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Machine Learning Engineer Jobs in Madison, WI (NOW HIRING)

CFS

AI Engineer

Verona, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

New

CFS

AI Engineer

Waunakee, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Middleton, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Verona, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Monona, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

New

CFS

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

CFS

AI Engineer

Middleton, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

New

Imedica

Tech Lead/Data Engineer III

Madison, WI · On-site

$100.30K - $172K/yr

Medica is seeking an experienced Tech Lead/Data Engineer III. This role is ideal for an innovative ... Applying AI and machine learning techniques to enhance predictive analytics, automate decision ...

DataAnnotation

DevOps Engineer

Madison, WI · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

DataAnnotation

Software Engineer

Madison, WI · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Madison, WI

Machine Learning Engineer information

See Madison, WI salary details

$31.7K

$129.8K

$195K

How much do machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for 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.

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 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 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 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 are the most commonly searched types of Machine Learning Engineer jobs in Madison, WI? The most popular types of Machine Learning Engineer jobs in Madison, WI are:
What are popular job titles related to Machine Learning Engineer jobs in Madison, WI? For Machine Learning Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Madison, WI look for? The top searched job categories for Machine Learning Engineer jobs in Madison, WI are:
What cities near Madison, WI are hiring for Machine Learning Engineer jobs? Cities near Madison, WI with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you

AI Engineer

CFS

Verona, WI • Remote

$200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 hours ago

Job description

AI Engineer | Permanent | No Sponsorship Available | Remote

ABOUT OUR CLIENT

  • The company is financially sound, yet their success is not just defined by their profits; it's about living their core values.
  • Ton of opportunity for growth and providing a better place to live and work!
  • The company boasts a team-oriented culture and provides its employees with the tools and training necessary to perform.
  • Huge Employee Perks!

BENEFITS & COMPENSATION

  • Compensation: Up to $200,000 per year + 8% annual bonus target
  • PTO: Unlimited
  • Retirement: 401K w/ a match
  • Medical: Health, vision, and dental plans available for individuals and families

RESPONSIBILITIES FOR THE AI ENGINEER

  • Partner with stakeholders to identify high-impact opportunities where AI can drive efficiency, growth, and competitive advantage
  • Design and deploy sophisticated LLM-based agent systems, reasoning workflows, and tool-integrated pipelines (RAG, chain-of-thought, planning-execution patterns)
  • Architect and maintain production-grade APIs supporting real-time and asynchronous agent operations, including Model Context Protocol (MCP) integration
  • Develop robust prompt strategies, vector database implementations, and knowledge graph architectures ensuring reliable model behavior
  • Build comprehensive testing frameworks, observability tooling, and diagnostic systems for agent execution and performance monitoring
  • Manage the complete AI model lifecycle—integration, deployment, fine-tuning, and production monitoring with logging and recovery mechanisms
  • Establish AI governance standards addressing compliance, security, responsible AI, and ethical considerations
  • Champion AI adoption across the organization; define success metrics, track progress, and drive organizational alignment
  • Collaborate with frontend teams to build intuitive user interfaces and seamless AI system integration using React and TypeScript

QUALIFICATIONS FOR THE AI ENGINEER

  • 10+ years of software development and systems architecture experience
  • 3+ years of hands-on experience designing and implementing AI-driven solutions with production AI tools
  • 3+ years of specialized expertise with Large Language Models, Generative AI, NLP, and machine learning fundamentals
  • Practical experience with deep learning frameworks, RAG architectures, vector databases, and agent-based frameworks
  • Working knowledge of cloud-native AI services and deployment patterns

Timing is everything. Whether you are aggressively in a job search or simply passive and looking for the ideal position, we would like to have the chance to share our opportunities with you. We specialize in placement of IT professionals. Please contact me for more information about this role as well as other opportunities.

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