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Machine Learning Jobs in Florence, KY (NOW HIRING)

This role is ideal for someone who combines depth in applied machine learning with strong systems thinking, cross-functional influence, and contributes towards agentic capabilities. What does the ...

Architect AI and machine learning solutions using Oracle Cloud Infrastructure, Oracle AI Services, and associated platform capabilities Lead technical teams through solution design, model development ...

They are seeking a Lead Data Scientist to provide technical leadership across search and recommender systems, focusing on modern model architectures and production-ready machine learning. The role ...

GenAI Developer

Cincinnati, OH · On-site

$50.50 - $65/hr

Candidates with Machine Learning experience and a strong software engineering background will be highly preferred. Key Responsibilities * Design, develop, and maintain enterprise-grade applications ...

Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly ...

Responsibilities - Leading the design and development of AI and Machine Learning solutions for pharmaceutical clients - Managing complex data analysis to transform raw data into actionable insights ...

New

Senior AI Engineer - SFL Scientific

Cincinnati, OH · On-site

$100K - $137K/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 ...

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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 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:
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.

Principal AI Engineer - AI Transformation

Fifth Third

Cincinnati, OH

Full-time

Posted 5 days ago


Job description

Make banking a Fifth Third better
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.

GENERAL FUNCTION:

The Principal AI Engineer architects and implements artificial intelligence and machine learning systems that address diverse business challenges throughout the Bank, with a strong focus on research and experimentation of generative AI models and agentic systems. This role involves conducting rigorous data analysis, performing statistical evaluation, designing experimental frameworks, and developing algorithms that effectively leverage both structured and unstructured data. The AI Engineer creates solutions that range from on-demand analytics to fully integrated software systems, working closely with cross-functional teams to align technical solutions with business requirements. Staying apprised and educating senior leaders on emerging AI trends, risks, and opportunities.

Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

Essential Duties and Responsibilities

AI Development and Implementation

  • Design, develop, and implement AI and machine learning systems that address specific business challenges and deliver measurable value.
  • Create and maintain model documentation, ensuring transparency in methodologies and approaches.
  • Research, test, and apply state-of-the-art generative AI models and/or solutions for potential use.
  • Develop agentic AI systems capable of autonomous reasoning, planning, and tool utilization for complex task completion.
  • Create comprehensive evaluation frameworks to assess model performance, detect hallucinations, and ensure output quality.
  • Stay current with emerging AI/ML technologies, frameworks, and methodologies.
  • Contribute to establishing best practices for AI development and deployment.
  • Sets enterprise-wide technical standards by defining reference architectures, chairing design reviews, and approving model lifecycle gates (e.g., data sourcing, bias audits, drift monitoring).

Analytics and Insights

  • Extract meaningful patterns and insights from complex, multi-dimensional data sets.
  • Apply advanced analytics including predictive modeling, machine learning, and optimization techniques.
  • Translate business questions into well-defined analytical problems with clear objectives
  • Design and execute experiments with statistically valid methodologies and evaluation criteria.
  • Develop specialized analytics for banking-specific use cases while maintaining compliance with financial regulations.

Collaboration and Communication

  • Leads projects or processes with limited supervision, applying advanced knowledge to solve complex problems.
  • Acts as a resource for colleagues, influencing technical direction and standards across multiple products or platforms.
  • Drives cross-team technical initiatives, ensuring integration, scalability, and compliance across multiple products and platforms.
  • Partner with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Effectively communicate complex technical concepts to non-technical stakeholders.
  • Present findings, recommendations, and insights to business teams in accessible formats.
  • Collaborate with software engineers, cloud engineers, data engineers, and data scientists to integrate AI solutions into existing systems and products.
  • Work with compliance and security teams to ensure AI systems meet banking regulatory requirements.

Minimum Knowledge, Skills and Abilities Required

Education and Experience

  • Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or related technical field; Advanced degree preferred but not required.
  • 6+ years of experience developing and deploying machine learning or AI solutions in production environments.

Technical Skills

  • Strong programming skills with proficiency in Python; familiarity with JavaScript and SQL.
  • Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), evaluation frameworks, tool integration, and agentic system design.
  • Experience with cloud computing platforms (AWS preferred, specifically Bedrock, Sagemaker, Lex, etc.).
  • Skilled in data visualization and storytelling, effectively communicating complex analytical insights in clear, actionable formats for technical and non-technical audiences.
  • Experience with machine learning frameworks (PyTorch, scikit-learn, Hugging Face).
  • Practical knowledge of deep learning, neural networks, and traditional ML algorithms.
  • Familiarity with model optimization techniques including quantization and distillation.
  • Knowledge of AI orchestration frameworks (LangChain, LlamaIndex, MCPs, etc.)

Engineering Practices

  • Proficiency with version control systems (Git/GitHub)
  • Understanding of CI/CD pipelines and DevOps practices
  • Experience with containerization and Infrastructure as Code (Docker, Terraform)
  • Knowledge of data structures, algorithms, and software design principles
  • Experience designing observability systems for AI applications

Business and Soft Skills

  • Communicates clearly and builds consensus across teams
  • Mentors colleagues and promotes knowledge sharing
  • Excellent written and verbal communication skills
  • Strong analytical thinking and problem-solving abilities
  • Ability to manage time effectively and prioritize competing demands
  • Self-motivated with demonstrated capacity to work independently
  • Experience working in Agile environments
  • Proficiency with Microsoft Office suite (Word, Excel, PowerPoint)
  • Understanding of ethical considerations in AI deployment

Position not available for immigration sponsorship

#LI-MB1

Principal AI Engineer - AI Transformation

At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.

The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.

Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being.You can learn more about those programs on our 53.com Careers page at: https://www.53.com/content/fifth-third/en/careers/benefits.html or by consulting with your talent acquisition partner.

LOCATION -- Cincinnati, Ohio 45202

Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes - no matter how they are submitted - will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.

Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.