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Machine Learning Engineer Jobs in Dubuque, IA (NOW HIRING)

Various roles are available that require use of C++, Qt/QML, and virtual machines that run Linux ... Collaborative mindset with a proactive approach to learning new technologies and tools. VISA ...

HealthCheck360 is looking to add a dynamic FullStack Software Engineer to our team! This role is uniquely positioned as a hybrid between Software Engineering and Data Analytics, making it ideal for ...

HealthCheck360 is looking to add a dynamic Full-Stack Software Engineer to our team! This role is uniquely positioned as a hybrid between Software Engineering and Data Analytics, making it ideal for ...

HealthCheck360 is looking to add a dynamic Full‑Stack Software Engineer to our team! This role is uniquely positioned as a hybrid between Software Engineering and Data Analytics, making it ideal ...

HealthCheck360 is looking to add a dynamic Full‑Stack Software Engineer to our team! This role is uniquely positioned as a hybrid between Software Engineering and Data Analytics, making it ideal ...

HealthCheck360 is looking to add a dynamic Full-Stack Software Engineer to our team! This role is uniquely positioned as a hybrid between Software Engineering and Data Analytics, making it ideal for ...

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Showing results 1-20

Machine Learning Engineer information

See Dubuque, IA salary details

$29.7K

$121.4K

$182.5K

How much do machine learning engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning engineer in Dubuque, IA is $121,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $146,200.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

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 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 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 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.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
What cities near Dubuque, IA are hiring for Machine Learning Engineer jobs? Cities near Dubuque, IA with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Dubuque, IA as of May 2026, with employment types broken down into 1% Internship, 52% Full Time, 45% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,427 per year, or $58.4 per hour.
Machine Evaluation Engineer

Machine Evaluation Engineer

RFA Engineering

Dubuque, IA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

RFA Engineering (www.rfamec.com) is an engineering service provider dedicated to delivering our clients with timely engineering support and expertise. We are seeking an experienced candidate to become an integral part of our engineering team. The selected candidate will work with an experienced engineering staff using state-of-the-art engineering tools & processes. This position will operate onsite at our customer's world-class engineering and manufacturing facility.
This is a full-time position with a full benefit package listed below that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization.
Machine Evaluation Engineer
The Machine Evaluation Engineer is responsible to plan and execute performance and functionality tests of core machine infrastructure to support the next generation of construction and forestry equipment.
Responsibilities:
  • Provide feedback to design groups to further improve the performance and customer value.
  • Manage a fleet of engineering machines to coordinate testing and activities of other groups.
  • Conduct field testing at customer locations -
    • Manage the timeline to align with development and production dates.
    • Introduce the machine to the customer and show them the new features.
    • Maintain contact throughout duration of testing.
    • Gather customer feedback and bring it back to the design groups.
    • Document feedback in a trip report and share it with the broader team.
    • Be the voice of the customer during the development process.
  • Analyze data and complete written test reports to document results.
  • Willingness to travel: up to 25%. (Including International)
  • 100% support would be needed onsite

Desired Skills:
  • Bachelor of Science in Engineering or Technology related field - Mechanical, or similar.
  • Hands-on problem solving.
  • Technical documentation, communication, and presentation.
  • A proven mechanical aptitude through employment, personal experience and/or education.
  • Candidates must have excellent communication, teamwork and analytical skills.
  • High level of attention to detail and accuracy.
  • Strong teamwork and collaboration skills.
  • Strong written and verbal communication skills.
  • Must have a valid drivers license

What makes you stand out:
  • Previous machine maintenance or troubleshooting experience.
  • Prior experience operating construction or agriculture equipment.
  • Experience with HVAC, mechanical, and/or electrical systems on vehicle platforms.
  • Understanding of controller communication protocols (CAN/LIN), along with recording and analyzing data.
  • Testing experience (Test set up, execution, analysis and results reporting)

About RFA Engineering
RFA Engineering has provided product development and engineering services to industry leading customers since 1943. Our primary focus is the development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque, IA, and at numerous customer sites throughout the U.S.
Competitive Benefits
  • Health and Dental Insurance
  • TelaDoc Healthiest You
  • Supplemental Vision Insurance
  • Company Paid Life Insurance
  • Company Paid Long-Term Disability
  • Short-term Disability
  • Retirement Savings Account (Traditional 401k & Roth 401k)
  • Flexible Spending Plan Dependent Care
  • HSA for Medical Expenses
  • Bonus Plan (Exempt Employees Only)
  • Paid Time Off (PTO)
  • Paid Holidays
  • Bereavement Leave
  • Employee Assistance Programs (EAP)
  • Education Assistance

Equal Opportunity and Veteran Friendly
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.