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Senior Machine Learning Engineer Jobs in Springboro, 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 ...

Socket.dev

Machine Learning Engineer (Materials)

Dayton, OH · On-site

$90 - $135/hr

Learn more at www.cfd-research.com Machine Learning Engineer (Materials) (Huntsville, AL - OR - Dayton, OH) The engineer in this role will join a multidisciplinary R&D team focused on the development ...

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GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small ... Develop and integrate machine learning workflows - including training data preparation, model ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small ... Develop and integrate machine learning workflows -- including training data preparation, model ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site

$119K - $157K/yr

What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small ... Develop and integrate machine learning workflows - including training data preparation, model ...

Skyline Scientific Inc

Software Engineer, Senior

Dayton, OH · On-site

$114K - $150K/yr

Software Engineer, Senior JOB SUMMARY Are you looking for more than just a seat on a contract? Are ... You also do not need to be a machine learning research scientist. You do need to be a strong coder ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Springboro, OH

Senior Machine Learning Engineer information

See Springboro, OH salary details

$52.5K

$111.6K

$161.8K

How much do senior machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior machine learning engineer in Springboro, OH is $111,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $126,500.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Springboro, OH are hiring for Senior Machine Learning Engineer jobs? Cities near Springboro, OH with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Springboro, OH as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $111,588 per year, or $53.6 per hour.

Machine Learning Engineer

Radiance Technologies

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 13 hours ago

Job description

Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Additionally, this position will improve upon current methods for the automated processing and exploitation of large data sets. This will include R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to detect, track, and characterize targets of interest.

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

Required Experience:

  • A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)

  • Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering

Required Skills & Qualifications:

  • Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field

  • Strong programming skills in at least one of the following languages Python, Matlab, C++

  • Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras

  • Active Secret Clearance with ability to obtain and maintain a TS/SCI

Desired Skills:

  • ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience

  • PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired

  • A mathematical background (Probability and Statistics)

  • An experienced grasp of version control using Git for nonlinear workflows

  • Thorough understanding of working in research, development and production environments

  • Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus

  • R&D on remotely sensed data to include modeling and development of algorithms.

  • Ability to work independently or in a team environment

  • Strong technical writing and oral communication skills

  • Active Top Secret/SCI clearance

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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