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Mlops Machine Learning Engineer Jobs in Cincinnati, OH

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 ... Establish and maintain frameworks for MLOps, model lifecycle management, monitoring, validation ...

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 ...

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Design and implement causal inference and causal machine learning solutions. * Measure the impact ... Build scalable, production-ready ML pipelines using software engineering and MLOps best practices.

ClifyX

AI/ML Senior Architect

Cincinnati, OH · On-site

... of DevOps and MLOps practices across teams. • Architect solutions on cloud platforms such as Amazon Web Services, Microsoft Azure Machine Learning, or Google Vertex AI. • Integrate with data ...

GE Aerospace

Software Engineer AI/ML

Evendale, OH · On-site

$109K - $132K/yr

... machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ... Establish MLOps practices including experiment tracking (MLflow, Weights & Biases), model ...

EssilorLuxottica Group

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

... machine learning platforms primarily on Azure, with exposure to multi-cloud environments (AWS, GCP ... Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust ...

EssilorLuxottica

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

... machine learning platforms primarily on Azure, with exposure to multi-cloud environments (AWS, GCP ... Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust ...

Essilor

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

... machine learning platforms primarily on Azure, with exposure to multi-cloud environments (AWS, GCP ... Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust ...

Hudson Manpower

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Machine Learning Data Enablement squad in the Data Insights Tribe Required: In office 4 days a week minimum (Monday-Thursday) We're hiring a Data Engineer to join our newly launched Machine Learning ...

Deloitte

Senior AI Engineer - SFL Scientific

Cincinnati, OH · On-site

$100K - $137K/yr

Our engineering team leverages emerging technologies and best practices across data security ... MLOps specializing in AI and Machine Learning deployment * 4+ years of experience in designing ...

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All JobsMlops Machine Learning Engineer JobsMlops Machine Learning Engineer Jobs in Cincinnati, OH

Mlops Machine Learning Engineer information

See Cincinnati, OH salary details

$30.2K

$123.6K

$185.7K

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

As of Aug 23, 2026, the average yearly pay for mlops machine learning engineer in Cincinnati, OH is $123,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $148,700.00 per year, depending on experience, location, and employer.

What does an MLOps machine learning engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

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

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.

How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

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

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

Are MLOps machine learning engineers in demand?

MLOps machine learning engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

Do MLOps Machine Learning Engineers need a degree?

MLOps Machine Learning Engineers typically do not require a formal degree but often have a background in computer science, data science, or related fields. Practical skills in machine learning, cloud platforms, and tools like Docker, Kubernetes, and CI/CD pipelines are highly valued. Certifications and hands-on experience can also enhance job prospects.

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

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

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

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

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

Cities near Cincinnati, OH with the most Mlops Machine Learning Engineer job openings:

Mlops Machine Learning Engineer jobs near you
Infographic showing various Mlops Machine Learning Engineer job openings in Cincinnati, OH as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 2% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $123,551 per year, or $59.4 per hour.

Machine Learning Engineer

Ruri Software Technologies LLC

Cincinnati, OH • On-site

Full-time

Posted 24 days ago

Job description

Job Title :Machine Learning Engineer (Senior Level)
Location :- Onsite: Cincinnati
Job Description:
Primary Skills: Python, Machine Learning, TensorFlow, PyTorch, MLOps, AWS/Azure/GCP, Docker, Kubernetes
Required Skills
• Strong Python expertise with NumPy, Pandas, Scikit-learn.
• Hands-on experience with TensorFlow and/or PyTorch.
• Experience building and deploying ML solutions on AWS, Azure, or GCP.
• Knowledge of ML pipelines, model evaluation, CI/CD, version control, and MLOps practices.
• Strong understanding of ML system design, performance optimization, and monitoring.
Preferred Skills
• Experience with MLflow, SageMaker, Azure ML or similar MLOps platforms.
• Knowledge of Docker, Kubernetes, Spark, or Ray.
• Experience with LLMs, Deep Learning, Transformers, Vector Databases, and ML Governance.
• Prior experience leading ML projects or mentoring teams.
Key Responsibilities
• Design, build, deploy, and maintain ML models and end-to-end ML pipelines.
• Perform data preparation, feature engineering, model training, evaluation, and optimization.
• Deploy and monitor models in production, including model drift detection and retraining.
• Collaborate with data engineering, DevOps, and business teams to deliver scalable ML solutions.
• Architect enterprise-scale ML systems and drive MLOps, automation, governance, and reliability initiatives.
• Mentor engineers, provide technical leadership, and evaluate emerging AI/ML technologies.
Years of Experience: 12.00 Years of Experience
Regards
Surya
surya@rurisoft.com

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