1

Mlops Engineer Jobs in Boston, MA (NOW HIRING)

Senior MLOps Engineer I

Boston, MA · On-site

$113K - $155K/yr

As the Senior MLOps Engineer I, you will help turn the models built by our ML Scientists, Data Scientists, and Perception Engineers into reliable, production-grade services. You'll work on the ...

Senior MLOps Engineer I

Boston, MA · On-site +1

$113K - $155K/yr

As the Senior MLOps Engineer I, you will help turn the models built by our ML Scientists, Data Scientists, and Perception Engineers into reliable, production-grade services. You'll work on the ...

Lead Engineer, MLOps

Boston, MA

$111K - $146K/yr

Lead and grow a team of engineers across ML infrastructure, MLOps, and embedded data science project work * Own the 1-2 year roadmap for improving the company's ML platform and operations research ...

Lead Engineer, MLOps

Boston, MA · On-site

$111K - $146K/yr

Lead and grow a team of engineers across ML infrastructure, MLOps, and embedded data science project work * Own the 1-2 year roadmap for improving the company's ML platform and operations research ...

Lead Engineer, MLOps

Boston, MA · On-site

$111K - $146K/yr

Lead and grow a team of engineers across ML infrastructure, MLOps, and embedded data science project work * Own the 1-2 year roadmap for improving the company's ML platform and operations research ...

next page

Showing results 1-20

Mlops Engineer information

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What do you need to be a MLOps engineer?

To become a MLOps engineer, you typically need a strong background in software engineering, machine learning, and cloud platforms. Proficiency in programming languages like Python, experience with containerization tools such as Docker, and knowledge of CI/CD pipelines are essential. Certifications in cloud services and familiarity with tools like Kubernetes and ML frameworks also enhance qualifications.

Who earns more, ML engineer or MLOps engineer?

MLOps engineers typically earn slightly more than ML engineers due to their focus on deploying, maintaining, and scaling machine learning systems, which requires expertise in cloud platforms, automation, and infrastructure. Salary differences can vary based on experience, location, and company size, but MLOps roles often command higher compensation because of their specialized skill set.

What are the most commonly searched types of Mlops Engineer jobs in Boston, MA?

The most popular types of Mlops Engineer jobs in Boston, MA are:

What are popular job titles related to Mlops Engineer jobs in Boston, MA?

For Mlops Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Mlops Engineer jobs in Boston, MA look for?

The top searched job categories for Mlops Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Mlops Engineer jobs?

Cities near Boston, MA with the most Mlops Engineer job openings:

Infographic showing various Mlops Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.