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Machine Learning Software Engineer Jobs in Wisconsin

YUM

WI · On-site

$105.50 - $132.20/hr

Collaborate with cross‑functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive ...

SpeedyApply LLC

WI · On-site

$110 - $180/hr

Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with ... Experience working with modern software development tools and version control tools We provide ...

Autodesk

$107K - $139K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

AgSource

AI Engineer

Watertown, WI · On-site +1

You'll work at the intersection of data, machine learning, software engineering and product to turn complex, real-world data into production AI solutions. This isn't about AI for AI's sake. Sometimes ...

Serve Robotics

$225K - $260K/yr

Who We Are We are tech industry veterans in software, hardware, and design who are pooling our ... Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a ...

KLA-Belgium

WI · On-site

$79.93 - $125.60/hr

## Software Engineer - AI/MLApplylocations: Leuven, Belgiumtime type: Full timeposted on: Posted ... Design, develop, and implement machine learning models and AI algorithms to address business ...

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in Wisconsin

Machine Learning Software Engineer information

See Wisconsin salary details

$64.1K

$148.9K

$207.4K

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

As of Aug 19, 2026, the average yearly pay for machine learning software engineer in Wisconsin is $148,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $174,600.00 per year, depending on experience, location, and employer.

What does a machine learning software engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive as a machine learning software engineer?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Wisconsin?

The most popular types of Machine Learning Software Engineer jobs in Wisconsin are:

What are popular job titles related to Machine Learning Software Engineer jobs in Wisconsin?

For Machine Learning Software Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Machine Learning Software Engineer jobs in Wisconsin look for?

The top searched job categories for Machine Learning Software Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Machine Learning Software Engineer jobs?

Cities in Wisconsin with the most Machine Learning Software Engineer job openings:

What are popular job titles related to Machine Learning Software Engineer jobs in WI?

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Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $148,903 per year, or $71.6 per hour.

Machine Learning Engineer II (5289)

YUM

WI • On-site

$105.50 - $132.20/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Company Overview

Yum Brands is a global leader in the fast‑food industry, with a portfolio of renowned brands including KFC, Pizza Hut, Taco Bell, and more. We are dedicated to providing delicious, convenient, and innovative food experiences to our customers worldwide.

Position Overview

We are seeking a talented and passionate Machine Learning Engineer to join our dynamic team at Yum Brands. As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting‑edge machine learning models and solutions to enhance various aspects of our business operations, from customer experience optimization to supply chain management.

Key Responsibilities
  • Collaborate with cross‑functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive business outcomes.
  • Design, develop, and deploy scalable machine learning models and algorithms that address business challenges and improve operational efficiency.
  • Optimize machine learning models for performance, scalability, and efficiency.
  • Build robust data pipelines and infrastructure to support the training and deployment of machine learning models in production environments.
  • Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the smooth operation of applications and services in production.
  • Stay updated on emerging technologies and industry trends in machine learning, software engineering, and cloud computing, and evaluate their potential impact on our business operations.
Qualifications
  • Bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
  • Proven experience (4+ years) in developing and deploying in production environments, preferably in the context of real‑world business applications.
  • Proficiency in Python with strong software engineering skills and experience in building scalable and maintainable code.
  • Proficiency in message queue technologies and services such as Kafka, Pulsar, or RabbitMQ and experience working with real‑time data streaming.
  • Experience working with containerization technologies such as Docker and Kubernetes.
  • Strong analytical and problem‑solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in a fast‑paced and dynamic environment.
Nice to Have
  • Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.
  • Experience with cloud computing platforms such as AWS, Azure, or GCP.
Benefits

Employees (and their eligible family members) may enroll in medical, dental, vision, legal, and accidental death and dismemberment insurance coverage, as well as FSA/HSA, depending on the enrolled medical plan. Yum! also provides short‑term disability, long‑term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half‑day Fridays year‑round, and 2 paid days for volunteer time each calendar year.

Salary Range: 105,500 - 132,200

Equal Employment Opportunity

Yum! Brands is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.

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