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Artificial Intelligence Machine Learning Engineer Jobs in Springfield, OH

ClifyX

Machine Learning Engineer

Dayton, OH · On-site

ClifyX is a company that specializes in AI solutions, and they are seeking a Machine Learning Engineer. The role involves designing advanced ML models, managing MLOps pipelines, and collaborating ...

Core4ce

Senior AI/ML Engineer

Beavercreek, OH · On-site

$96K - $133K/yr

The AAIM Lab is seeking a Senior AI/ML Engineer to support a growing portfolio of artificial intelligence and machine learning initiatives. This role is intended for a technically strong, adaptable ...

Core4ce

Senior AI/ML Engineer

Beavercreek, OH · On-site

$130K - $150K/yr

The AAIM Lab is seeking a Senior AI/ML Engineer to support a growing portfolio of artificial intelligence and machine learning initiatives. This role is intended for a technically strong, adaptable ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Springfield, OH

Artificial Intelligence Machine Learning Engineer information

See Springfield, OH salary details

$28.4K

$116K

$174.3K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for artificial intelligence machine learning engineer in Springfield, OH is $115,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $139,600.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Springfield, OH look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Springfield, OH are:

What cities near Springfield, OH are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Springfield, OH with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Springfield, OH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $115,988 per year, or $55.8 per hour.

Artificial Intelligence/Machine Learning Engineer (Pending Contract Award)

Design Interactive

Dayton, OH • On-site

$110 - $160/hr

Other

Re-posted 20 days ago

Job description

Position: Artificial Intelligence/Machine Learning Engineer (Pending Contract Award)

Location: Dayton, OH

Job Id: 146

# of Openings: 1

Pipeline Requisition – Proposal (Anticipated Start: September 2026)

Location: Wright Patterson Air Force Base, Dayton, OH (subject to award)

Contract Type: Proposal Pipeline – Positions contingent upon contract award

Overview

We are building a talent pipeline in support of an upcoming contract proposal to provide advisory and assistance services to Air Force Life Cycle Management Center (AFLCMC) to support the National Air and Space Intelligence Center (NASIC) mission areas including engineering, analysis, information technology and cyber security, with anticipated work beginning in September 2026. This position will support NASIC’s production of technical intelligence; modernize capabilities; support intelligence community collaboration and Department of War (DoW) mission needs.

Work will be performed on-site at Wright Patterson Air Force Base, Dayton, OH, pending award.

Required Qualifications
  • Ability to obtain and maintain a DoD security clearance (Secret or TS/SCI depending on role)
  • Strong background directly aligned with the technical or analytical specialty area
  • Strong analytical, communication, and writing skills
  • For some roles, advanced degrees (MS/PhD) are preferred
Desired Qualifications
  • Experience supporting DoW, interagency, or national security missions is highly desirable
  • Experience within the National Air and Space Intelligence Center (NASIC) community.

We are currently gathering interest and pre-qualifying candidates for the potential role described below:

Artificial Intelligence/Machine Learning Engineer

The Artificial Intelligence/Machine Learning (AI/ML) Engineer provides engineering support to deliver secure, low‑risk technical solutions and effective program execution, including the integration of intelligent automation, AI, and machine learning. Responsibilities include developing and managing programs to guide digital transformation to cloud computing environments and the implementation of intelligent automation, AI and ML capabilities. The engineer leads programs that guide the application of hardware, software, and policy to modernize and adapt legacy systems for hybrid classified cloud environments. Additionally, the engineer develops and oversees programs that enable the adoption and operationalization of IA/AI/ML solutions, ensuring alignment with mission priorities, data strategies, and security requirements.

Desired Experience
  • Bachelor’s degree in computer science/engineering or related discipline
  • Minimum 5 years of related experience.
  • Requires proficiency in complete software development lifecycle.
  • 3+ years of experience in AL/ML-based solutions, including Python programming and deep learning frameworks such as PyTorch, TensorFlow, or Keras
  • Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval-Augmented Generation (RAG)-enabled solutions
  • Experience applying AI/ML research to develop AI/ML solutions
  • Knowledge of core AI/ML concepts, including clustering, regression, classification, algorithm selection, and model evaluation
  • Requires good oral and written communication skills, interpersonal skills, including ability to adapt and work effectively in a variety of configurations independently, as a member of a team, and in a matrix reporting environment.
  • Requires ability to prioritize tasks, show considerable initiative, resolve conflicts and handle complaints.

We encourage applications from candidates of all backgrounds, experiences, and abilities—including those from underrepresented communities in technology.

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