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Library Science Jobs in Milwaukee, WI (NOW HIRING)

Mindful Measures Inc

Full Stack Developer

Milwaukee, WI · On-site

Expertise in front-end technologies, including JavaScript, CSS3 and HTML5 and third-party libraries ... Bachelor's Degree in Computer Science * 1-2 years of experience * Industry certifications such as ...

Merck Group

Senior Manager, R&D

Milwaukee, WI · On-site

... Libraries (DELs), leveraging this technology to validate high-throughput affinity screens. You will lead a cross-disciplinary sub-team and act as a senior scientific partner to customers, Key Opinion ...

Mindful Measures Inc

Full Stack Developer

Milwaukee, WI · On-site

Expertise in front-end technologies, including JavaScript, CSS3 and HTML5 and third-party libraries ... Bachelor's Degree in Computer Science * 1-2 years of experience * Industry certifications such as ...

Pwc

CTIO - AI Engineer- Senior Manager

Milwaukee, WI · On-site

$91K - $321K/yr

... science initiatives - Innovating processes to enhance data quality and integrity across analytics frameworks - Utilizing programming languages and machine learning libraries to optimize data ...

Gehc

Senior Software Engineer - Digital

Waukesha, WI · On-site

$122K - $161K/yr

Integrate ECG Management system with APIs, cloud services, and third-party libraries. * Participate ... Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math ...

Deloitte

Lead Forward Deployed Engineer - AWS

Milwaukee, WI · On-site

$101K - $133K/yr

Contribute reusable assets including code, prompt libraries, runbooks, and reference ... Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ...

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How much do library science jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for library science in Milwaukee, WI is $15.50, according to ZipRecruiter salary data. Most workers in this role earn between $11.59 and $17.31 per hour, depending on experience, location, and employer.

What is library science?

Library science is the field that deals with the organization, management, and dissemination of information resources within libraries and similar institutions. Professionals in library science are responsible for cataloging books and media, helping patrons locate information, and preserving collections. They may also work with digital resources, data management, and information literacy. The field combines elements of information technology, archival science, and customer service to support education and research.

What are the key skills and qualifications needed to thrive as a library science professional?

To thrive in Library Science, you need a solid grounding in information organization, research, and cataloging, typically supported by a master's degree in library science (MLS or MLIS). Familiarity with integrated library systems (ILS), digital archives, and metadata standards like MARC or Dublin Core is essential. Strong interpersonal skills, customer service orientation, and adaptability help professionals assist diverse patrons and manage changing information needs. These skills are crucial for efficiently organizing resources, facilitating information access, and supporting lifelong learning in a rapidly evolving field.

What are some common challenges faced by professionals in library science, and how can they be addressed?

Library science professionals often encounter challenges such as adapting to rapidly evolving technology, managing diverse patron needs, and navigating budget constraints. Staying current with digital resources and library management systems is essential, as is developing strong communication skills to serve a wide range of users. Proactively engaging in professional development, collaborating with colleagues, and seeking innovative ways to deliver services can help address these challenges while enhancing the value libraries provide to their communities.

What is the difference between Library Science vs Archivist?

AspectLibrary ScienceArchivist
Required CredentialsMaster's degree in Library Science or Information ScienceBachelor's or Master's degree in Archival Studies, History, or Library Science
Work EnvironmentPublic, academic, or special librariesArchives, museums, or historical repositories
Employer & Industry UsageLibraries, educational institutions, government agenciesHistorical societies, museums, government archives
Common Search & ComparisonLibrary Science vs Archivist

Library Science and Archivists both work with information management, but Library Science focuses on organizing and providing access to library resources, while Archivists preserve and manage historical records and documents. Their roles often overlap in information organization, but their environments and specific skills differ.

Are there jobs in library science?

Yes, library science professionals such as librarians, archivists, and library technicians are employed in public, academic, special, and school libraries. These roles often require a master's degree in library science or a related field and involve managing collections, assisting users, and organizing information using library management systems.

Is library science a good career?

Library science is a viable career for individuals interested in managing information, assisting users, and organizing collections. It typically requires a master's degree in library science or information studies and involves skills in technology, cataloging, and research. Job prospects can vary based on location and institutional funding, but the field offers opportunities in public, academic, and special libraries.

What do you do with a library science degree?

A library science degree prepares individuals for careers as librarians, archivists, information specialists, or library technicians. These roles involve managing collections, assisting users, organizing information, and using library management systems. Additional certifications or knowledge of digital resources and cataloging standards are often beneficial.

What are the most commonly searched types of Library Science jobs in Milwaukee, WI?

The most popular types of Library Science jobs in Milwaukee, WI are:

What are popular job titles related to Library Science jobs in Milwaukee, WI?

For Library Science jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Library Science jobs in Milwaukee, WI look for?

The top searched job categories for Library Science jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Library Science jobs?

Cities near Milwaukee, WI with the most Library Science job openings:

Library Science jobs near you
Infographic showing various Library Science job openings in Milwaukee, WI as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $32,249 per year, or $15.5 per hour.

Machine Learning Engineer II

Brookfield, WI • On-site

Milwaukee Tool
See more jobs at Milwaukee Toolexternal

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Techtronic Industries - TTI is a company that values its people and culture as key to its success. The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams
• innovate and explore new machine learning solutions
• demonstrate excellent problem-solving skills
• exhibit critical thinking
• thrive under pressure in a dynamic environment
• show strong technical communication skills
• exercise fundamental project management abilities
• take proactive ownership for projects and tasks
• understand how projects connect to broader initiatives
Qualifications:
Required:
• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
• Completed course work or specialization in Machine Learning and/or Data Science
• At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field
• Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
• Proficient developing and debugging code in Python
• Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
• Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
• Solid mathematical foundation in statistics, linear algebra, calculus and optimization
• Experience working with modern software development tools and version control tools
• Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment.
• Excellent technical communication skills and fundamental project management abilities
• Demonstrated strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field is preferred
• At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
• Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
• Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
• Experience developing and deploying machine learning algorithms to edge environments
• Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models
Company:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .

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