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Machine Learning Jobs in Florence, KY (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Cincinnati, OH · Remote

$18 - $40/hr

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 ...

Bespoke Labs

Machine Learning Engineer

Covington, KY · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

dbi

Alterations Intern

Cincinnati, OH · On-site

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 ...

dbi

Alterations Intern

Cincinnati, OH · On-site

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 ...

Deloitte

AI Solutions Architect

Cincinnati, OH · On-site

$61.50 - $81/hr

Responsibilities : • Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements • Developing account growth ...

Hudson Manpower

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Machine Learning Data Enablement squad in the Data Insights Tribe Required: In office 4 days a week minimum (Monday-Thursday) We're hiring a Data Engineer to join our newly launched Machine Learning ...

United IT

Data Engineer IV

Cincinnati, OH · On-site

$109K - $132K/yr

Data Engineer IV Seeking a Data Engineer IV to join its newly formed Machine Learning Data Enablement Team, part of the Customer Recommendation and Insights Squad within the Data Insights Tribe. This ...

Deloitte

AI Solutions Architect

Cincinnati, OH · On-site

$60.50 - $79.75/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

GMV

Data Architect

Verona, KY · On-site +1

$59 - $75.75/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Tata Consultancy Services

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... machine learning models for classification, regression, NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data preprocessing, model training, and ...

GMV

AI Software Engineer

Verona, KY · On-site +1

$51.50 - $68.25/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

TQL

Data Scientist

Cincinnati, OH · On-site

As a Data Scientist, you'll design, build, and deploy advanced analytics and machine learning solutions that directly support business decision-making. You'll own projects end-to-end--from problem ...

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Showing results 1-20

All JobsMachine Learning JobsMachine Learning Jobs in Florence, KY

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 Jun 27, 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 $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 job categories do people searching Machine Learning jobs in Florence, KY look for? The top searched job categories for 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:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Florence, KY as of June 2026, with employment types broken down into 2% Internship, 76% Full Time, 17% Part Time, 2% Temporary, and 3% Contract. 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

Machine Learning Engineer

Apex Informatics

Cincinnati, OH • On-site

Full-time

Posted 14 days ago

Job description

Below is my newest requirement. Please send Full Legal Name, LinkedIn, Location, Contact Details, C2C rate, and work authorization status with each submittal.
Client: Kroger
Location: Hybrid onsite in Cincinnati OH (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Rate: Open (market rate)
We are seeking a dynamic Senior Machine Learning Engineer to lead the integration and operationalization of machine learning models. This role requires collaboration with data scientists and leadership teams, and a strong foundation in MLOps methodologies. Experience in diverse ML platforms, including Google Vertex AI and other cloud and open-source technologies, is essential. The candidate will bridge MLOps, data science, and leadership to ensure the smooth functioning of our ML infrastructure.
Qualifications:
Minimum of 4 years of experience in MLOps, with a demonstrated ability to work with various ML platforms.
Strong proficiency in Python and familiarity with data science methodologies.
Experience with cloud technologies, particularly Google Cloud and Vertex AI, and adaptability to technologies like Microsoft Azure or open-source tools.
Excellent communication skills, capable of bridging technical and business domains
Experience in developing state-of-the-art techniques for multi-stage, personalized, context-aware, and sequential recommender systems.
Hands-on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, transformers, and LLMs.
Capable software engineering skills to lead a multi stage recommender system model lifecycle from inception to production.

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