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Machine Learning Jobs in Florence, KY (NOW HIRING)

Job Overview We are seeking a highly skilled Machine Learning / Generative AI Engineer to join a team developing AI-powered solutions for a major financial services organization. The ideal candidate ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Senior Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

We are seeking an experienced Machine Learning Engineer with a strong bias for action, an ownership mindset, and a passion for solving complex business problems through automation and AI. The ideal ...

Sr. Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

Sr. Machince Learning Engineer Location: Cincinnati OH (Hybrid - 3 Days Onsite) Duration: 1+ Year Key Responsibilities · Design, develop, deploy, and maintain scalable machine learning and ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

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Machine Learning information

See Florence, KY salary details

$25.3K

$42.3K

$87.3K

How much do machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning in Florence, KY is $42,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is a machine learning?

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 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 are the key skills and qualifications needed to thrive in a machine learning position?

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.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

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 positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Florence, KY?

The most popular types of Machine Learning jobs in Florence, KY are:

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

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

Infographic showing various Machine Learning job openings in Florence, KY as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,263 per year, or $20.3 per hour.

Machine Learning Engineer

Kforce Technology Staffing

Cincinnati, OH • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Machine Learning Engineer in Cincinnati, OH.
Summary:
The Machine Learning Engineer is responsible for developing, implementing and maintaining knowledge-based or artificial intelligence application systems. The individual should ensure that information is converted into a format that is digestible and easy for end users to access the information and utilize it optimally.
The project this position will support is working to build a product for Sales Enablement which utilizes artificial intelligence - Generative AI and Machine Learning models to enhance user experience. This role will focus on the Machine Learning models, development, and model risk management in a team setting. They will be part of an existing on full stack and AI engineers.
Responsibilities:
* Understand business problems, comprehend data, systems and existing solutions, harvest data from data pipelines and propose models for Sales Enablement
* Build an ML model that can be delivered in production setting with available and existing data set
* Expected to build and test the model in the application setting and meet all client specific SDLC requirements
* Collaborate with Model Risk Management for evaluation and evidence gathering
* Understand AI principles and will implement them as controls or integrate required solutions
REQUIREMENTS:
* Must have experience in developing and deploying Generative AI embedded applications in a production setting within regulatory/financial environment
* Should have bias for action; Lead by example; An automation first and ownership mindset
* Must be able to articulate and guide team on implementing responsible AI principles in solution
* Should be able to guide and lead the team in Model risk evaluation, submit questionnaires and remediate risks identified.
* Should be able to lay down a clear framework for ML Ops and Governance cycle of AI applications
* Python, Java, Prior experience with Machine Learning models and MRM in a production setting
* Understand and have prior experience of Generative AI development, validation and evaluation techniques is a plus
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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About Kforce

Sourced by ZipRecruiter

Kforce is a professional staffing services firm that is located in Tampa, Florida, US. Operational since 1962, it specializes in flexible and direct hire staffing in Technology and Finance & Accounting, engaging over 23,000 highly skilled professionals annually with more than 4,000 customers. Kforce operates within various industry sectors such as healthcare, financial services, communications, and government. Their mission is to have a meaningful impact on all the lives they serve, with a focus on integrity, respect, and trust.

Industry

It services and finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Tampa, FL, US