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Senior Machine Learning Ops Engineer Jobs (NOW HIRING)

Hirekeyz Inc

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118.20K - $162.30K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration: Long Term Contract Clearance: DOD Top Secret Clearance (Must) As a consultant, will be working to ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$112.10K - $154K/yr

The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

They are seeking a Senior Machine Learning Engineer to develop and maintain machine learning infrastructure, particularly for cash advance underwriting models and other applications, while ...

Adobe, Inc.

Senior Machine Learning Engineer

San Jose, CA · On-site

$122.40K - $168.10K/yr

Senior Machine Learning Engineer Agent Platform - Adobe Experience Platform THE OPPORTUNITY Build ... ML-Ops or Agent-Ops experience . You've built eval frameworks, execution tracing, drift detection ...

BILL

Senior Machine Learning Engineer

Draper, UT

$97.70K - $134.20K/yr

As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity ...

BILL

Senior Machine Learning Engineer

San Jose, CA

$122.50K - $168.20K/yr

As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity ...

Lorven Technologies

ML Ops Engineer

Concord, CA · On-site

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 ...

Taskrabbit

Senior Machine Learning Engineer

San Francisco, CA

$144.30K - $190.30K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

Adobe

Machine Learning Engineer 4

San Jose, CA · On-site

Adobe is looking for a Senior Machine Learning Engineer to help shape the future of agentic AI in ... Ops best practices, delivering high quality, production ready code. • Design and build ML ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site

$147.40K - $194.30K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

Charlie Health

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115.10K - $158K/yr

The Senior Machine Learning Engineer will design and evaluate machine learning models to improve clinical outcomes and enhance the matching process between patients and therapists. Responsibilities ...

Attentive

Senior Machine Learning Engineer

$107K - $146.90K/yr

As a Senior Machine Learning Engineer, you will build and operate production-grade ML systems that enhance real-time personalization across the platform, collaborating closely with product and ...

Attentive

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115.10K - $158K/yr

They are seeking a Senior Machine Learning Engineer to build, scale, and operate production-grade ML systems that drive real-time personalization across their platform, while collaborating closely ...

Taskrabbit

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144.30K - $190.30K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147.40K - $194.30K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

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Senior Machine Learning Ops Engineer information

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$59.5K

$126.6K

$183.5K

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

As of May 31, 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 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.

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.

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:
What job categories do people searching Senior Machine Learning Ops Engineer jobs look for? The top searched job categories for Senior Machine Learning Ops Engineer jobs are:
Senior Machine Learning Ops Engineer jobs near you
Infographic showing various Senior Machine Learning Ops Engineer job openings in the United States as of May 2026, with employment types broken down into 6% As Needed, 22% Full Time, 55% Part Time, and 17% Contract. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Sr. Machine Learning Engineer

Hirekeyz Inc

Fort Belvoir, VA • On-site

$118.20K - $162.30K/yr

Contractor

Posted 12 days ago

Job description

Role: Sr. Machine Learning Engineer

Location: Ft. Belvoir, VA (On-site with Hybrid Option)

Duration: Long Term Contract

Clearance: DOD Top Secret Clearance (Must)

Job Description:

As a consultant, will be working to assist a DoD U.S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS Services).  You will work directly the stakeholders to understand requirements and work with Army’s Security teams to ensure the technologies available to the Government can be turned into solutions that they can use. Liaise with government software vendors and other asset creators; lead coordination of point solutions into broader capabilities for Army Defense Cyber Operations (DCO).  You will be helping our military defend our cyber security infrastructure by delivering software capabilities. 

Required Skills:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
  • Master’s Degree in Data Science, Machine Learning, or a related field
  • Proven experience in a machine learning or AI engineering role
  • Strong proficiency in Python, C++, or Java
  • Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras
  • Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying ML solutions
  • Experience with data preprocessing, feature engineering, and model selection
  • Knowledge of data structures, algorithms, and software architecture
  • Excellent problem-solving abilities and attention to detail
  • Strong communication skills, with the ability to present complex technical concepts to non-technical stakeholders
  • Commitment to writing clean, efficient, and well-tested code
  • Self-motivated, with the ability to work effectively both independently and in a team environment

Preferred Skills:

  • Certifications in Machine Learning / Artificial Intelligence / Data Science
  • Familiarity with agile development methodologies
  • 3-5 years of experience in a ML/AI development role