Data Scientist
Milwaukee, WI · On-site
The role involves identifying business problems, developing machine learning models, and communicating insights to stakeholders while focusing on delivering data-driven solutions for clients.
New
Data Scientist
Milwaukee, WI · On-site
The role involves identifying business problems, developing machine learning models, and communicating insights to stakeholders while focusing on delivering data-driven solutions for clients.
New
Develop and implement statistical and machine learning models to solve business problems within a cross-functional team * Collaborate with senior data scientists to fine-tune, optimize and ensure the ...
Develop and implement statistical and machine learning models to solve business problems within a cross-functional team * Collaborate with senior data scientists to fine-tune, optimize and ensure the ...
Data Scientist II (Remote)
Menomonee Falls, WI · On-site +1
Develop and implement statistical and machine learning models * Fine-tune, optimize and ensure the scalability of models and algorithms * Aid in designing experiments to answer targeted questions
Data Scientist II (Remote)
Menomonee Falls, WI · On-site +1
Develop and implement statistical and machine learning models * Fine-tune, optimize and ensure the scalability of models and algorithms * Aid in designing experiments to answer targeted questions
Senior ML/GenAI Ops Engineer - Milwaukee, WI
Milwaukee, WI · On-site
$103K - $141.40K/yr
This role focuses on the operationalization and automation of machine learning and AI solutions, ensuring they are seamlessly integrated into production environments with a high degree of scalability ...
Senior ML/GenAI Ops Engineer - Milwaukee, WI
Milwaukee, WI · On-site
$103K - $141.40K/yr
This role focuses on the operationalization and automation of machine learning and AI solutions, ensuring they are seamlessly integrated into production environments with a high degree of scalability ...
Senior ML/GenAI Ops Engineer - Milwaukee, WI
$103K - $141.40K/yr
This role focuses on the operationalization and automation of machine learning and AI solutions, ensuring they are seamlessly integrated into production environments with a high degree of scalability ...
Senior ML/GenAI Ops Engineer - Milwaukee, WI
$103K - $141.40K/yr
This role focuses on the operationalization and automation of machine learning and AI solutions, ensuring they are seamlessly integrated into production environments with a high degree of scalability ...
Senior ML/GenAI Ops Engineer - Milwaukee, WI
Milwaukee, WI · On-site
$103K - $141.40K/yr
This role focuses on the operationalization and automation of machine learning and AI solutions, ensuring they are seamlessly integrated into production environments with a high degree of scalability ...
Senior ML/GenAI Ops Engineer - Milwaukee, WI
Milwaukee, WI · On-site
$103K - $141.40K/yr
This role focuses on the operationalization and automation of machine learning and AI solutions, ensuring they are seamlessly integrated into production environments with a high degree of scalability ...
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
AI/ML Software Developer
Kenosha, WI · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Kenosha, WI · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Racine, WI · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Racine, WI · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
Develop and train machine learning models to solve problems such as prediction, classification, and clustering. * Validate and deploy models into production environments. * Communicate findings and ...
Develop and train machine learning models to solve problems such as prediction, classification, and clustering. * Validate and deploy models into production environments. * Communicate findings and ...
Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities * Architect generative and agentic AI ...
Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities * Architect generative and agentic AI ...
Senior AI Engineer - SFL Scientific
$103K - $141.40K/yr
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 ...
Senior AI Engineer - SFL Scientific
$103K - $141.40K/yr
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 ...
Machine Operator
Pleasant Prairie, WI · On-site
$29.30/hr
Previous machine operating experience. * Ability to operate various manufacturing equipment, follow ... Comprehensive training with numerous learning and development opportunities. * A career with a ...
Quick apply
Machine Operator
Pleasant Prairie, WI · On-site
$29.30/hr
Previous machine operating experience. * Ability to operate various manufacturing equipment, follow ... Comprehensive training with numerous learning and development opportunities. * A career with a ...
