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Temporary Machine Learning Ops Engineer Jobs (NOW HIRING)

Machine Learning Ops Engineer to build & support scalable, highly available and robust Machine Learning (Client) /Deep Learning (DL) platform using Client/DL frameworks, High-Performance Computing ...

Sr. Machine Learning Ops Engineer

Los Angeles, CA · On-site

$140K - $179K/yr

They are seeking a Senior Machine Learning Ops Engineer to lead the design and maintenance of scalable infrastructure for ML model deployment and lifecycle management, with a focus on productionizing ...

Adtech seeks a motivated, career and customer-oriented SME Machine Learning Ops Engineer . This is currently a hybrid position with two days onsite in Ashburn, VA and three days remote. In this role ...

Sr. Machine Learning Ops Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

CIM Group is a community-focused real estate and infrastructure company seeking a Senior ML Ops Engineer to lead the design and maintenance of scalable infrastructure for ML model deployment and ...

As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the Data Science team and the Data Engineers and DevOps teams in order to deploy machine learning models.

ML Ops Engineer Concord CA Contract Cleint Round - Inperson Overview Tachyon Cortex Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key ...

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Temporary Machine Learning Ops Engineer information

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$128.8K

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How much do temporary machine learning ops engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for temporary machine learning ops engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.
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Machine Learning Ops Engineer

Hatch Global Search

Tinton Falls, NJ

Other

Posted 16 days ago


Job description

ML Ops Engineers
Our client is a growing software company. Several key positions have opened because of this expansion including Machine Learning Ops Engineers at Senior and Principal levels with machine learning experience. These are hybrid positions in Monmouth County. If you have solid computer science fundamentals (data structures, algorithms, etc.) and experience with C or Python and Linux you may qualify for one of these exceptional opportunities.
The ML Ops Engineer roles involve deploying, managing, and optimizing machine learning systems and pipelines, with a focus on ransomware acquisition and analysis operations. Key responsibilities include managing cloud services, data pipelines, and system administration tasks while collaborating with cross-functional teams to ensure seamless integration of ML models. Proficiency in Python, shell scripting, VMware administration, and data analysis is essential. Strong problem-solving, communication, and teamwork skills, along with experience in ML model deployment and pipeline management, are critical for success in this role. Full job description is available.
Requirements include: BS, MS or PhD in CS, CE, EE, Math, or other technical discipline; Machine Learning Ops knowledge; a few years of software development; team player with great interpersonal skills; desire to contribute and learn;
Locations Marlboro Township, Tinton Falls, Middletown, Matawan