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Mlops Machine Learning Engineer Jobs in Madison, WI

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs ...

Senior Applied AI Engineer

Middleton, WI · On-site

$127K - $187K/yr

The Senior Applied AI Engineer will design, deploy, and optimize AI systems that power next ... In this role, you'll build the bridge between machine learning models and real-world applications ...

... Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics ...

DevOps Engineer

Madison, WI · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Software Engineer

Madison, WI · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Frontend Engineer

Madison, WI · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Full Stack Engineer

Madison, WI · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Are you interested in applying machine learning or data mining on problems that truly improve ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

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Showing results 1-20

Mlops Machine Learning Engineer information

See Madison, WI salary details

$31.7K

$129.8K

$195K

How much do mlops machine learning engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for mlops machine learning engineer in Madison, WI is $129,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $156,200.00 per year, depending on experience, location, and employer.

Is MLOps harder than DevOps?

MLOps, as a specialized subset of DevOps focused on deploying and maintaining machine learning models, often involves additional challenges such as data management, model versioning, and monitoring. While both require skills in automation, scripting, and cloud environments, MLOps typically demands expertise in machine learning workflows and tools like TensorFlow or PyTorch, making it more complex in certain aspects compared to traditional DevOps.

What does an MLOps Machine Learning Engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

How does an MLOps Machine Learning Engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

What is the difference between Mlops Machine Learning Engineer vs Data Scientist?

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning models in various industries. Their skills in deploying, managing, and scaling machine learning systems, along with knowledge of tools like Docker, Kubernetes, and cloud platforms, make them valuable in the job market.

What engineers make $500,000?

Senior machine learning engineers, including those specializing in MLOps, often reach or exceed $500,000 annually with experience, advanced skills, and in high-demand industries like tech or finance. Compensation can include base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

How much do MLOps engineers make?

MLOps engineers typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, location, and expertise in tools like Kubernetes, Docker, and cloud platforms. Senior roles or those with specialized skills can exceed $180,000 per year.

What are the key skills and qualifications needed to thrive as an MLOps Machine Learning Engineer, and why are they important?

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.
What are popular job titles related to Mlops Machine Learning Engineer jobs in Madison, WI? For Mlops Machine Learning Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Mlops Machine Learning Engineer jobs in Madison, WI look for? The top searched job categories for Mlops Machine Learning Engineer jobs in Madison, WI are:
What cities near Madison, WI are hiring for Mlops Machine Learning Engineer jobs? Cities near Madison, WI with the most Mlops Machine Learning Engineer job openings:
Infographic showing various Mlops Machine Learning Engineer job openings in Madison, WI as of June 2026, with employment types broken down into 63% Full Time, 27% Part Time, 5% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $129,751 per year, or $62.4 per hour.
Assistant, Associate, Or Full Professor In Ai & Machine Learning In Polymeric Materials (rise-ai)

Assistant, Associate, Or Full Professor In Ai & Machine Learning In Polymeric Materials (rise-ai)

