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Senior Mlops Engineer Jobs in Silver Spring, MD (NOW HIRING)

Noblis

AI/ML Engineer, Senior

Chantilly, VA · On-site

$107K - $146K/yr

Develop and maintain DevOps and MLOps pipelines to streamline model development, testing, deployment, and monitoring. * Deploy and support AI/ML systems within secure, classified, and high side ...

Karsun Solutions

Senior AI Data Engineer

Herndon, VA · On-site

$150 - $200/hr

We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track record in ... You will play a pivotal role in setting up and operationalizing MLOps directly within Databricks ...

Satsyil Corporation

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

The Senior Data Engineer at Satsyil Corp will be responsible for designing, implementing, and ... Architect feature stores, MLOps pipelines with MLflow, and analytical data models optimized for BI ...

Credence

Senior Google AI Engineer

Mclean, VA · On-site

$150 - $200/hr

Position Summary We have an immediate need for a highly skilled Senior Google AI Engineer. We are ... Implement robust MLOps(experiment tracking, evaluation, bias/robustness testing, model versioning ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Alexandria, VA · Hybrid

$99K - $225K/yr

AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning ... You will contribute endtoend, spanning data processing, model development, MLOps, and integration ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Springfield, VA · Hybrid

$99K - $225K/yr

AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning ... You will contribute endtoend, spanning data processing, model development, MLOps, and integration ...

Phase2 Technology

AI/ML Engineer, Senior

Alexandria, VA · On-site

$150 - $200/hr

R0246859 AI/ML Engineer, Senior The Opportunity As a Senior Artificial Intelligence and Machine ... You will contribute endtoend, spanning data processing, model development, MLOps, and integration ...

Via Logic LLC

Senior AI Engineer

Rockville, MD · On-site

$125 - $150/hr

As a Senior AI Engineer, you will * Support the development and operationalization of AI and ... LLMOps / MLOps * RAG architectures * AI orchestration frameworks * Kubernetes‑based AI ...

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All JobsMlops Engineer JobsSenior Mlops Engineer JobsSenior Mlops Engineer Jobs in Silver Spring, MD

Senior Mlops Engineer information

See Silver Spring, MD salary details

$61.5K

$130.8K

$189.7K

How much do senior mlops engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior mlops engineer in Silver Spring, MD is $130,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $148,300.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a senior MLOps engineer?

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 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 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.

Are senior MLOps engineers in demand?

Senior MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are valued for their expertise in deploying, managing, and scaling machine learning models using tools like Kubernetes, Docker, and cloud platforms. The role often requires strong skills in automation, CI/CD pipelines, and cloud infrastructure, making experienced professionals highly sought after.

How much do senior MLOps engineers make?

Senior MLOps engineers typically earn between $120,000 and $180,000 annually, depending on experience, location, and company size. They often have expertise in cloud platforms, automation tools, and machine learning deployment pipelines, which can influence salary levels.

What are the most commonly searched types of Mlops Engineer jobs in Silver Spring, MD?

The most popular types of Mlops Engineer jobs in Silver Spring, MD are:

What are popular job titles related to Senior Mlops Engineer jobs in Silver Spring, MD?

For Senior Mlops Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Senior Mlops Engineer jobs in Silver Spring, MD look for?

The top searched job categories for Senior Mlops Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Senior Mlops Engineer jobs?

Cities near Silver Spring, MD with the most Senior Mlops Engineer job openings:

Senior Mlops Engineer jobs near you
Infographic showing various Senior Mlops Engineer job openings in Silver Spring, MD as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $130,832 per year, or $62.9 per hour.

AI/ML Engineer, Senior

Noblis

Chantilly, VA • On-site

$107K - $146K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 23 days ago

Key responsibilities

  • Design, develop, and containerize machine learning models using modern frameworks and tools.

  • Deploy, manage, and scale production ML workloads on Kubernetes and support AI/ML systems within secure environments.

  • Architect and implement cloud-native ML infrastructure on AWS and develop DevOps/MLOps pipelines to streamline model deployment and monitoring.

Job description

Responsibilities
Noblis is seeking an experienced AI/ML Engineer to support mission-critical national security initiatives.
In this role, you will design, develop, and deploy advanced machine learning solutions while building the infrastructure required to operationalize AI capabilities in secure, production environments.
Job Responsibilities:
  • Model Development & Deployment
    • Design, develop, and containerize machine learning (ML) models using modern frameworks and tools, including PyTorch, Ray, Docker, and FastAPI.
    • Deploy, manage, and scale production ML workloads on Kubernetes.
    • Integrate AI/ML capabilities into full-stack applications using Python-based backend services and JavaScript frontend technologies.
    • Ensure model reliability, performance, and maintainability throughout the deployment lifecycle.

  • Infrastructure & Operations
    • Architect and implement cloud-native ML infrastructure on AWS.
    • Develop and maintain DevOps and MLOps pipelines to streamline model development, testing, deployment, and monitoring.
    • Deploy and support AI/ML systems within secure, classified, and high side environments.

  • Technical Leadership
    • Evaluate and adopt state-of-the-art AI/ML models, frameworks, and emerging technologies.
    • Architect scalable and resilient infrastructure to support evolving AI/ML workloads and mission requirements.
    • Establish and promote best practices for production-grade machine learning (ML) systems, including security, observability, and governance.
    • Provide technical guidance and thought leadership across AI/ML initiatives and engineering teams.

Required Qualifications
  • Active Top Secret/SCI (TS/SCI) clearance with a current Polygraph
  • Bachelor's degree with 8 years of related experience; OR Master's degree with 7 years of related experience; OR associate's degree with 11 years of related experience; OR High School diploma/GED with 14 years of related experience
  • Production experience deploying ML models, including LLMs
  • Strong proficiency with ML frameworks and containerization (e.g., PyTorch, Docker, Kubernetes)
  • Full-stack development experience (e.g., Python, JavaScript)
  • Working knowledge of AWS cloud services
  • Demonstrated MLOps/DevOps implementation experience
  • U.S. Citizenship is required
#HighlyCleared
Desired Qualifications
  • AWS Certification, including AWS Certified DevOps Engineer or AWS Certified Solutions Architect Certification

Overview
Overview
Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation's toughest challenges, delivering advanced solutions to our customers' most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.
We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org
Why Work at Noblis
At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission-driven professionals who care deeply about doing work that enriches lives and makes our nation safer.
Noblis has earned numerous workplace awards for our culture, our commitment to employee well-being, and our dedication to meaningful, impactful work. We also maintain a drug-free workplace.
Remote/hybrid status is subject to change based on Noblis and/or government requirements.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
EEO is the Law | E-Verify | Right to Work
Total Rewards
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.
Posted Salary Range
USD $160,800.00 - USD $251,325.00 /Yr.

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