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Senior Machine Learning Engineer Jobs in Cincinnati, OH

Sabio infotech

Sr. Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

Sr. Machince Learning Engineer Location: Cincinnati OH (Hybrid - 3 Days Onsite) Duration: 1+ Year Key Responsibilities · Design, develop, deploy, and maintain scalable machine learning and ...

Incedo Inc

Senior Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

We are seeking an experienced Machine Learning Engineer with a strong bias for action, an ownership mindset, and a passion for solving complex business problems through automation and AI. The ideal ...

Deloitte

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 ...

Varsity Tutors

Machine Learning Tutor

Cincinnati, OH · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Novolex

Senior Machine Operator

Florence, KY

$24.14/hr

Senior Machine Operator Florence, KY Compensation Includes * Starting pay rate $24.14/hour Overview ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Senior Machine Operator

Florence, KY

$24.14/hr

Senior Machine Operator Florence, KY Compensation Includes * Starting pay rate $24.14/hour Overview ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Senior Machine Operator

Florence, KY

$24.14/hr

Senior Machine Operator Florence, KY Compensation Includes * Starting pay rate $24.14/hour Overview ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Senior Machine Operator

Florence, KY · On-site

$24.14/hr

Senior Machine Operator Florence, KY Compensation Includes * Starting pay rate $24.14/hour Overview ... Learning Management System that supports and enhances employee skills at all levels of the ...

Ultimus Fund Solutions

Senior AI Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

Position Summary The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise ... Architect and scale machine learning pipelines to support automated workflows across Fund ...

Deloitte

Senior Forward Deployed Engineer- AWS

Cincinnati, OH · On-site

$100K - $137K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Roadpass Digital

Senior AI/ML Engineer

Cincinnati, OH · On-site +1

$100K - $137K/yr

The Senior AI/ML Engineer applies deep expertise in machine learning, applied AI, and creative engineering to ship intelligent, product-driven solutions. This role partners with product, design, and ...

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

Senior Machine Learning Engineer information

See Cincinnati, OH salary details

$57.1K

$121.4K

$176.1K

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

As of Aug 31, 2026, the average yearly pay for senior machine learning engineer in Cincinnati, OH is $121,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $137,700.00 per year, depending on experience, location, and employer.

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

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

What are popular job titles related to Senior Machine Learning Engineer jobs in Cincinnati, OH?

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

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

The top searched job categories for Senior Machine Learning Engineer jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Senior Machine Learning Engineer jobs?

Cities near Cincinnati, 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 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 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $121,525 per year, or $58.4 per hour.

Senior Machine Learning Engineer

Cincinnati, OH • On-site

TUPPL Technology Inc
See more jobs at TUPPL Technology Incexternal

$100K - $137K/yr

Other

Posted 5 days ago

Job description

Role : Senior Machine Learning Engineer

Location: Cincinnati OH

Full-Time 

We are seeking an experienced Machine Learning Engineer with a strong bias for action, an ownership mindset, and a passion for solving complex business problems through automation and AI. The ideal candidate demonstrates technical excellence, leads by example, and has proven experience delivering enterprise-grade machine learning and Generative AI solutions in regulated environments.

Key Responsibilities

  • Design, develop, deploy, and maintain scalable machine learning and Generative AI solutions with a focus on reliability, performance, security, and business value.
  • Champion an automation-first approach to software and AI engineering, identifying opportunities to improve operational efficiency and reduce manual processes.
  • Build and operationalize machine learning models and AI-enabled applications throughout the entire model lifecycle, from experimentation to production deployment and monitoring.
  • Develop and deploy Generative AI applications in production environments, preferably within financial services or other highly regulated industries.
  • Apply and advocate Responsible AI principles, ensuring solutions meet requirements for fairness, explainability, transparency, privacy, security, and compliance.
  • Perform model risk evaluations, complete required governance documentation and questionnaires, and partner with stakeholders to address and remediate identified risks.
  • Establish and maintain frameworks for MLOps, model lifecycle management, monitoring, validation, version control, auditability, and AI governance.
  • Collaborate with Risk, Compliance, Information Security, and business partners to ensure machine learning solutions meet enterprise and regulatory standards.
  • Implement CI/CD pipelines, automated testing, model monitoring, observability, and production support processes for machine learning applications.
  • Evaluate emerging machine learning and AI technologies and recommend appropriate adoption strategies.
  • Mentor team members on best practices in machine learning engineering, MLOps, Responsible AI, and production AI systems.

Required Qualifications

  • Extensive experience designing, developing, and deploying machine learning solutions in production environments.
  • Hands-on experience developing and deploying Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development frameworks.
  • Strong understanding of machine learning model development, feature engineering, model evaluation, performance optimization, and model monitoring.
  • Experience conducting model risk assessments and supporting governance, compliance, and validation requirements within regulated environments.
  • Practical experience implementing MLOps practices including model deployment, versioning, monitoring, automated retraining, and CI/CD pipelines.
  • Strong understanding of Responsible AI, model explainability, governance, and risk management concepts.
  • Proficiency in Python and modern machine learning ecosystems, including frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, Semantic Kernel, or equivalent technologies.
  • Strong communication, problem-solving, and stakeholder management skills.

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