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Mobile Machine Learning Jobs in Florence, KY (NOW HIRING)

Operator I

Cincinnati, OH ยท On-site

$16.75 - $22/hr

They may be filling bottles, working with the machine's that put the pills into the container. In ... Responsible for learning the manufacturing and/or packaging process as assigned by following ...

Diagnose and resolve technical issues, ensuring optimal machine performance and customer ... Premium Equipment - Latest laptop, mobile phone, PPE & professional workwear * Up to 10% Annual ...

Manager I, Safety

West Chester, OH ยท On-site

$78K - $106K/yr

... trucks/mobile equipment, lock-out/tag-out (LOTO), machine guarding, working from heights ... Comprehensive training with numerous learning and development opportunities. * An attractive salary ...

EHS Manager

West Chester, OH ยท On-site

$83 - $138/hr

... trucks/mobile equipment, lock-out/tag-out (LOTO), machine guarding, working from heights ... Comprehensive training with numerous learning and development opportunities. * An attractive salary ...

Manager I, Safety

West Chester, OH ยท On-site

$78K - $106K/yr

... trucks/mobile equipment, lock-out/tag-out (LOTO), machine guarding, working from heights ... Comprehensive training with numerous learning and development opportunities. * An attractive salary ...

Showing results 21-32

Mobile Machine Learning information

See Florence, KY salary details

$12

$25

$118

How much do mobile machine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for mobile machine learning in Florence, KY is $25.13, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $20.05 per hour, depending on experience, location, and employer.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What are some common challenges faced by mobile machine learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

What are the key skills and qualifications needed to thrive as a mobile machine learning engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are popular job titles related to Mobile Machine Learning jobs in Florence, KY?

For Mobile Machine Learning jobs in Florence, KY, the most frequently searched job titles are:

What job categories do people searching Mobile Machine Learning jobs in Florence, KY look for?

The top searched job categories for Mobile Machine Learning jobs in Florence, KY are:

What cities near Florence, KY are hiring for Mobile Machine Learning jobs?

Cities near Florence, KY with the most Mobile Machine Learning job openings:

Infographic showing various Mobile Machine Learning job openings in Florence, KY as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $52,279 per year, or $25.1 per hour.

Operator I

Unicon Pharma Inc.

Cincinnati, OH โ€ข On-site

$16.75 - $22/hr

Contractor

Re-posted 8 days ago


Job description

Description:
 
Operator I
Cincinnati, OH
6 Months (Temp to perm: Based on openings and performance)
Shift: *Day Shift Role*, Monday - Thursday 6:00a – 4:30p with two 30 minute breaks
Orientation: Monday and Tuesday 8AM - 4:30PM orientation before starting their perspective shifts the following day.
**Accepting candidates that have high school diploma or GED. Workers must be willing to stand for duration of assignment and bend. Workers are not operating a forklift.
Candidates must have the following to be considered for the role:
- Heaving lifting up to 50 pounds.
- Good math skills multiplying, add subtracting.
- GMP experience
- Troubleshooting experience with any machine
Day to Day:
Feeding feeders in an assembly line.
Workers may be working in the packaging or manufacturing areas. Most of the work will be in packing. Packing consist of taking the pills and getting them into the packages. They may be filling bottles, working with the machine’s that put the pills into the container. In manufacturing, workers will be mixing, going up small ladders up to 6 feet and lifting up to 50 pounds.
Screenings:
1. Drug Screen: 11 panel + Fentanyl
2. Background:
3. Medical Test:
A) Vision Screen - Near, Far, Color, Depth and Peripheral
B) Vital Signs
C) Audiogram & Noise and Hearing Questionnaire
D) Spirometry & OSHA Respirator Questionnaire
E) Lifting Assessment (manufacturing, maintenance, warehouse, security, or as indicated) - lifting up to 50 pounds
Position Summary:
This position is responsible for performing operations related to the manufacturing and/or packaging of pharmaceutical products through equipment set-up, operation, clean-up and maintenance in compliance with all regulatory cGMP requirements and company policies and procedures.
Essential Duties & Responsibilities
All areas of responsibility listed below are essential to the satisfactory performance of this position by any incumbents with reasonable accommodation if necessary. Any non-essential functions are assumed to be included in other related duties or assignments.
• Responsible for learning the manufacturing and/or packaging process as assigned by following approved batch records (BR), work instructions (WI), standard operating procedures (SOP), etc.
• Responsible for set up, changeover, programming and operation of various equipment manufacturing and/or packaging equipment.
• Responsible for cleaning of facilities, equipment and utensils as required following SOP’s and WI’s.
• Responsible for completing documentation as required in the manufacturing and/or packaging of product.
• Responsible for completing all training requirements and maintaining 100% compliance with all assignments.
• Responsible for maintaining work areas and performing job functions in a safe and efficient manner in accordance with company policies and procedures, Good Manufacturing Practices (cGMP’s), Standard Operating Procedures (SOP’s) and Batch Record instructions.
• Responsible for performing additional related duties as assigned.
Position Requirements
Any equivalent combination of education, training and/or experience that fulfills the requirements of the position will be considered. Preferably previous pharmaceutical manufacturing or packaging experience.
Education/Certification/Experience:
• Requires High School Diploma or equivalent.
• Prefer previous experience in a manufacturing environment within pharmaceutical, nutraceutical or food processing industries.
Skills/Knowledge/Abilities:
• Ability to receive instruction and follow directions.
• Ability to interact positively with co-workers and management.
• Ability to communicate effectively with written and oral communication skills.
• Ability to follow company policies and procedures.
• Ability to follow cGMP and other regulatory requirements.
• Ability to maintain 100% compliance in all SOP, cGMP, EHS and other training curriculum as assigned.
• Ability to operate and troubleshoot manufacturing/packaging equipment.
Problem Solving:
• Works on assignments that are routine to semi-routine in nature where the ability to recognize deviation from accepted practice is required.
• Exercises judgment within specifically defined practices and policies and selects methods and techniques for obtaining solutions.
• Normally receives general instruction on routine work and detailed instruction on new assignments.
• May be asked to recommend methods and procedures for problem resolution.
PHYSICAL REQUIREMENTS:
Constant:
• Standing for extended periods of time at work station or equipment.
• Walking to move short distances quickly and frequently.
Frequent:
• Stooping, Kneeling and/or Crouching – bending body, spine and/or legs.
• Twisting/Reaching – turning at waist and extending hands and/or arms in any direction.
Occasional:
• Sitting for extended periods of time at work station or mobile equipment.
• Climbing – use of feet, legs, hands and/or arms to ascend or descend.
• Pushing and/or Pulling – using upper extremities to exert force.
• Repetitive Motions - frequent motions of the wrists, hands and/or fingers.
• Lifting – raising from lower to upper and/or moving objects horizontally – from 25 lbs, up to 50 lbs. and more than 50 lbs (with assistance)
Visual Acuity:
• Perform activities such as computer work, preparing and analyzing data, extensive reading, visual inspection involving small defects, small parts and/or operation of machines (including inspection), using measurement devices and/or assembly or fabrication of parts at a distance close to the eyes