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Senior Machine Learning Engineer Jobs in Cleveland, OH

Flexjet

Director of AI Engineering

Cleveland, OH · On-site

Combine strong engineering leadership with deep expertise in MLOps, cloud infrastructure, model ... Oversee the production deployment of machine learning and LLM-powered applications, including RAG ...

Deloitte

Forward Deployed Engineer- AWS

Cleveland, OH · On-site

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Flexjet

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

Flexjet

Director of AI Engineering

Cleveland, OH · On-site

$180 - $300/hr

Oversee the production deployment of machine learning and LLM‑powered applications, including RAG ... Lead, mentor, and grow teams of AI Engineers and MLOps Engineers, fostering engineering excellence ...

Flexjet LLC

Director of AI Engineering

Cleveland, OH · On-site

$180 - $260/hr

Oversee the production deployment of machine learning and LLM‑powered applications, including RAG ... Lead, mentor, and grow teams of AI Engineers and MLOps Engineers, fostering engineering excellence ...

Flexjet

Director of AI Engineering

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a Director of AI Engineering to lead the design, deployment, and operationalization of enterprise-scale machine learning and generative AI systems. This role is ...

Flexjet

Director of AI Engineering

Cleveland, OH

POSITION SUMMARY Flexjet is seeking a Director of AI Engineering to lead the design, deployment, and operationalization of enterprise-scale machine learning and generative AI systems. This role is ...

Further

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... Machine Learning applications. This is a high-impact role where you will set the standards for data ...

Further

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... Machine Learning applications. This is a high-impact role where you will set the standards for data ...

Further

Senior Data Engineer

Cleveland, OH · On-site

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... Machine Learning applications. This is a high-impact role where you will set the standards for data ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Cleveland, OH

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 11, 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:
Senior Machine Learning Engineer jobs near you
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.

Director of AI Engineering

Flexjet

Cleveland, OH • On-site

Full-time

Re-posted 5 days ago

Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

18th of 65 rated aviation services

Job description

POSITION SUMMARY

Flexjet is seeking a Director of AI Engineering to lead the design, deployment, and operationalization of enterprise-scale machine learning and generative AI systems. This role is responsible for building and managing the infrastructure, systems, and processes required to reliably deploy and maintain AI solutions in production. Combine strong engineering leadership with deep expertise in MLOps, cloud infrastructure, model lifecycle management, and Generative AI deployment. Lead a team of AI engineers and MLOps specialists to ensure scalable, secure, and compliant AI systems across the organization.

DUTIES & RESPONSIBILITIES

Lead the strategy, architecture, and implementation of enterprise AI, Generative AI, and MLOps platforms while establishing standards for model development, deployment, monitoring, governance, and lifecycle management.

Design and scale cloud-native AI infrastructure, including distributed compute environments, containerized platforms, CI/CD pipelines, and cost-optimized ML operations.

Oversee the production deployment of machine learning and LLM-powered applications, including RAG solutions, AI copilots, model evaluation frameworks, guardrails, and automated retraining processes.

Ensure compliance with responsible AI, security, risk management, data privacy, auditability, reproducibility, documentation, and regulatory requirements.

Build and manage reusable AI platform services and frameworks that support multiple data science and engineering teams.

Lead, mentor, and grow teams of AI Engineers and MLOps Engineers, fostering engineering excellence, innovation, talent development, and performance accountability.

Partner with Data Scientists, Software Engineering, Security, DevOps, and Product leadership teams to drive enterprise AI adoption and align technical strategy with business objectives.

Communicate AI platform vision, roadmap, and operational performance to executive stakeholders.

EDUCATION & EXPERIENCE

Bachelors or Masters degree in Computer Science, Information Technology, or a related field, or an equivalent combination of education, training, and relevant professional experience.

10+ years of experience in software engineering, machine learning engineering, platform engineering, MLOps, or DevOps.

5+ years of leadership experience managing and mentoring technical teams in fast-paced, technology-driven environments.

Experience implementing and deploying complex and integrated information systems.

Proven experience in leading application development teams in an enterprise environment.

Experience working with Agile methodology.

Experience in managing large projects including setting deadlines, identifying interdependencies, communicating with stakeholders, gathering requirements, and setting expectations.

REQUIRED TECHNICAL SKILLS & QUALIFICATIONS

Strong experience with MLOps and platform engineering, including model lifecycle management, CI/CD, model versioning, feature stores, experiment tracking, and automated retraining pipelines.

Proficiency with cloud and infrastructure technologies, including AWS, Azure, or Google Cloud Platform (GCP), Kubernetes, Docker, Terraform, and distributed systems.

Expertise in machine learning systems, including model deployment, monitoring and observability, data pipelines, and real-time inference architectures.

Experience with Generative AI and LLM technologies, including LLM deployment, Retrieval-Augmented Generation (RAG), prompt orchestration, model governance and guardrails, and cost optimization strategies.

Strong programming skills in Python, SQL, Bash, Git, and CI/CD tools.

PREFFERED QUALIFICATIONS

Experience deploying Generative AI and LLM solutions in large-scale enterprise environments.

Experience designing and supporting multi-tenant AI/ML platforms.

Familiarity with RAG architectures, vector databases, and LLM evaluation frameworks.

Experience managing GPU infrastructure and distributed training workloads.

Knowledge of AI security, governance, risk management, and regulatory compliance frameworks.

What Flexjet employees say

Pay

Benefits

Hours and flexibility

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