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

SynergisticIT

Junior Fullstack Engineer

Madison, WI

... Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics ...

DataAnnotation

SDLC Engineer - AI Trainer

Madison, WI · Remote

$50 - $100/hr

As a DataAnnotation's coder, 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 -- who are driving ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Are you interested in applying machine learning or data mining on problems that truly improve ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

DataAnnotation

QA Engineer - AI Trainer

Madison, WI · Remote

$50 - $100/hr

As a DataAnnotation's coder, 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 -- who are driving ...

AbbVie

Software Instrumentation Engineer

Madison, WI · On-site

Join the Madison Peptide Therapeutics (MPT) Engineering team as an Instrumentation Software ... Experience with AI-assisted software development and/or machine learning. * Experience with Git and ...

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Showing results 1-20

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 Jun 19, 2026, the average yearly pay for machine learning engineer in Madison, WI is $129,771.00, 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.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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.

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
Cybersecurity Intern - Co-op Fall 2026

Cybersecurity Intern - Co-op Fall 2026

Exact Sciences

Madison, WI • On-site

$36K - $57K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Exact Sciences rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

19th of 103 rated laboratories

Job description

Help us change lives
At Exact Sciences, we're helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others.
Exact Sciences is seeking a Cybersecurity Co-op program participant to support our efforts in developing and applying artificial intelligence technologies to drive innovation and efficiency for cybersecurity across the organization. The Cybersecurity Intern will collaborate with data scientists, engineers, and cross-functional teams to research, prototype, and implement AI solutions-including machine learning (ML), deep learning (DL), and generative AI models-that enhance decision-making and business processes for Cybersecurity.
This opportunity offers the ability to gain hands-on experience in applied AI development and Cybersecurity processes within the biotech industry and to contribute to projects that have a meaningful impact on patient outcomes and healthcare advancement.
Essential Duties
Include, but are not limited to, the following:
  • Assist in the development, training, and evaluation of AI and machine learning models, including natural language processing (NLP), computer vision, and generative AI applications.
  • Support the integration of AI models into production environments, including data pipelines and APIs.
  • Conduct data analysis, cleaning, and preparation to support model development and evaluation.
  • Participate in AI research and literature review, identifying emerging techniques applicable to Exact Sciences' initiatives.
  • Visualize data and model outputs, communicating insights to both technical and non-technical audiences.
  • Collaborate in Agile development cycles, contributing to iterative improvement of AI-driven products.
  • Document methodologies, experiments, and results to ensure reproducibility and transparency.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System (QMS) policies and procedures.
  • Maintain regular and reliable attendance.
  • Demonstrate an inclusion mindset and model these behaviors across the organization.
  • Ability to work designated schedule.

Minimum Qualifications
  • Current student enrolled toward a Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
  • Demonstrated proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Understanding of machine learning fundamentals, including supervised and unsupervised learning.
  • Strong analytical and problem-solving skills.
  • Legal authorization to work in the country of employment without current or future sponsorship.

Preferred Qualifications
  • Current student enrolled toward a Master's degree in Computer Science, Artificial Intelligence, Data Science, Cybersecurity or related field.
  • Experience with natural language processing (NLP), computer vision, or generative AI (e.g., large language models, diffusion models).
  • Working knowledge of SQL and data engineering tools (e.g., Spark, Pandas).
  • Experience with cloud platforms (AWS, GCP, or Azure) and version control tools (Git).
  • Familiarity with MLOps concepts, model evaluation metrics, and responsible AI principles.
#LI-KL1
Salary Range:
$36,000.00 - $57,000.00
The annual base salary shown is for this position located in US - WI - Madison on a full-time basis.
Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.
Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.
Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.
To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

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