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Artificial Intelligence Machine Learning Engineer Jobs in Platteville, WI

... artificial intelligence, focusing on designing, building, and deploying AI-powered systems and ... of machine learning algorithms and AI principles. • Experience with AI frameworks such as ...

... artificial intelligence. You will design, build, and deploy AI-powered systems and tools that ... Strong understanding of machine learning algorithms and AI principles. * Experience with AI ...

... artificial intelligence. You will design, build, and deploy AI-powered systems and tools that ... Strong understanding of machine learning algorithms and AI principles. * Experience with AI ...

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Artificial Intelligence Machine Learning Engineer information

See Platteville, WI salary details

$30.8K

$126K

$189.4K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for artificial intelligence machine learning engineer in Platteville, WI is $126,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $151,700.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

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

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What cities near Platteville, WI are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Platteville, WI with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Platteville, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $126,042 per year, or $60.6 per hour.

AI Software Engineer

Cottingham & Butler

Dubuque, IA • On-site

Full-time

Re-posted 15 days ago


Cottingham & Butler rating

8.6

Company rating: 8.6 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

94th of 315 rated insurance


Job description

Job Summary:
Cottingham & Butler is seeking a highly motivated Software Engineer with deep AI expertise to join their IT team. This role is central to their mission of transforming brokerage, claims, and client service experiences by harnessing artificial intelligence, focusing on designing, building, and deploying AI-powered systems and tools.
Responsibilities:
• Design and develop AI-augmented tools and workflows.
• Architect intelligent agents to access insights and automate tasks.
• Integrate AI models into software applications to solve business-related problems.
• Develop scalable and robust AI infrastructures.
• Stay up-to-date with the latest AI trends and technologies.
• Collaborate with cross-functional teams to understand needs and devise AI solutions.
• Ensure ethical guidelines and standards are maintained in AI developments.
Qualifications:
Required:
• Proficiency in programming languages like Python, Java, or R.
• Strong understanding of machine learning algorithms and AI principles.
• Experience with AI frameworks such as TensorFlow or PyTorch.
• Hands-on experience integrating with OpenAI, Claude, Google Vertex AI, or similar platforms.
• Ability to work collaboratively in a team environment.
• Curiosity, problem-solving skills, and attention to detail
Company:
Cottingham & Butler is the 35th largest insurance broker in the US. Founded in 1987, the company is headquartered in Dubuque, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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