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Machine Learning Operations Mlops Jobs (NOW HIRING)

Agzen

$77K - $105K/yr

About the Role We are looking for a sharp, tenacious, and thorough Senior Machine Learning Operations (MLOps) Engineer to join our team. As part of the the perception team, you'll own the operational ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$60 - $120K/hr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation ... Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$60 - $120K/hr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation ... Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$60 - $120K/hr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation ... Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$60 - $120K/hr

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation ... Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ...

Nextgen

ML Operations Engineer

$71K - $96K/yr

The Machine Learning Operations (MLOps) Engineer will support our AI/ML initiatives by streamlining the deployment, monitoring, and scaling of machine learning models in production environments. The ...

Mosai

Machine Learning Operations Engineer

Jacksonville, FL · On-site

$49 - $67/hr

Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer ... Create and maintain documentation, runbooks, and best practices for model operations and system ...

Mosai

Machine Learning Operations Engineer

Nashville, TN · On-site

$51 - $69.75/hr

Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer ... Create and maintain documentation, runbooks, and best practices for model operations and system ...

Mosai

Machine Learning Operations Engineer

Jacksonville, FL · On-site

$47.50 - $65/hr

Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer ... Create and maintain documentation, runbooks, and best practices for model operations and system ...

Mosai

Machine Learning Operations Engineer

Jacksonville, FL · On-site +1

$47.50 - $65/hr

Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer ... Create and maintain documentation, runbooks, and best practices for model operations and system ...

HeadHR

NY · On-site

... Machine Learning oraz LLM zgodnie z najlepszymi praktykami MLOps / LLMOps, * rozwój i utrzymanie ... , Architektury oraz Security, * rekomendowanie nowych technologii i usprawnień w obszarze ...

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Machine Learning Operations Mlops information

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How much do machine learning operations mlops jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for machine learning operations mlops in the United States is $39.89, according to ZipRecruiter salary data. Most workers in this role earn between $33.41 and $42.31 per hour, depending on experience, location, and employer.

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

AspectMachine Learning Operations (MLOps)Data Scientist
Primary FocusDeploying, monitoring, and maintaining ML models in productionDeveloping and analyzing data models, insights, and algorithms
Required SkillsMachine learning, DevOps, cloud platforms, automationStatistics, data analysis, programming, machine learning
Work EnvironmentProduction environments, cloud infrastructure, cross-functional teamsResearch, data analysis, model development in labs or offices
CertificationsCloud certifications, ML certifications, DevOps toolsData science certifications, programming skills, statistical expertise

While both roles involve machine learning, MLOps focuses on deploying and maintaining models in production environments, ensuring scalability and reliability. Data scientists primarily develop models and analyze data to generate insights. Understanding these differences helps organizations assign the right talent for each stage of the ML lifecycle.

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Machine Learning Operations Mlops jobs near you
Infographic showing various Machine Learning Operations Mlops job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $82,973 per year, or $39.9 per hour.

Machine Learning Operations Contractor

Fremont, CA • On-site

II-VI Aerospace & Defense
Aerospace Product and Parts Manufacturing • 201 - 500 employees
Learn more about II-VI Aerospace & Defenseexternal

Full-time

Re-posted 20 days ago

Job description


We are seeking a Machine Learning Operations (MLOps) Contractor to drive semiconductor laser design and manufacturing excellence through the development and deployment of AI/ML within production. The emphasis will be on yield improvement, screening accuracy, and design optimization. The MLOps Contractor will develop and validate models based on extensive production data and deploy scalable models through a combination of cloud-based infrastructure and on-premises high performance inference. This position represents a unique opportunity to make an impactful contribution to the laser manufacturing industry and to pioneer AI/ML integration across Coherent international manufacturing sites. This is a contract-based position, ideal for a data scientist or engineer with strong AI/ML expertise and a background in photonics, semiconductor device physics, or semiconductor manufacturing.
Primary Duties & Responsibilities
Data Processing and Model Development
  • Enhance data pipelines across wafer processes, die-level test, and experimentation.
  • Develop supervised and unsupervised models for yield prediction and performance screening.
  • The ideal candidate will be proficient in data pre-processing, feature extraction, dimensionality reduction, clustering, classification, and regression.
  • Experience with NN architectures such as CNNs, AEs, GANs and with ensemble learning methods including gradient boosting and random forests is preferred.

Validation and Deployment
  • Apply model selection to identify effective approaches and validate models using known techniques.
  • Integrate domain knowledge from semiconductor laser physics into ML models for improved interpretability. Familiarity with inverse design concepts is a plus.

Collaboration and Reporting
  • Work closely with photonics researchers and process engineers to align ML approaches with experimental and production objectives and quantify cost-benefit analysis.
  • Document methodologies, model performance, and research findings clearly.
  • Provide regular updates and deliverables to project stakeholders.

Education & Experience
  • B.S. with 5-year industry experience or M.S./ Ph.D. with 2-year industry experience in Electrical Engineering, Computer Science, Physics, Photonics, or related field.
  • Proven track record in AI/ML deployment and integration within high visibility projects.

Skills
  • Expertise with ML frameworks: TensorFlow, PyTorch, scikit-learn.
  • Proficiency in both Python and C/C++ programming data structures for performance optimization
  • Experience in high-performance ML inference (LibTorch, CUDA, ONNX)
  • Experience with cloud-based ML platforms (AWS, GCP, Azure) and MLOps platforms such as Kubernetes
  • Ability to visualize and communicate insights effectively
  • Background in photonics, semiconductor devices, or manufacturing yield optimization is a strong plus

Working Conditions
  • On-site
  • 6-12 months temporary assignment

Safety Requirements
All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.
Quality and Environmental Responsibilities
Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.
Culture Commitment
Ensure adherence to company's values (ICARE) in all aspects of your position at Coherent Corp.:
Integrity - Create an Environment of Trust
Collaboration - Innovate Through the Sharing of Ideas
Accountability - Own the Process and the Outcome
Respect - Recognize the Value in Everyone
Enthusiasm - Find a Sense of Purpose in Work
Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
If you need assistance or an accommodation due to a disability, you may contact us at talentacquisition@coherent.com.
About Us
Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!
Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.

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