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Senior Mlops Engineer Jobs (NOW HIRING)

Apptronik

Staff MLOps Engineer

Austin, TX · On-site

Mentor mid-level and senior engineers on the MLOps team through code review, design review, and direct collaboration. * Influence: Partner with the Training Infrastructure engineer on the cluster ...

Grindr

Senior Staff MLOps Engineer

Chicago, IL · On-site

$190K - $315K/yr

As a Staff MLOps Engineer, you will build and own the infrastructure, tooling, and scalable systems that make high-impact AI possible. You'll architect and maintain the platforms that power data ...

CDW

Senior ML, MLOps Engineer

Vernon Hills, IL

$101K - $139K/yr

The Senior ML / MLOps Engineer designs, builds, and operates scalable machine learning solutions on the Databricks platform. This role partners closely with data scientists and analytics teams to ...

CDW

Senior ML, MLOps Engineer

$107K - $146K/yr

The Senior ML / MLOps Engineer designs, builds, and operates scalable machine learning solutions on the Databricks platform. This role partners closely with data scientists and analytics teams to ...

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

Our engineers and researchers are responsible for architecting and developing these ML services end ... Liaise with senior stakeholders across the Data function and the wider business * Use industry best ...

CDW

WV

$94K - $129K/yr

The Senior ML / MLOps Engineer designs, builds, and operates scalable machine learning solutions on the Databricks platform. This role partners closely with data scientists and analytics teams to ...

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Senior Mlops Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior mlops engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for senior mlops 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 MLOps Engineer, and why are they important?

To thrive as a Senior MLOps Engineer, you need deep expertise in machine learning workflows, software engineering, and cloud infrastructure, typically supported by a degree in computer science or related fields. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and platforms such as AWS, GCP, or Azure, as well as certifications in cloud or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills set standout professionals apart in this role. These skills and qualities are crucial to ensuring robust, scalable, and efficient deployment of machine learning models in production environments.

What is the difference between Senior Mlops Engineer vs Data Scientist?

AspectSenior Mlops EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with ML deployment toolsBachelor's/Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in productionFocus on data analysis, model development, and insights generation
Industry UsageUsed in tech, finance, healthcare for ML deploymentUsed across industries for data analysis and modeling

The main difference is that Senior Mlops Engineers specialize in deploying and maintaining machine learning models in production environments, while Data Scientists focus on developing models and analyzing data. Both roles require strong technical skills, but their day-to-day tasks and focus areas differ significantly.

What are some common challenges Senior MLOps Engineers face when deploying machine learning models to production environments?

Senior MLOps Engineers often encounter challenges such as managing model versioning, ensuring reproducibility, and scaling deployments across diverse infrastructure. Balancing the needs of data scientists for experimentation with the stability and reliability requirements of production systems can be complex. Additionally, integrating continuous integration and continuous deployment (CI/CD) pipelines for ML workflows and monitoring model performance post-deployment are ongoing responsibilities. Collaboration with data scientists, software engineers, and IT operations is crucial to address these challenges and maintain robust, efficient ML systems.

What is a Senior MLOps Engineer?

A Senior MLOps Engineer is an experienced professional who bridges the gap between data science, machine learning, and software engineering. They are responsible for designing, deploying, and maintaining scalable machine learning systems in production environments. Their role involves automating workflows, monitoring model performance, ensuring reproducibility, and managing the infrastructure needed to support machine learning operations. Senior MLOps Engineers also collaborate with data scientists, software developers, and IT teams to ensure smooth integration and continuous delivery of ML models. They play a crucial role in making machine learning solutions reliable, efficient, and scalable for business applications.
More about Senior Mlops Engineer jobs
What cities are hiring for Senior Mlops Engineer jobs? Cities with the most Senior Mlops Engineer job openings:
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Senior Mlops Engineer jobs near you
Infographic showing various Senior Mlops Engineer job openings in the United States as of May 2026, with employment types broken down into 14% As Needed, 29% Full Time, 14% Temporary, and 43% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior DevOps/MLOps Engineer

Senior DevOps/MLOps Engineer

Trusted Space, LLC

Chantilly, VA • Hybrid

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 hours ago

Job description

Position Title: Senior DevOps/MLOps Engineer
Requisition ID: TA208
Location(s): Hybrid; Northern, VA, Chantilly, VA, Herndon, VA
Application Deadline: We are accepting applications on an ongoing basis
Who We Are
Trusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation’s defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure.
Our Culture
As a customer-focused service provider, Trusted Space values its employees and clients. We live by our values; central to this principle is the concept to treat others as you would like others to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges.
Job Description
Trusted Space is seeking a Senior DevOps/MLOps Engineer with a Bachelor’s degree or higher and 8+ years’ experience to join our team.
  • Supports software development and AI/ML teams through management of CI/CD pipelines that automate builds, training, testing and deployments.
  • Evangelize best practices for both traditional DevOps and MLOps across teams.
  • Works closely with development teams to troubleshoot build and deployment issues.
  • Manages cloud based build servers and services.
  • Shepards AI/ML models through the full training lifecycle.

 Qualifications
  • Bachelor’s degree or higher in Computer Science or related field. Additional experience may be considered in lieu of a degree.
  • 8+ years in DevOps/MLOps or related experience
  • 4+ years of experience in Python
  • Experience with build systems and compilers for various languages (Gradle, Maven, GCC/Clang, CMake, Cargo, Poetry, PIP)
  • Experience with at least one application Lifecycle framework (Azure DevOps, Gitlab, Bitbucket/Bamboo)
  • Experience with at least one ML Lifecycle framework (SageMaker, Vertex AI, MLflow, Kubeflow, Metaflow, Feast)
  • Experience troubleshooting CI/CD build failures and dependency issues
  • Experience with artifact repositories (Nexus, Azure Artifacts, Artifactory)
  • Experience working in Linux-based operating systems
  • Experience working with scripting languages (bash, powershell)
  • Experience with cloud architecture to include using containers (Docker, Kubernetes)
  • Ability to work in restricted or air-gapped environments
  • An active TS/SCI clearance

Desired Skills
  • Microsoft Security+ Certification
  • Experience with SCA tools (SonarQube, Fortify)
  • Experience with Agile Methodology

Salary Range: The salary range for this role is $150,000-$200,000. Please note that this range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations.
 

Benefits: Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our Agile & Innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; paid holidays and generous paid time off; short-term and long-term disability insurance; and other benefits to promote health, wellness, and a positive work-life balance.
Trusted Space, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, marital status, national origin, veteran status, disability status, or any other status protected under federal, state, or local law. All aspects of employment are decided based on qualifications, merit, competence, performance, and business need.
DISCLAIMER: Trusted Space, LLC only uses the respective domains of trustedspace.com and trustedspace.us for official contact and any other domains are likely a scam and do not originate from our company. Trusted Space will never ask a candidate for access or pass codes to personal accounts including e-mails, bank accounts, CashApp, Paypal, Venmo, etc.

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