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Machine Learning Jobs in Racine, WI (NOW HIRING)

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Work You'll Do As an AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to develop AI infrastructure and deployment services, focusing on modern data architecture and ...

New

Previous machine operating experience. * Ability to operate various manufacturing equipment, follow ... Comprehensive training with numerous learning and development opportunities. * A career with a ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Lead ML Ops Engineer

Milwaukee, WI · On-site

$101K - $133K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the end-to-end machine-learning strategy and execution, sets vision for MLOps, and ensures alignment with business goals.

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Makes use of machine learning tools to select features, create and optimize data classifiers. * Performs preprocessing of structured and unstructured data. * Assists with Data taxonomy development ...

Makes use of machine learning tools to select features, create and optimize data classifiers. * Performs preprocessing of structured and unstructured data. * Assists with Data taxonomy development ...

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Makes use of machine learning tools to select features, create and optimize data classifiers. * Performs preprocessing of structured and unstructured data. * Assists with Data taxonomy development ...

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Machine Learning information

See Racine, WI salary details

$23.9K

$39.9K

$82.5K

How much do machine learning jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning in Racine, WI is $39,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,100.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

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-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What cities near Racine, WI are hiring for Machine Learning jobs? Cities near Racine, WI with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Racine, WI as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $39,930 per year, or $19.2 per hour.

Senior Data Scientist (Level I)

Sun Life Financial

Milwaukee, WI

$97K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

73rd of 261 rated insurance


Job description

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.

Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities.

Job Description:

This role will provide advanced analytics expertise within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business. This team is expected to work closely with the other teams across the organization, including functional teams and the analytic agile squads supporting AI use cases within various business domains. This position reports to the Director of Advanced Analytics Transformation within the Health and Risk Solutions business. Responsibilities include development and monitoring of predictive model and AI solutions to support our pricing, underwriting, claim forecasting, and clinical review processes. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes, mentoring junior team members, and promoting a culture of data-driven risk-based decisions.

How will you contribute?

  • Independently apply data science techniques to solve business problems across various analytical areas, including exploratory data analysis, feature engineering, predictive modeling, and visualization
  • Develop, validate, and maintain high-quality, robust predictive models and AI solutions that meet business and technical requirements
  • Utilize multiple sources of data, including structured and unstructured data, along with a variety of machine learning techniques to improve model performance and interpretability
  • Write clean, modular, and well-documented code that can be deployed and maintained in production, while providing technical guidance and code reviews for junior team members.
  • Interpret data and model outputs to generate clear actionable insights and recommendations that influence business decisions.

What will be needed to succeed?

  • Strong knowledge of statistical and machine learning framework, with a deep conceptual understanding of time series mythologies and forecasting techniques
  • Proficiency in Python and SQL for data manipulation, modeling, and automation

Strong problem-solving skills and effective communication, with an ability to explain complex technical concepts to a non-technical audience

  • Ability to turn proof-of-concept model into production-ready code and reproducible workflows
  • Commitment to data compliance, model governance and security protocols
  • Strong business acumen to understand why and how the work we do will impact our business stakeholders
  • BS/MS in a statistical, mathematical, or technical field (e.g., computer science, actuarial science)
  • 3+ years of experience in developing and implementing data science techniques

What will be nice to have?

  • Experience with actuarial/pricing, underwriting or related concepts utilized in the health insurance field Demonstrated academic or industry experience with generative AI including prompt engineering, RAG workflows and integrating LLMs into business process
  • Familiarity with MLOps practices, including model deployment, monitoring, and lifecycle management

About us:

Sun Life Financial is a leading provider of employee benefits in the U.S., helping Clients achieve lifetime financial security and live healthier lives. See how at https://www.youtube.com/user/SunLifeFinancialUS

The company has a stated strategic focus on leveraging data and insights to enhance our Clients' experience and drive business growth.

Join our talented, diverse workforce and cultivate a rewarding career. Visit us at www.sunlife.com/us to learn more.

Salary Range: $97,400 - $146,100
At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions.

Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you!

We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds.

Life is brighter when you work at Sun Life

At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities.

We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email thebrightside@sunlife.comto request an accommodation.

For applicants residing in California, please read our employee California Privacy Policy and Notice.

We do not require or administer lie detector tests as a condition of employment or continued employment.

Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Category:

Advanced Analytics

Posting End Date:

31/07/2026

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