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Hourly Embedded Machine Learning Jobs in Prairie du Sac, WI

Walmart

Stocking Team Associate

Richland Center, WI · On-site

$15 - $28/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Dodgeville, WI · On-site

$15 - $28/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Sun Prairie, WI · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Madison, WI · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Baraboo, WI · On-site

$14 - $27/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Monona, WI · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Portage, WI · On-site

$14 - $27/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Wisconsin Dells, WI · On-site

$14 - $27/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Baraboo, WI · On-site

$14 - $27/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Backroom Team Associate

Madison, WI · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

SSM Health

Teacher - Preschool

Madison, WI · On-site

$15 - $20.25/hr

Familiarity with Wisconsin Model Early Learning Standards * Strong communication, organization, and ... Ability to hear alarms, malfunctioning machinery, etc. * Frequent keyboard use/data entry.

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Showing results 21-40

All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Prairie du Sac, WI

Hourly Embedded Machine Learning information

See Prairie du Sac, WI salary details

$64.4K

$141.1K

$160.1K

How much do hourly embedded machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for hourly embedded machine learning in Prairie du Sac, WI is $141,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $159,200.00 per year, depending on experience, location, and employer.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What cities near Prairie du Sac, WI are hiring for Hourly Embedded Machine Learning jobs?

Cities near Prairie du Sac, WI with the most Hourly Embedded Machine Learning job openings:

Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Prairie du Sac, WI as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $141,148 per year, or $67.9 per hour.

2nd Shift CNC Operator Trainee (Dept. 301)

MILWAUKEE VALVE

Prairie Du Sac, WI • On-site

$22.34/hr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Milwaukee Valve Company is looking for a 2nd Shift CNC Operator Trainee to join our Prairie Du Sac, WI team in Department 301. This position has a starting hourly wage of $22.34 plus a shift premium.
*This position is eligible for a $2,000 sign-on bonus. The first half ($1,000) is payable after successful completion of the orientation period and the second half ($1,000) is payable after one year of employment.*
The regularly scheduled hours for this position are 3:30PM - 12:00AM, Monday through Friday. Overtime may become a possibility or even required. When working overtime, the regularly scheduled shift is adjusted by 1-2 hours at either the beginning or end of the regularly scheduled shift. Overtime may also be requested or mandatory on Saturday as well.
All offers of employment made by Milwaukee Valve are contingent upon successfully completing our required drug screen and physical capabilities tests.
Established in 1901, Milwaukee Valve manufactures valves for a variety of industries including Industrial, Commercial, Fire Protection, Marine and the dry bulk hauling industries. Our products have been installed on every U.S. Navy ship built for the last 50 years.
Our heritage, our people, and our passion is to be the best, and Milwaukee Valve is proud of its engineering excellence and its employees who take pride and dedication in their work. In return, Milwaukee Valve offers an excellent benefit package, competitive wages, and promotional opportunities including Health, Dental, Life and Disability Insurance options, Flex Spending, 401K with employer match, tuition assistance, paid time off, and shift premiums. For more information, please go to:
Our Homepage
Bronze Foundry Tour
Employee Testimonial Commercial
Summary: During the approximate 90-day training period the CNC Operator Trainee will be required and responsible for learning the safe operation of CNC machines, how to maintain operations during production runs, obtain general knowledge and ability to read, comprehend and interpret blueprint specifications and the skills to perform the inspection of machined parts by the use general measuring instruments.
Prior machining experience is not required. Personal hand tools and measuring instruments are required after successful training period. Other duties may be assigned.
Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to help individuals with disabilities to perform the essential functions.
Education:
  • High school diploma or General Education Degree (GED)
Language Skills:
  • Ability to read and interpret documents such as:
    • Safety policies and rules
    • Operating and maintenance instructions
    • Procedure manuals
    • Ability to communicate effectively
Reasoning Ability:
  • Ability to apply common sense understanding
  • Thoroughly carry out instructions given in any form
  • Ability to deal effectively with routine problems and situations
Mathematical Skills:
  • Basic math ability such as:
    • Addition
    • Subtraction
    • Multiplication
    • Division
Physical Demands:
  • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
    • Constantly stand, sit, walk lift, carry, and climb ladders throughout the workday
    • Frequently use hands and arms to reach, grasp, manipulate, handle, or feel material
    • Constant use hands and fingers to grasp, pinch, pull, feel, handle, and manipulate parts and tools
    • Frequently exposed to moving mechanical parts
    • Occasional bending
    • Frequent lifting up to 40 lb. unassisted
    • Occasional lifting up to 70lbs unassisted
Work Environment
  • The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
    • Frequently exposed to fumes or airborne particles
    • Constant exposure to louder noise levels
Definitions: Constant (5-8 hrs./shift) Frequent (2-5 hrs./shift) Occasional (Up to 2 hrs./shift)

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