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Applied Computing Jobs in Wisconsin (NOW HIRING)

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent ... Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series ... Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc.

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series ... Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc.

Realta Fusion Inc

Computational Scientist

Madison, WI · On-site

Apply high-performance computing models to guide the design of future axisymmetric mirror devices ... Education: PhD in Computer Science, Applied Mathematics, Plasma Physics, or a related field ...

Realta Fusion Inc.

Computational Scientist

Madison, WI · On-site

Apply high-performance computing models to guide the design of future axisymmetric mirror devices ... Education: PhD in Computer Science, Applied Mathematics, Plasma Physics, or a related field ...

Eightelevengroup

Solution Architect

Milwaukee, WI · On-site

$62 - $81.75/hr

Deep understanding of software development, cloud computing (AI, AWS, Azure, GCP), networking, and ... Develop guidelines to ensure that a technological framework is applied across the team, maintain ...

Talent Solutions

Network Engineer III

Janesville, WI · On-site

$70K - $90K/yr

Ensure security standards and best practices are applied. * Configure network services such as ... Unified computing systems * Email and web server environments Knowledge, Skills & Abilities

Manpower

Data Scientist

Milwaukee, WI · On-site

... Applied Statistics, Operations Research, Advanced Analytics, or a closely related field. Technical: Proficiency in SQL and programming techniques and tools (Python, R); Cloud computing platforms:

Manpower Group

Data Scientist

Milwaukee, WI · On-site

... Applied Statistics, Operations Research, Advanced Analytics, or a closely related field. Technical: Proficiency in SQL and programming techniques and tools (Python, R); Cloud computing platforms:

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Applied Computing information

See Wisconsin salary details

$21.2K

$109.8K

$182.7K

How much do applied computing jobs pay per year?

As of Sep 13, 2026, the average yearly pay for applied computing in Wisconsin is $109,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,300.00 and $141,300.00 per year, depending on experience, location, and employer.

What is an applied computing job?

An Applied Computing job involves using computing principles and technologies to solve real-world problems in various industries. Professionals in this field apply software development, data analysis, cybersecurity, and IT management skills to improve business operations and decision-making. These roles can be found in sectors like healthcare, finance, manufacturing, and government, where technology is integrated to optimize processes and drive innovation.

What types of projects or challenges might I encounter in an applied computing role?

In an Applied Computing position, you may work on diverse projects such as developing custom software applications, optimizing business processes with automation, analyzing data for actionable insights, or integrating new technology solutions within existing systems. Challenges often include translating organizational needs into technical requirements, staying current with rapidly evolving technologies, and collaborating closely with stakeholders across departments. You’ll typically collaborate with IT teams, subject matter experts, and sometimes clients to ensure solutions are practical and user-centered. These varied responsibilities keep the role dynamic and provide continual opportunities to expand your technical and professional expertise.

What are the key skills and qualifications needed to thrive in an applied computing position, and why are they important?

To thrive in Applied Computing, you need strong analytical abilities, problem-solving skills, and a solid background in computer science or related disciplines, often supported by a relevant bachelor's or master's degree. Familiarity with programming languages, databases, cloud platforms, and certifications like CompTIA, AWS, or Microsoft Azure is highly beneficial. Strong teamwork, effective communication, and project management skills help you excel in multi-disciplinary settings. These qualities enable professionals to design and implement effective technical solutions to complex, real-world problems across industries.

What can you do with an applied computing degree?

An applied computing degree prepares individuals for roles such as software developer, systems analyst, data analyst, or IT specialist. Graduates can work in software development, network administration, cybersecurity, or data management, often using programming languages, databases, and technical problem-solving skills.

What are popular job titles related to Applied Computing jobs in Wisconsin?

For Applied Computing jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Applied Computing jobs in Wisconsin look for?

The top searched job categories for Applied Computing jobs in Wisconsin are:

Applied Computing jobs near you
Infographic showing various Applied Computing job openings in Wisconsin as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $109,792 per year, or $52.8 per hour.

Senior MLOps Engineer (Remote)

Menomonee Falls, WI • On-site

KOHLS
Retail • 10K+ employees
Learn more about KOHLSexternal

$104K - $144K/yr

Other

Re-posted 16 days ago

Key responsibilities

  • Collaborate with Data Scientists and Engineers to build, deploy, and operate machine learning solutions and pipelines.

  • Design, build, and maintain scalable machine learning infrastructure, including model serving, training environments, and orchestration systems.

  • Support development and maintenance of monitoring, alerting, and automated testing frameworks to ensure system reliability and performance.

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,484 frontline employees who took The Breakroom Quiz

Job description

About the Role

As Senior MLOps Engineer, you will focus on supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem.

What You’ll Do

  • Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling

  • Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency

  • Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation

  • Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle

  • Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development

  • Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure

  • Develop, document, and communicate implementations and best practices across the data science lifecycle

  • Manage and communicate cloud infrastructure costs and budgets to project stakeholders

  • Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps

  • Additional tasks may be assigned

What Skills You Have

Required

  • Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments

  • 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery

  • In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc.

  • Extensive expertise with CI/CD and 

  • IaC best practices

  • Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL

  • Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)

  • Experience working in Agile environments with an emphasis on iterative development and continuous delivery

Preferred

  • Master’s Degree 

  • Proficiency in Java or other languages

  • Retail experience

  • E-commerce experience

  • 5+ years of experience in Machine Learning

  • Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)

  • Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents

What Kohl's employees say

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