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Master Of Library Science Jobs in Alberta (NOW HIRING)

Strong skills in statistics and programming, as well as knowledge of data science and software ... Experience creating Machine Learning Algorithms and/or Libraries. * Proven experience with deep ...

Environmental Task Manager

Calgary, AB · Hybrid

CA$80K - CA$120K/yr

Master of Science degree in Environmental Engineering, Geology, Environmental Science or related discipline with a professional license (P.Ag., P.Eng., P.Geo., P.Bio. or P.Chem.) Why Arcadis? We can ...

Master's degree in computer science or equivalent experience. * Experience with agent frameworks ... Become part of a team that thinks progressively and works collaboratively. We care about seeing ...

Strong understanding of machine learning and statistical modelling techniques. * Proficiency in Python and common scientific computing libraries. * Strong writing skills, with the ability to draft ...

C++ Developer

Calgary, AB · On-site +1

You Have: * 3 - 5 + years of experience developing with C++ and Python * EDA or FPGA place and route experience * Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in ...

C++ Developer

Calgary, AB · On-site +1

You Have: * 3 - 5 + years of experience developing with C++ and Python * EDA or FPGA place and route experience * Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in ...

You Have: * 3 - 5 + years of experience developing with C++ and Python * EDA or FPGA place and route experience * Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in ...

Nurse Practitioner

Edmonton, AB · On-site

CA$62.74 - CA$72/hr

Master of Science in Nursing Degree supplemented by completion of a recognized Nurse Practitioner Program in the Child Health stream. The NP is responsible for ensuring that his/her registration is ...

You Have: * 3 - 5 + years of experience developing with C++ and Python * EDA or FPGA place and route experience * Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in ...

Scientist - Process Development - Edmonton, Alberta Job Responsibilities: * Responsible for ... manufacturing of chemical substances e.g. Master Batch Collaborates across functional areas ...

The Faculty of Science is internationally recognized for excellence in research and education ... Hands-on experience with as many of the following software tools and libraries as possible: D3JS ...

User Services -Humanities and Social Sciences Library Hours of work : 20 hours per week for 10 weeks (start date TBD) Hourly Rate: $16.70 Job Title: Student Assistant Position Summary: * Conduct ...

Student Assistant

Mclennan, AB · On-site

CA$16.70/hr

User Services -Humanities and Social Sciences Library Hours of work : 20 hours per week for 10 weeks (start date TBD) Hourly Rate: $16.70 Job Title: Student Assistant Position Summary: * Conduct ...

With an unmatched breadth and depth of engineering, advisory and science-based expertise, our ... Are a master of spreadsheets, attention to detail and coordination, not yet having met a challenge ...

With an unmatched breadth and depth of engineering, advisory and science-based expertise, our ... Are a master of spreadsheets, attention to detail and coordination, not yet having met a challenge ...

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Master Of Library Science information

See Alberta salary details

$9

$30

$68

How much do master of library science jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for master of library science in Alberta is $30.75, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $37.50 per hour, depending on experience, location, and employer.

What is the difference between Master Of Library Science vs Archivist?

AspectMaster Of Library ScienceArchivist
Required CredentialsMLS degree, certification often optionalBachelor's or Master's in Archival Studies or related field, certification optional
Work EnvironmentLibraries, information centers, educational institutionsArchives, museums, historical repositories
Industry UsageUsed across public, academic, special librariesPrimarily in historical, cultural, and governmental institutions

The Master Of Library Science and Archivist roles share similar educational backgrounds and work environments focused on information management. However, MLS graduates typically work in libraries serving the public or academic communities, while archivists focus on preserving historical records and artifacts. Both careers require specialized knowledge, but their daily tasks and industry settings differ significantly.

How much can you make with a Master's in library science?

Master of Library Science (MLS) or Master of Library and Information Science (MLIS) holders typically earn between $45,000 and $70,000 annually, depending on experience, location, and work setting. Salaries can be higher for specialized roles or in urban areas, and additional certifications or skills in digital resources may influence compensation.

What is the highest paying library job?

The highest paying library-related position is typically a Library Director or Chief Librarian, especially in large or specialized institutions, with salaries often exceeding $100,000 annually. Advanced degrees, extensive experience, and leadership skills in management and budgeting are key factors for these roles.

Is a Master's in library science useful?

A Master's in Library Science (MLS) is valuable for careers as librarians, archivists, and information specialists, providing specialized knowledge in information management, cataloging, and digital resources. It often enhances job prospects, salary potential, and opportunities to work in various settings such as public, academic, or special libraries.

What is a Master of Library Science degree?

A Master of Library Science (MLS) is a graduate degree that prepares students for professional roles in libraries and information centers. The program typically covers topics such as information organization, research methods, digital libraries, and library management. Graduates can pursue careers as librarians, archivists, or information specialists in public, academic, special, or school libraries. An MLS is often required for librarian certification and advancement in the field. Many programs also offer specializations in areas like youth services, archives, or digital curation.

What other jobs can I do with a masters in library science?

A Master of Library Science degree qualifies individuals for roles such as archivist, information specialist, records manager, digital librarian, or research analyst. These positions often require skills in information organization, cataloging, and familiarity with library management systems or digital tools.

What are the key skills and qualifications needed to thrive as a Master of Library Science, and why are they important?

To thrive as a professional with a Master of Library Science, you need expertise in information organization, research methods, and digital resource management, typically supported by an MLS or MLIS degree. Familiarity with integrated library systems (ILS), cataloging tools like MARC, and digital databases is essential for modern library operations. Strong interpersonal, instructional, and problem-solving skills help librarians engage diverse communities and support information literacy. These competencies are crucial for providing effective access to information, adapting to evolving technologies, and meeting the needs of library users.

What are some common challenges faced by professionals with a Master of Library Science degree in modern library environments?

Professionals with a Master of Library Science degree often face challenges related to adapting to rapidly evolving technology, such as managing digital resources and teaching information literacy skills. Additionally, balancing traditional library responsibilities with new roles in data management, digital archiving, and community engagement can be demanding. Collaboration with IT staff, educators, and community organizations is also increasingly important to meet diverse patron needs and expand library services effectively.
What are popular job titles related to Master Of Library Science jobs in Alberta? For Master Of Library Science jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Master Of Library Science jobs in Alberta look for? The top searched job categories for Master Of Library Science jobs in Alberta are:
Machine Learning Engineer

Machine Learning Engineer

Viridien

Calgary, AB

Full-time

Posted 17 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.