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Entry Level Machine Learning Engineer Jobs in Dayton, OH

Data Scientist II

Dayton, OH · On-site +1

$83K - $132K/yr

Working knowledge of predictive modeling and machine learning algorithms such as generalized linear ... Proficient in feature engineering techniques and exploratory data analysis * Familiarity with ...

Software Engineer Location: Beavercreek, OH (Relocation assistance is available) Minimum Clearance ... Experience with TensorFlow or machine learning applications. * Experience with Kubernetes, Nomad or ...

New

... programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific ...

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data ... Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.

Data Analyst

Mason, OH · On-site +1

... programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific ...

... programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific ...

As a Signatures Modeling Engineer, you will apply your skills and critical thinking to a wide ... Machine Learning/Artificial Intelligence ElectronicWarfare NKE If you're looking for comfort, keep ...

As a Signatures Modeling Engineer, you will apply your skills and critical thinking to a wide ... Machine Learning/Artificial Intelligence ElectronicWarfare NKE If you're looking for comfort, keep ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Dayton, OH salary details

$29.2K

$67.4K

$114.7K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level machine learning engineer in Dayton, OH is $67,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,300.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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

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

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

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

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

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

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

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

Infographic showing various Entry Level Machine Learning Engineer job openings in Dayton, OH as of August 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 71% In-person, 14% Hybrid, and 15% Remote job distribution, with an average salary of $67,417 per year, or $32.4 per hour.

Data Scientist II

CareSource

Dayton, OH • On-site, Remote

$83K - $132K/yr

Full-time

Re-posted 4 days ago


CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

204th of 308 rated insurance


Job description

Job Summary:
The Data Scientist II is responsible for designing and validating predictive models, machine learning models, and artificial intelligence that inform and improve business processes across the organization (operational, clinical, financial, marketing, etc.).
Essential Functions:
  • Create, maintain, and communicate an analytical plan for each project
  • Mine and analyze large structured and unstructured datasets
  • Employ wide range of data sources to develop algorithms for predicting risk and understanding drivers, detecting outliers, etc.
  • Develop visualizations that demonstrate the efficacy of developed algorithms
  • Provide statistical validation and analysis of outcomes associated with clinical programs and interventions
  • Collaborate with other teams to integrate with existing solutions
  • Communicate results and ideas to key stakeholders
  • Prepare code for operationalization of end-to-end model pipeline and deliverable for business consumption
  • Perform any other job duties as requested

Education and Experience:
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other related field or equivalent years of relevant work experience is required
  • Minimum of three (3) years of experience in data analysis and/or analytic programming required
  • Experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflakes) is preferred
  • Healthcare experience is preferred

Competencies, Knowledge, and Skills:
  • Proficient in SQL and at least one of the following programming languages: Python or R
  • Preferred beginner level of knowledge of developing reports or dashboards in Power BI or other business intelligence applications
  • Ability to perform basic statistical analyses and techniques including A/B testing, general significance testing, and sampling methodologies
  • Working knowledge of predictive modeling and machine learning algorithms such as generalized linear models, non-linear supervised learning models, clustering, decision trees, dimensionality reduction and natural language processing
  • Proficient in feature engineering techniques and exploratory data analysis
  • Familiarity with optimization techniques and artificial intelligence methods
  • Ability to analyze large quantities of information and identify patterns, irregularities, and deficiencies
  • Proficient with MS office (Excel, PowerPoint, Word, Access)
  • Demonstrated critical thinking, verbal communication, presentation and written communication skills
  • Ability to work independently and within a cross-functional team environment

Licensure and Certification:
  • None

Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time

Compensation Range:
$83,000.00 - $132,800.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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Brand=CareSource

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