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Entry Level Machine Learning Jobs in Cincinnati, OH

Proficient in programming languages such as Python and familiar with data science/machine learning ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Posted today

Machine Operator 1

KY

$20 - $21.50/hr

This entry-level production role supports the manufacturing process by ensuring products ... The workplace culture emphasizes safety, cleanliness, and continuous learning, providing a stable ...

Operate balancers and tire machines. * Complete work orders accurately. * Maintain and organize the ... Master-certified trainers, paid hands-on learning, plus a company tool program to help you build ...

Operate balancers and tire machines. * Complete work orders accurately. * Maintain and organize the ... Master-certified trainers, paid hands-on learning, plus a company tool program to help you build ...

Operate balancers and tire machines. * Complete work orders accurately. * Maintain and organize the ... Master-certified trainers, paid hands-on learning, plus a company tool program to help you build ...

Operate balancers and tire machines. * Complete work orders accurately. * Maintain and organize the ... Master-certified trainers, paid hands-on learning, plus a company tool program to help you build ...

Operate balancers and tire machines. * Complete work orders accurately. * Maintain and organize the ... Master-certified trainers, paid hands-on learning, plus a company tool program to help you build ...

Bag Catcher

Florence, KY · On-site

$19.02/hr

Report machine adjustments and repairs to be done to Collator Tender/Adjuster Supervisor * Inspect ... This is an entry level position * Must have ability to discern detail and make decisions about bag ...

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Entry Level Machine Learning information

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$11

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How much do entry level machine learning jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for entry level machine learning in Cincinnati, OH is $16.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $18.22 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

What are the most commonly searched types of Machine Learning jobs in Cincinnati, OH?

The most popular types of Machine Learning jobs in Cincinnati, OH are:

What are popular job titles related to Entry Level Machine Learning jobs in Cincinnati, OH?

For Entry Level Machine Learning jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning jobs in Cincinnati, OH look for?

The top searched job categories for Entry Level Machine Learning jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Entry Level Machine Learning jobs?

Cities near Cincinnati, OH with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $34,873 per year, or $16.8 per hour.

$85K - $122K/yr

Full-time

Re-posted 17 days ago


Procter & Gamble rating

8.2

Company rating: 8.2 out of 10

Based on 165 frontline employees who took The Breakroom Quiz

85th of 544 rated manufacturers


Job description

Job Location

CINCINNATI GENERAL OFFICES

Job Description

Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), including Generative and Agentic AI, we want you on our team at P&G.

As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. 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 contribute to the development of scalable Data Science algorithms. Your work will also integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. You will collaborate with Data andAI Engineeringteams to productionize these solutions, applying exploratory data analysis, feature engineering, and model buildingwithin cloud environmentson massive datasets to deliver accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.

Key Responsibilities:
  • Algorithm Design & Development:Directly contribute to the design and development of scalable Data Science algorithms.
  • Collaboration:Work closely with Data and Software Engineering teams to effectively productionize algorithms.
  • Data Analysis:Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
  • Coaching & Mentorship:Develop others as a technical coach, sharing your expertise and insights.
  • Expertise Development:Become a known expert in one or multiple Data Science techniques and methodologies.

Job Qualifications

Required Qualifications:

  • Education:Pursuing or has graduated with a Master's degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
  • Technical Skills:Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.Demonstrated ability to develop and test code within cloud environments.
  • Communication:Strong written and verbal communication skills, with the ability to influence others to take action.

Preferred Qualifications:

  • Analytic Methodologies:Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
  • Continuous Learning:A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
  • Data Handling & Cloud:Experience with large datasets anddeveloping incloud computing platforms such as GCP or Azure.
  • DevOps Familiarity:Familiarity with DevOps environments, including tools like Git and CI/CD practices.

Immigration Sponsorship is not available for this role. For more informationregardingwho is eligible for hire at P&G along with other work authorization FAQ's, please clickHERE.

Procter & Gambleparticipatesine-verifyas required by law.

Qualified individuals will not be disadvantaged based on being unemployed.

We will ensure that individuals with disabilities are provided reasonable accommodation toparticipatein the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Schedule

Full time

Job Number

R000135859

Job Segmentation

Entry Level

Starting Pay / Salary Range

$85,000.00 - $122,200.00 / year

What Procter & Gamble employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Procter & Gamble logo

About Procter & Gamble

Sourced by ZipRecruiter

Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.

Industry

Health and personal care stores

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1837