Machine Operator
Pleasant Prairie, WI · On-site
$29.30/hr
Previous machine operating experience. * Ability to operate various manufacturing equipment, follow ... Comprehensive training with numerous learning and development opportunities. * A career with a ...
Quick apply
Machine Operator
Pleasant Prairie, WI · On-site
$29.30/hr
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 ...
AI/ML Data Contributor
Milwaukee, WI · Remote
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 ...
Quick apply
AI/ML Data Contributor
Milwaukee, WI · Remote
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 ...
AI/ML Data Contributor
Milwaukee, WI · On-site
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 ...
AI/ML Data Contributor
Milwaukee, WI · On-site
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 ...
Machine Learning information
See Racine, WI salary details
$23.9K - $29.2K
5% of jobs
$31K is the 25th percentile. Wages below this are outliers.
$29.2K - $34.6K
59% of jobs
$34.6K - $39.9K
9% of jobs
$40.3K is the 75th percentile. Wages above this are outliers.
$39.9K - $45.2K
17% of jobs
$45.2K - $50.6K
4% of jobs
$50.6K - $55.9K
2% of jobs
$55.9K - $61.2K
3% of jobs
$61.2K - $66.5K
0% of jobs
$66.5K - $71.9K
0% of jobs
$71.9K - $77.2K
0% of jobs
$77.2K - $82.5K
0% of jobs
$23.9K
$39.9K
$82.5K
How much do machine learning jobs pay per year?
As of May 31, 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 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 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.
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.
More about Machine Learning jobs
What cities near Racine, WI are hiring for Machine Learning jobs? Cities near Racine, WI with the most Machine Learning job openings:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
Job Summary:
Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a collaborative environment. The role involves identifying business problems, developing machine learning models, and communicating insights to stakeholders while focusing on delivering data-driven solutions for clients.
Responsibilities:
• Work with stakeholders to identify business problems and formulate them as data science challenges.
• Collect, clean, and explore large datasets to uncover trends and patterns.
• Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
• Validate and deploy models into production environments.
• Communicate findings and insights to technical and non-technical audiences through data visualization and presentations.
• Stay up to date with the latest trends and technologies in data science and machine learning.
• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
Qualifications:
Required:
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• 5+ Years of Experience in a Data Science or Machine Learning role.
• 5+ Years of Experience Proficiency in programming languages such as Python or R.
• 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
• 5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred:
• Master's or Ph.D. in a relevant field.
• Experience with big data technologies like Spark or Hadoop.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools like Tableau or Power BI.
• Analytical/ Decision Making Responsibilities
• Analytical ability to manage multiple projects and prioritize tasks into manageable work products
• Can operate independently or with minimum supervision
• Excellent Written and Communication Skills
• Ability to deliver technical demonstrations
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.
Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a collaborative environment. The role involves identifying business problems, developing machine learning models, and communicating insights to stakeholders while focusing on delivering data-driven solutions for clients.
Responsibilities:
• Work with stakeholders to identify business problems and formulate them as data science challenges.
• Collect, clean, and explore large datasets to uncover trends and patterns.
• Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
• Validate and deploy models into production environments.
• Communicate findings and insights to technical and non-technical audiences through data visualization and presentations.
• Stay up to date with the latest trends and technologies in data science and machine learning.
• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
Qualifications:
Required:
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• 5+ Years of Experience in a Data Science or Machine Learning role.
• 5+ Years of Experience Proficiency in programming languages such as Python or R.
• 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
• 5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred:
• Master's or Ph.D. in a relevant field.
• Experience with big data technologies like Spark or Hadoop.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools like Tableau or Power BI.
• Analytical/ Decision Making Responsibilities
• Analytical ability to manage multiple projects and prioritize tasks into manageable work products
• Can operate independently or with minimum supervision
• Excellent Written and Communication Skills
• Ability to deliver technical demonstrations
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.