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Machine Learning Operations Jobs in Ohio (NOW HIRING)

Honeywell

Sr Advanced Cloud Developer

Franklin, OH · On-site

$55.25 - $71.75/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

Lebanon, OH

$54.75 - $71.25/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

Cincinnati, OH

$54.75 - $71/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

Cincinnati, OH · On-site

$56.25 - $73.25/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

Middletown, OH · On-site

$56 - $73/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

South Lebanon, OH

$54.75 - $71/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

Morrow, OH · On-site

$48 - $62.50/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

Cincinnati, OH · On-site

$56.25 - $73.25/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

Mason, OH · On-site

$56.50 - $73.25/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

West Chester, OH · On-site

$56.50 - $73.50/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

West Chester, OH · On-site

$56.50 - $73.50/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

Mason, OH · On-site

$56.50 - $73.50/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

Sharonville, OH · On-site

$55 - $71.75/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

The Hartford

Senior AI Machine Learning Engineer

Columbus, OH · On-site

$118K - $156K/yr

The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ... Identify risks, bottlenecks, and operational gaps in deployed AI/ML solutions and recommend ...

Honeywell

Sr Advanced Cloud Developer

Blue Ash, OH · On-site

$55 - $71.75/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

Honeywell

Sr Advanced Cloud Developer

Mason, OH

$56.50 - $73.25/hr

This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...

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Showing results 41-60

All JobsMachine Learning Operations JobsMachine Learning Operations Jobs in Ohio

Machine Learning Operations information

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks above average compared to other tech roles.
Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in Ohio as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Sr Advanced Cloud Developer

Honeywell

Franklin, OH • On-site

$55.25 - $71.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

67th of 538 rated manufacturers

Job description

Job Description
We are seeking a highly experienced Sr Advanced Cloud Developer with deep expertise in cloud-native engineering, large-scale distributed systems, modern data platforms, and applied AI/ML. This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and elevate engineering excellence across the organization.
Responsibilities
KEY RESPONSIBILITIES
Cloud Engineering & Architecture
  • Architect and build cloud-native applications and platforms on Azure, AWS, or GCP.
  • Design serverless functions, and event-driven architectures.
  • Implement Infrastructure-as-Code using Terraform, ARM/Bicep, or CloudFormation.
  • Develop secure, automated CI/CD pipelines for continuous integration, deployment, and monitoring.
  • Optimize cloud compute, storage, networking, and data processing for performance and cost efficiency.
  • Enforce cloud security best practices, identity management, and compliance controls.

Software Engineering Excellence
  • Lead end-to-end development of mission-critical systems with a focus on performance, reliability, and maintainability.
  • Write high-quality, testable code in Python, Java, Scala, Go, or C#.
  • Conduct deep technical reviews and influence long-term architectural direction.
  • Drive engineering best practices across teams, including code quality, observability, and performance optimization.

AI, Machine Learning & MLOps
  • Build, train, evaluate, and deploy machine learning models using frameworks like PyTorch, TensorFlow, and Scikit-learn.
  • Design and maintain ML pipelines, including data ingestion, feature engineering, training, and model serving.
  • Implement MLOps workflows using MLflow, Feature Store, Databricks Model Serving, or cloud-native ML platforms.
  • Collaborate with data scientists to productionize models and ensure reliability, scalability, and observability.

Databricks & Data Engineering
  • Build scalable ETL/ELT pipelines using Databricks, Apache Spark, Delta Lake, and Auto Loader.
  • Optimize large-scale data processing jobs for performance and cost.
  • Implement data quality, governance, and lineage frameworks.
  • Manage Databricks clusters, jobs, workflows, and MLflow integrations.

Cross-Functional Collaboration
  • Partner with product, data science, cloud engineering, and platform teams to deliver end-to-end solutions.
  • Communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Mentor engineers and contribute to a culture of innovation, learning, and engineering excellence.

Qualifications
YOU MUST HAVE
  • 8-12+ years of professional software or cloud engineering experience.
  • Strong expertise in cloud-native development on Azure, AWS, or GCP.
  • Deep experience with Databricks, Apache Spark, Delta Lake, and large-scale data processing.
  • Hands-on experience deploying ML models in production environments.
  • Proficiency in Python and at least one additional language (Java, Scala, Go, C#, or TypeScript).
  • Strong understanding of distributed systems, microservices, and system design.
  • Experience with modern CI/CD pipelines.
  • Proven ability to deliver complex, high-impact systems at scale.

WE VALUE
  • Bachelor's degree or higher in Computer Science or related field
  • Experience with LLMs, vector databases, and modern AI architectures.
  • Expertise in serverless computing, event streaming (Kafka, Event Hubs), or real-time data processing.
  • Familiarity with cloud-native ML platforms (Azure ML, SageMaker, Vertex AI).
  • Strong background in cloud security, identity management, and compliance.
  • Experience leading engineering teams or driving multi-team technical initiatives.
  • Contributions to open-source or AI/ML communities.
  • Experience designing scalable microservices, APIs
  • Experience with Docker, Kubernetes

ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here (https://www.honeywell.com/us/en)
THE BUSINESS UNIT
Honeywell Industrial Automation enables process industry operations, creates world-class sensor technologies, automates supply chains, makes warehouses smarter, and improves worker safety. This combination builds on our core strengths in controls and automation technologies which in turn allows us to deliver better commercial outcomes for our customers. We enable customers to enhance the safety, sustainability, resiliency, and productivity of their people, plants, and assets.
BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here (https://benefits.honeywell.com/)
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: May 15, 2026
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here (https://www.honeywell.com/us/en)
THE BUSINESS UNIT
Honeywell Industrial Automation enables process industry operations, creates world-class sensor technologies, automates supply chains, makes warehouses smarter, and improves worker safety. This combination builds on our core strengths in controls and automation technologies which in turn allows us to deliver better commercial outcomes for our customers. We enable customers to enhance the safety, sustainability, resiliency and productivity of their people, plants and assets.
Honeywell recently announced plans to sell its Intelligrated (IGS) business to American Industrial Partners ("AIP"). At this time, we anticipate that the deal will close in the second half of 2026, subject to customary closing conditions. We expect this role, dedicated to the IGS business, will be part of this future transaction when it closes.
Intelligrated is currently unable to consider applicants who would require current or future sponsorship for employment authorization for this position. Candidates must be authorized to legally work in the United States without current or future sponsorship requirements.
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.
Required Skills
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What Honeywell employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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