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Senior Machine Learning Engineer Jobs in Cleveland, OH

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 ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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 ...

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

Machine Learning Tutor

Akron, 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 ...

POSITION SUMMARY Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop ... machine learning engineering, platform engineering, MLOps, or DevOps. Experience building and ...

Senior Data Scientist

Cleveland, OH · On-site

$120 - $190/hr

Overview Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop, and ... machine learning engineering, platform engineering, MLOps, or DevOps. * Experience building and ...

Senior Data Scientist

Cleveland, OH · On-site

$120 - $180/hr

Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop, and deploy ... machine learning engineering, platform engineering, MLOps, or DevOps. * Experience building and ...

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

As an AI Engineer, you will be responsible for designing, implementing, testing and maintaining ... The ideal candidate will have a strong background in AI, machine learning and data science, with ...

POSITION SUMMARY Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop ... machine learning engineering, platform engineering, MLOps, or DevOps. · Experience building and ...

POSITION SUMMARY Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop ... machine learning engineering, platform engineering, MLOps, or DevOps. • Experience building and ...

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Showing results 1-20

Senior Machine Learning Engineer information

See Cleveland, OH salary details

$57.7K

$122.7K

$178K

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

As of Aug 10, 2026, the average yearly pay for senior machine learning engineer in Cleveland, OH is $122,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $139,200.00 per year, depending on experience, location, and employer.

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 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 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 Cleveland, OH? The most popular types of Machine Learning Engineer jobs in Cleveland, OH are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Cleveland, OH? For Senior Machine Learning Engineer jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Cleveland, OH look for? The top searched job categories for Senior Machine Learning Engineer jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Senior Machine Learning Engineer jobs? Cities near Cleveland, OH with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $122,739 per year, or $59 per hour.

Senior Machine Learning Engineer (GenAI / Production Systems)

GHR Healthcare

Cleveland, OH • On-site

$80 - $120/hr

Other

Posted 18 days ago


Job description

We are seeking a Senior Machine Learning Engineer to join a high-impact, enterprise AI initiative focused on building production-grade machine learning and generative AI systems in a complex, data-rich environment.

This is an Onsite, Contract position C2C) working on real-world systems that require scalability, reliability, and measurable business impact—not experimental or research-only work.

  • Must have hands-on experience building and deploying ML systems in production
  • Must have experience working with sensitive, regulated, or compliance-driven data environments
  • No third-party submissions / no C2C

What You’ll Be Doing
  • Design and build end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment → monitoring)
  • Develop and deploy LLM / GenAI solutions (RAG, NLP, prompt engineering, vector search)
  • Work with large, complex structured and unstructured datasets
  • Build scalable, production-ready services using modern cloud infrastructure
  • Partner with stakeholders to translate real business problems into ML solutions
  • Implement model monitoring, drift detection, and retraining strategies

What We’re Looking For
  • 7+ years of experience as a Machine Learning Engineer (not just Data Scientist/Analyst)
  • Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Hands-on experience with:
    • ML pipelines / MLOps (CI/CD, model deployment, monitoring)
    • Cloud platforms (Google Cloud Platform)
    • Containerization (Docker, Kubernetes preferred)
  • Experience with GenAI / LLMs (RAG, embeddings, vector databases, LangChain, etc.)
  • Experience working with regulated or high-sensitivity data environments (financial, healthcare, gov, etc.)
  • Strong communication skills and ability to work cross-functionally

To Be Considered, Please Include:

(Resumes without this will NOT be reviewed)

In your resume or submission, briefly describe:

  1. A production ML system you built and deployed (what problem it solved, scale, tools used)
  2. A GenAI / LLM use case you’ve implemented (RAG, NLP, etc.)
  3. The type of data environment you worked in (regulated, high-compliance, etc.)
Why This Role
  • Work on real-world ML systems at scale
  • High visibility, high impact work
  • Collaborative, engineering-focused team
  • Rate: $80 - $120/hour (plus per diem)