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Machine Learning Engineer Manager Jobs in Ohio (NOW HIRING)

Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain ...

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build ...

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build ...

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build ...

Sr. Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

... management, monitoring, validation, version control, auditability, and AI governance. · ... machine learning engineering, MLOps, Responsible AI, and production AI systems. Required ...

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 ...

We are seeking a Machine Learning Engineer II to join our product development team working on Incydr, our Insider Risk Management product. In this role, you will embrace the role of "full-stack" data ...

Job Overview We are seeking a highly skilled Machine Learning / Generative AI Engineer to join a ... Partner with Model Risk Management (MRM) teams for model evaluation, validation, documentation ...

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

We are seeking a Machine Learning Engineer II to join our product development team working on Incydr, our Insider Risk Management product. In this role, you will embrace the role of "full-stack" data ...

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

We are seeking a Machine Learning Engineer II to join our product development team working on Incydr, our Insider Risk Management product. In this role, you will embrace the role of "full-stack" data ...

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Showing results 1-20

Machine Learning Engineer Manager information

See Ohio salary details

$25.1K

$124.9K

$191.1K

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

As of Sep 8, 2026, the average yearly pay for machine learning engineer manager in Ohio is $124,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,553.00 and $152,658.00 per year, depending on experience, location, and employer.

What is a machine learning engineer manager?

Machine Learning Engineer Managers are professionals who lead teams of machine learning engineers in designing, developing, and deploying machine learning models and systems. They combine strong technical expertise in machine learning with leadership and project management skills to guide teams, set priorities, and ensure projects align with organizational goals. In addition to overseeing technical work, they are responsible for mentoring team members, collaborating with other departments, and staying updated on the latest ML technologies and best practices.

What are the main challenges machine learning engineer managers face when leading teams?

Machine Learning Engineer Managers often navigate the dual challenge of aligning technical innovation with business goals while supporting team growth. They must balance hands-on technical guidance with project management, ensuring that machine learning models are both cutting-edge and production-ready. Additionally, fostering collaboration between data scientists, engineers, and stakeholders is crucial to keeping projects on track and team members motivated. Managing shifting priorities and keeping up with rapid advancements in AI technology are also common aspects of the role.

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

To thrive as a Machine Learning Engineer Manager, you need a strong background in computer science, machine learning algorithms, and leadership, often supported by an advanced degree and experience managing technical teams. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and project management systems is essential, along with certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Excellent communication, strategic thinking, and mentorship abilities help foster team growth and drive project success. These skills are crucial for delivering impactful ML solutions, ensuring efficient team performance, and aligning technical work with organizational goals.

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

AspectMachine Learning Engineer ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; often leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentLeads ML teams, manages projects, collaborates with engineeringAnalyzes data, builds models, reports insights, collaborates with business units
Employer & Industry UsageTech companies, AI firms, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis and modeling skills

The main difference is that a Machine Learning Engineer Manager oversees ML teams and projects, focusing on leadership and strategy, while a Data Scientist primarily analyzes data and builds models to extract insights. Both roles require strong technical skills, but the manager role adds leadership responsibilities.

Are machine learning engineer managers still in demand?

Machine Learning Engineer Managers are in high demand due to the growing adoption of AI and data-driven solutions across industries. They require strong technical skills, leadership abilities, and knowledge of tools like Python, TensorFlow, and cloud platforms, making their roles critical in developing and overseeing AI projects.

What are the most commonly searched types of Machine Learning Engineer jobs in Ohio?

The most popular types of Machine Learning Engineer jobs in Ohio are:

Infographic showing various Machine Learning Engineer Manager job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $124,947 per year, or $60.1 per hour.

Machine Learning Engineer

Cleveland, OH • On-site

Flexjet LLC
Aerospace Product and Parts Manufacturing • 501 - 1,000 employees

$60 - $80/hr

Other

Re-posted 4 days ago


Flexjet rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

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Job description

Current job opportunities are posted here as they become available.


Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their career who is eager to develop hands-on experience with real-world ML systems.


DUTIES & RESPONSIBILITIES

  • Assist in developing and training machine learning models

  • Support the creation and maintenance of data pipelines

  • Help deploy ML models into production under guidance

  • Clean, preprocess, and analyze datasets for model training

  • Collaborate with team members to solve business problems using data

  • Monitor model performance and help troubleshoot issues

  • Document code, processes, and model behavior


REQUIRED SKILLS & QUALIFICATIONS

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)

  • Basic proficiency in Python

  • Familiarity with machine learning concepts (regression, classification, clustering)

  • Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)

  • Understanding of data structures and algorithms fundamentals

  • Basic knowledge of SQL and data handling


PREFERRED QUALIFICATIONS

  • Internship, academic project, or personal project experience in machine learning

  • Familiarity with Git and version control

  • Exposure to cloud platforms (AWS, Azure, or Google Cloud)

  • Basic understanding of APIs or web services

  • Experience with data visualization tools (e.g., Matplotlib, Seaborn)

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