportunities to expand both technical and soft skills.

What is computer science?

Computer science is the study of computers and computational systems, including their theory, design, development, and application. It encompasses a wide range of topics such as algorithms, data structures, programming languages, software engineering, artificial intelligence, computer architecture, and more. Professionals in this field solve complex problems, create innovative software and hardware solutions, and contribute to technological advancements across industries.

What is the difference between Computer Science Science vs Software Developer?

AspectComputer Science ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science, related fieldsBachelor's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, academia, tech companiesTech companies, startups, corporate IT teams
Employer & Industry UsageUniversities, research institutions, tech firmsSoftware firms, IT departments, app development
Common Search & ComparisonFocuses on theoretical and foundational aspectsFocuses on building and maintaining software applications

Computer Science Science and Software Developer roles share foundational knowledge in programming and computing. However, Computer Science Science emphasizes theoretical research, algorithms, and foundational principles, often in academic or research settings. In contrast, Software Developers focus on designing, coding, and deploying software solutions in practical, industry environments. Both roles require similar educational backgrounds but serve different career paths within the tech industry.

What are popular job titles related to Computer Science Science jobs in Calgary, AB? For Computer Science Science jobs in Calgary, AB, the most frequently searched job titles are:
Infographic showing various Computer Science Science job openings in Calgary, AB as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Machine Learning Engineer

Viridien

Calgary, AB โ€ข On-site

Full-time

Posted 27 days ago


Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Machine Learning Engineer

Calgary, AB, Canada

Full-time

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Strong skills in statistics and programming, as well as knowledge of data science and software engineering. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts to maintain our outstanding leadership position for technology and service delivery in the marketplace.

Must be legally authorized to work in Canada.

Qualifications

Preferred Education

Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.

Key Skills & Competencies

  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries.
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions.
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
  • Effective communication skills to keep all stakeholders regularly informed on progress.
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows.
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.

Other Skills/Experience:

  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development

Responsibilities:

  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions.
  • Research and implement appropriate ML algorithms and tools.
  • Develop machine learning applications according to requirements.
  • Provide support to achieve successfully deployed models at conclusion of projects.
  • Plan and manage data analysis workflows.
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.