University of Wisconsin-Madison

Madison, WI • On-site

Full-time

Posted 24 days ago


University Of Wisconsin-Madison rating

8.2

Company rating: 8.2 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

109th of 537 rated colleges and universities


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Job Category: Faculty
Employment Type: Regular
Job Profile: Professor
Job Summary:
The Department of Materials Science and Engineering at the University of Wisconsin-Madison seeks a new faculty member at any level in the area of artificial intelligence and machine learning (AI and ML) for polymeric materials.
Candidates will have a demonstrated record of academic achievement such as peer-reviewed publications and grant awards appropriate for their career stage, exceptional potential in establishing a world-class research program in artificial intelligence and machine learning combined with expertise in polymeric materials, and a commitment to high-quality and inclusive undergraduate and graduate teaching, learning, and mentoring. Assistant Professor candidates will have a PhD and at least 2 years of relevant research experience. Associate and Full Professor candidates must possess experience and scholarly credentials that meet the tenure standards of the UW-Madison Divisional Committee and the College of Engineering.
This position will emphasize the design, synthesis, characterization, and application of polymer materials. Areas of interest in polymer research include but are not limited to the development of AI/ML for predicting polymer properties and in de novo polymer design, AI-guided design of functional polymers including sequence-controlled polymers, degradable polymers, optoelectronic polymers, macromolecular additives and compatibilizers for blends, composites, resins for additive manufacturing, AI-based soft-materials design, AI/ML enabled synthesis, and AI-enabled high-throughput characterization. Research complementing existing efforts across the College of Engineering in polymer synthesis, polymer upcycling and recycling, biopolymers, the materials science of soft materials, and advanced manufacturing is of particular interest.
The successful candidate will teach and develop undergraduate courses; supervise graduate student research; develop and direct a strong funded research program; participate in departmental and university faculty governance; demonstrate dedication to diversity; and contribute to professional and public service.
Additional Information:
This position is part of the Wisconsin Research, Innovation and Scholarly Excellence (RISE) initiative, specifically the RISE-AI focus area. Through accelerated and strategic faculty hiring, research infrastructure enhancement, interdisciplinary collaboration, and increased student and educational opportunities, RISE addresses complex societal challenges of importance to the state, the nation and world. Building on UW-Madison's strengths, RISE expands the University's successful track record of connecting with communities and industry on collaborative solutions.
Over the next three academic years, UW-Madison will substantially increase current hiring levels, bringing 150 new RISE faculty to campus. Candidates hired through RISE will join a community of scholars working across disciplines, schools and colleges on research, teaching, and outreach endeavors. The community will engage regularly in venues such as seminar series and colloquia to share ongoing projects and identify opportunities to work together. The University will support the community, facilitating access to research infrastructure, and funding to support broad and rich collaboration.
Through the campus RISE hiring initiative and the College of Engineering RISE faculty hiring matching program, the College of Engineering will increase by nearly 50 tenure-track faculty members, representing a more than 20% growth in the total faculty body. The RISE-AI hiring initiative will add 20 new faculty members to this vibrant community in the College of Engineering.
The Department of Materials Science and Engineering in the College of Engineering at UW-Madison enrolls approximately 100 undergraduate students and over 100 MS and PhD graduate students from within the state of Wisconsin and from all over the world. The Department has 23 Primary Faculty, 42 Affiliate Faculty who can serve as advisors of MS&E graduate students, and multiple Teaching Faculty, Emeritus Faculty, and Instructional Staff. UW-Madison is home to world-class, collaborative research efforts across materials, including metals, electronic and optical materials, nanomaterials, advanced manufacturing, polymers and biomaterials. UW-Madison is also home to cutting edge facilities for materials synthesis, characterization, and computation at the department, college, and campus level. Faculty members recruited in this specialty area will have the opportunity to develop collaborative research activities with faculty and staff in the College of Engineering, the College of Letters & Science, other academic units, and in specialized research centers across campus. The University of Wisconsin-Madison has a strong commitment to promoting diversity and engaging in inclusive practices in our learning and research environments. The Department of Materials Science and Engineering and the College of Engineering are committed to increasing the diversity of the campus community and curriculum. Candidates who can contribute to these goals are encouraged to identify their strengths and experiences in these areas.
Madison, Wisconsin, a beautiful city of more than 250,000, has been named on top-10 lists for tech growth centers, and consistently ranks as a top community in which to live, work, and play.
Key Job Responsibilities:
Candidate will teach and develop undergraduate courses; supervise graduate student research; develop and direct a strong funded research program; participate in departmental and university faculty governance; demonstrate dedication to diversity; and contribute to professional and public service.
Department:
  • College of Engineering, Materials Science & Engineering

Compensation:
  • Negotiable - 9 months / ongoing / renewable

Required Qualifications:
  • Candidates will have a demonstrated record of academic achievement such as peer-reviewed publications and grant awards appropriate for their career stage, exceptional potential in establishing a world-class research program in artificial intelligence and machine learning combined with domain expertise in materials science and engineering, and a commitment to high-quality and inclusive undergraduate and graduate teaching, learning, and mentoring. Assistant Professor candidates will have a PhD and at least 2 years of relevant research experience. Associate and Full Professor candidates must possess experience and scholarly credentials that meet the tenure standards of the UW-Madison Divisional Committee and the College of Engineering.

Education:
  • PhD in Materials Science & Engineering or related field by start date and at least 2 years of relevant research experience.

How to Apply:
  • The application should include: 1) a cover letter, 2) a detailed curriculum vitae (CV) with full publication list, 3) a research statement of not more than five pages, and 4) a teaching statement of not more than two pages. The application should describe how the applicant's research and teaching goals fit the solicitation above.
  • Please request three reference letters to be submitted directly by the referees to facultysearch@mse.wisc.edu before the deadline.

Deadline:
  • For full consideration, all materials must be received no later than 11:59pm on January 15, 2026. Applications may be accepted until position is filled.

Contact Information:
Cheryl Harris
Department of Materials Science Engineering
cjharris5@wisc.edu
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal OpportunityEmployer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

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About University of Wisconsin

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The University of Wisconsin, based in Madison, WI, US, functions in the educational industry and is a renowned and respected institution for higher education. Its official website is wisc.edu. Established in 1848, this public research university is recognized globally for its innovative approach to education, research, creativity, and public service. It embodies a strong commitment to academic freedom and academic excellence. As a major contributor to the Wisconsin Idea, it aims to accomplish its mission of generating well-rounded individuals who will contribute substantially to society, the local community, and the global economy.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Madison, WI, US

Year founded

2005