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Python Ml Developer Jobs in Dayton, OH (NOW HIRING)

Honeywell

Sr Advanced Cloud Developer

Mason, OH

$56.50 - $73.25/hr

Hands-on experience deploying ML models in production environments. * Proficiency in Python and at ... Experience leading engineering teams or driving multi-team technical initiatives. * Contributions ...

Honeywell

Sr Advanced Cloud Developer

Mason, OH

$56.50 - $73.50/hr

Hands-on experience deploying ML models in production environments. * Proficiency in Python and at ... Experience leading engineering teams or driving multi-team technical initiatives. * Contributions ...

Honeywell

Sr Advanced Cloud Developer

Mason, OH

$56.50 - $73.25/hr

Hands-on experience deploying ML models in production environments. * Proficiency in Python and at ... Experience leading engineering teams or driving multi-team technical initiatives. * Contributions ...

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Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for python ml developer in Dayton, OH is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Dayton, OH? For Python Ml Developer jobs in Dayton, OH, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Dayton, OH look for? The top searched job categories for Python Ml Developer jobs in Dayton, OH are:
What cities near Dayton, OH are hiring for Python Ml Developer jobs? Cities near Dayton, OH with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Dayton, OH as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 6% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $118,514 per year, or $57 per hour.

Sr Advanced Cloud Developer

Honeywell

Mason, OH

$56.50 - $73.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 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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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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