ZipRecruiter

Log In

1

Senior Machine Learning Ops Engineer Jobs (NOW HIRING)

RELX Group plc

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 ...

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the Data Science ... Liaise with senior stakeholders across the Data function and the wider business * Use industry best ...

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will ...

Zencastr

Senior Machine Learning Engineer (Remote)

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to design and develop machine learning ... • Good dev ops experience • Advanced DSP experience • MongoDB or SQL experience • ...

Imh

$51.25 - $70.25/hr

Machine Learning Ops Engineers are responsible for working closely with our data scientists, data ... The Senior level Machine Learning Operations Engineer works on projects that are highly complex in ...

New

Rapidtrade

Senior Machine Learning Engineer

Manhattan, NY · On-site

$180 - $240/hr

About the Role We're looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving ...

New

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our ... Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers

Adobe

Senior Machine Learning Engineer

San Jose, CA · On-site

$122K - $168K/yr

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

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Scientist JobsSenior Machine Learning Ops Engineer Jobs

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 Aug 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 is a senior machine learning ops engineer?

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 are the key skills and qualifications needed to thrive as a senior machine learning ops engineer?

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.

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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Machine Learning Ops Eng II

Boston Children's Hospital

Westwood, MA • On-site

$95 - $130/hr

Other

Posted 2 days ago

New

Job description

Position Summary

The ML Ops Engineer II at Boston Children’s Hospital is an integral part of the Data Science team within Enterprise Data & Analytics in BCH IT. This role is pivotal in developing and scaling advanced AI and machine learning projects, enhancing data frameworks, and optimizing data flows to support the hospital’s strategic initiatives. The ML Ops Engineer II works in close collaboration with data scientists and various stakeholders across the hospital to develop solutions that improve patient care outcomes and operational efficiency. Focused on innovation and technological advancement, the ML Ops Engineer II ensures the robust integration of data science into clinical and administrative processes.

Technical Skills
  • Proficient in SQL and an understanding of database management systems.
  • Familiarity with ETL tools; experience with debt is highly advantageous.
  • Strong capabilities in Python or another advanced scripting language, essential for AI and machine learning model development.
  • Experience with cloud-based data platforms and tools such as AWS, Azure, or GCP is a plus.
Analytical Skills
  • Strong problem-solving abilities and adeptness in handling complex data sets.
  • Ability to apply analytical rigor to understand, interpret, and leverage data to drive decision-making.
Project Management Skills
  • Demonstrated experience in managing multiple projects, including developing project plans, tracking progress, and adjusting resources and timelines.
  • Ability to coordinate efforts across different teams and ensure project milestones are met.
Leadership and Mentorship
  • Experience mentoring junior engineers and providing guidance on best practices in data engineering and AI model development.
  • Ability to lead code reviews and foster a collaborative and innovative team environment.
Communication
  • Excellent interpersonal and communication skills, essential for effective collaboration with cross-functional teams.
  • Capable of clearly articulating technical concepts to non-technical stakeholders, ensuring alignment and understanding across diverse teams.
Education
  • Bachelor's Degree or comparable experience required
  • Master's Degree preferred
Experience

3-5 years of relevant experience in data engineering, including project leadership responsibilities and advanced technical contributions to AI or machine learning projects.

#J-18808-Ljbffr

Apply