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Machine Learning Engineer Jobs in Rolla, MO (NOW HIRING)

Brewer Science

Data Scientist

Rolla, MO · On-site

... machine learning (ML) and/or artificial intelligence (AI) algorithms. • Apply and integrate a ... Brewer Science is a developer and manufacturer of semiconductors and microelectronic devices.

Brewer Science, Inc.

Data Scientist

Rolla, MO · On-site

Design, develop, and optimize advanced statistical models and machine learning (ML) and/or artificial intelligence (AI) algorithms. * Apply and integrate a variety of data pre-processing techniques ...

Brewer Science Inc.

Data Scientist

Rolla, MO · On-site

Design, develop, and optimize advanced statistical models and machine learning (ML) and/or artificial intelligence (AI) algorithms. * Apply and integrate a variety of data pre-processing techniques ...

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Rolla, MO

Machine Learning Engineer information

See Rolla, MO salary details

$31K

$126.6K

$190.2K

How much do machine learning engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for machine learning engineer in Rolla, MO is $126,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $152,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What cities near Rolla, MO are hiring for Machine Learning Engineer jobs?

Cities near Rolla, MO with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Rolla, MO as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $126,597 per year, or $60.9 per hour.

VISITING SCHOLAR - Computer Science #00097618

Rolla, MO • On-site

University of Missouri
Education • 10K+ employees

7.3

Company rating: 7.3 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

363rd of 622 rated colleges and universities

People enjoy working here

Good employer

Recommended by students

Learn more about University of Missouriexternal

Part-time

Retirement

Re-posted 8 days ago

Job description

Hiring Department
Computer Science
Job Description
The Visiting Scholar will be expected to:
  • Investigate deep research challenges in one or more of the above topics withapplications, in collaboration with Dr. Sajal Das and his research group
  • Publish high-quality papers in top-tier journals and peer-reviewed conferences
  • Develop competitive research grant proposals
  • Help mentor graduate and undergraduate students' research

Qualifications
The Visiting Scholar must be well trained in one or more of the following fields: Pervasive Computing, Behavioral Sensing, Intelligence Building via AI and Machine Learning, Edge/Cloud Computing, Cyber-Physical Systems (CPS), Internet of Things (IoT). Having experience in applying these models and techniques to Smart Environments (e.g., Smart health, Smart Homes) will be preferred. Strong background in theory and practice (including hands-on experience in testbed development) is required.
Application Materials
Handling of Application Materials
After initial review by the committee all uploaded materials may be shared with all faculty in the prospective home department. For affiliations and joint appointments materials may be shared with all faculty in all departments involved.
Application Deadline
Applications will be accepted until this position is filled.
Sponsorship Information
Visa Sponsorship Information:
Applicants must be authorized to work in the United States. The University will not sponsor applicants for this position for employment visas.
Community Information
University Information
Missouri S&T is one of the nation's leading research universities with over 100-degree programs in 39 disciplines. It was founded in 1870 as one of the first technological institutions west of the Mississippi River. Located about 100 miles west of St. Louis in the vibrant community of Rolla, Missouri S&T is an accessible, safe, and friendly campus surrounded by Ozarks' scenery. Missouri S&T offers undergraduate degrees in engineering, the sciences, liberal arts, humanities, and business, with M.S. and Ph.D. programs available in many of the science and engineering programs. With over 7,000 students and 300 faculty, Missouri S&T is big enough to accommodate a broad population, yet small enough for individuals to build high visibility and impactful careers.
COLLEGE of ENGINEERING & COMPUTING (CEC)
Missouri S&T's College of Engineering and Computing is the largest of three colleges at S&T, accounting for approximately 80% of the total enrollment (about 4,500 undergraduates and 800 graduate students). The college includes more than 170 ranked faculty members who serve in 16 undergraduate programs, all with master's and doctoral equivalents organized into nine academic departments. The college recently added a bachelor's degree in biomedical engineering and a Ph.D. in bioengineering, both starting in fall 2024. Missouri S&T, supported by the College of Engineering and Computing, is nationally recognized for its career outcomes and ROI.
About Rolla
Rolla, Missouri offers several great advantages that help individuals enjoy a high quality of life. Rolla is an ideal place for families, with its low cost of living, excellent schools, safe neighborhoods, and a range of recreational activities suitable for all ages. The Ozark Scenic Riverways and beautiful landscapes offers abundant opportunities for outdoor enthusiasts of every lifestyle. With its vibrant community, Rolla hosts multiple events, concerts, art exhibitions, and theater performances throughout the year. The university's Leach Theatre showcases nationally renowned performers for campus and community alike. Overall, living in Rolla offers a high quality of life with a supportive community, affordable living, beautiful natural surroundings, and numerous opportunities for personal and professional growth.
Benefit Eligibility
This position is not eligible for University benefits. Individuals in non benefit eligible positions may choose to participate in the Tax Deferred Annuity Plan (403b). For information about this plan, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits .
Equal Employment Opportunity
The University of Missouri is an Equal Opportunity Employer .
To request ADA accommodations, please call the Office of Equity & Title IX at 573-341-7734.
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About University of Missouri

Sourced by ZipRecruiter

The University of Missouri, based in Columbia, MO, US; is a public, land-grant research institution with an established reputation in academic excellence, industry relevance, and societal impact. Founded in 1839, it was the first public university located west of the Mississippi River. The institution spans various industries in the education sector with its multitude of undergraduate, graduate, and professional degree programs across various disciplines. The University's mission is centered on improving lives, enhancing communities, advancing health, and fostering excellence through its teaching, research, and engagement activities. U-M has some significant achievements under its belt including pioneering the world's first school of journalism and being one of the only six public universities in the US that accommodates medicine, veterinary medicine, and law in one campus.

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Columbia, MO, US

Year founded

1839

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