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Senior Machine Learning Ops Engineer Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global ... About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI ...

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global ... About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI ...

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global ... About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global ... About the role, as a Senior Machine Learning Engineer you'll work onAI-based features (GenAI ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global ... About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global ... About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI ...

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global ... About the role, as a Senior Machine Learning Engineer you'll work onAI-based features (GenAI ...

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Showing results 1-20

Senior Machine Learning Ops Engineer information

See salary details

$59.5K

$126.6K

$183.5K

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

As of Jun 20, 2026, the average yearly pay for senior machine learning ops engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Ops Engineer, and why are they important?

To thrive as a Senior Machine Learning Ops Engineer, you need expertise in machine learning, software engineering, cloud platforms, and experience with CI/CD pipelines, often supported by a computer science degree or equivalent experience. Proficiency with tools like Docker, Kubernetes, TensorFlow, PyTorch, and cloud services such as AWS, GCP, or Azure is typically required, along with familiarity with MLOps frameworks. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and manage complex ML model deployments. These skills are essential to ensure reliable, scalable, and efficient deployment of machine learning models in production environments.

What are some common challenges faced by Senior Machine Learning Ops Engineers when deploying models to production?

Senior Machine Learning Ops Engineers often encounter challenges such as ensuring model reproducibility, managing model versioning, and automating deployment pipelines for scalability. Another key challenge is monitoring model performance and data drift in production, which requires robust logging and alerting systems. Collaborating closely with data scientists, software engineers, and IT teams is essential to address these challenges and maintain a stable, efficient ML infrastructure.

What is the difference between Senior Machine Learning Ops Engineer vs Data Engineer?

AspectSenior Machine Learning Ops EngineerData Engineer
CredentialsExperience with ML frameworks, cloud platforms, scripting, and DevOps toolsStrong SQL, ETL, database, and programming skills, often with cloud experience
Work EnvironmentFocus on deploying, monitoring, and maintaining ML models in productionDesigning and building data pipelines and infrastructure for data processing
Industry UsageCommon in AI/ML-focused companies, tech firms, and data-driven organizationsWidespread across industries for data management and analytics

While both roles involve working with data and cloud platforms, the Senior Machine Learning Ops Engineer specializes in deploying and maintaining machine learning models, whereas the Data Engineer focuses on building data pipelines and infrastructure. Understanding these distinctions helps in choosing the right career path or job search focus.

What are Senior Machine Learning Ops Engineers?

Senior Machine Learning Ops (MLOps) Engineers are experienced professionals who design, build, and maintain the infrastructure and tools needed to deploy, monitor, and scale machine learning models in production environments. They work at the intersection of data science, software engineering, and DevOps to ensure ML models are robust, reliable, and secure. Their responsibilities often include automating model training pipelines, managing cloud resources, implementing CI/CD for ML, and ensuring model reproducibility. Senior MLOps Engineers also mentor junior staff and help define best practices for the organization’s ML workflow.
More about Senior Machine Learning Ops Engineer jobs
What cities are hiring for Senior Machine Learning Ops Engineer jobs? Cities with the most Senior Machine Learning Ops Engineer job openings:
What are the most commonly searched types of Machine Learning Ops Engineer jobs? The most popular types of Machine Learning Ops Engineer jobs are:
What states have the most Senior Machine Learning Ops Engineer jobs? States with the most job openings for Senior Machine Learning Ops Engineer jobs include:
Infographic showing various Senior Machine Learning Ops Engineer job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, 36% Part Time, 6% Temporary, 15% Contract, and 3% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Machine Learning Ops Engineer

Hatch Global Search

Tinton Falls, NJ

Other

Posted 17 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