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

Analytica

Senior MLOps Engineer

Washington, DC · On-site

$118K - $162K/yr

  • Medical

  • Retirement

Analytica is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. This role requires ...

Analytica

Senior MLOps Engineer

Washington, DC · On-site

$117K - $161K/yr

  • Medical

  • Retirement

Analytica is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. This role requires ...

SimpliGov LLC

Senior DevOps / MLOps Engineer

Baltimore, MD · On-site

$129K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

MLOps experience: deploying and operating LLM or ML systems in production, including model gateways ... Cost literacy: reads a cloud bill the way an engineer reads a stack trace * Automates first: your ...

New

SimpliGov LLC

Senior DevOps / MLOps Engineer

Baltimore, MD · Remote

$133K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

MLOps experience: deploying and operating LLM or ML systems in production, including model gateways ... Cost literacy: reads a cloud bill the way an engineer reads a stack trace * Automates first: your ...

New

IMPYRIAN

DEVOPS ENGINEER

Ashburn, VA · On-site

$130K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking an outgoing, strategic Senior DevOps / MLOps Engineer who brings deep expertise in modern software engineering, system architecture, and DevOps practices. This role requires someone ...

Kapitus

MLOps Architect

Arlington, VA · On-site

$117K - $189K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a senior MLOps Architect to design and scale a modern ML and Generative AI platform ... Data ingestion & preprocessing o Feature engineering / embedding generation o Model training & fine ...

SimpliGov

Senior DevOps / MLOps Engineer

Baltimore, MD · On-site

$129K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Cost literacy: reads a cloud bill the way an engineer reads a stack trace * Automates first: your instinct is a pipeline or a policy, not a runbook step * Thinks in the open: surfaces risk early and ...

New

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will define MLOps standards, guide technical delivery, and establish reusable capabilities ... Senior Software Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

540

Senior AI/ML Engineer

Arlington, VA

$120K - $165K/yr

You will define MLOps standards, guide technical delivery, and establish reusable capabilities ... Senior Software Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

Doist

Senior AI/ML Engineer

Arlington, VA · On-site

$140 - $210/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will define MLOps standards, guide technical delivery, and establish reusable capabilities ... Senior Software Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will define MLOps standards, guide technical delivery, and establish reusable capabilities ... Senior Software Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

540.co LLC

Senior AI/ML Engineer with Security Clearance

Arlington, VA · On-site

$120K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will define MLOps standards, guide technical delivery, and establish reusable capabilities ... Senior Software Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track ... MLOps Operationalization: Set up, establish, and operationalize MLOps practices directly within the ...

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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 Aug 14, 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 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 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.

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:

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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.

Senior MLOps Engineer

Analytica

Washington, DC • On-site

$118K - $162K/yr

Full-time

Medical, Retirement

Re-posted 27 days ago

Job description

Analytica is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. This role requires expertise in systems integration, ML pipeline development, and responsible AI practices within government environments. The position focuses on building scalable data and AI capabilities that support DoD mission-critical operations while ensuring compliance with responsible AI principles.
This position offers the opportunity to shape the future of AI and machine learning capabilities within the Department of Defense while ensuring responsible, ethical, and effective deployment of advanced technologies in support of national security missions.
Analytica has been recognized byInc. Magazineas one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.
Responsibilities:
Systems Integration & Command-and-Control Development:
  • Serve as subject matter expert for systems integration supporting the design, development, and deployment of command-and-control products
  • Lead networking and integration efforts for AI/ML systems deployed in operational and exercise environments
  • Design and implement robust MLOps pipelines that support real-time decision-making capabilities for defense applications
  • Collaborate with testing teams to ensure ML systems perform effectively during military exercises and operational scenarios

Enterprise Data & ML Pipeline Architecture:
  • Provide senior technical expertise in modeling, designing, and delivering advanced data tools and ML platforms for DoD-wide adoption
  • Build and maintain scalable infrastructure to handle massive-scale video, image, structured and unstructured text data processing
  • Develop automated data ingestion, preprocessing, and feature engineering pipelines that support diverse data types and formats
  • Work with engineers, commercial vendors, government agencies, and academic partners to identify and implement cutting-edge ML capabilities

Advanced Technology Pipeline Development:
  • Establish and maintain an enterprise-level advanced technology pipeline to accelerate AI/ML adoption across the agency.
  • Implement data quality monitoring, validation, and governance frameworks to ensure high-quality training datasets
  • Design and optimize ML model training, testing, and deployment workflows that reduce implementation cycles
  • Develop automated testing and validation processes for ML models to ensure reliability and performance in operational environments

Partnership Optimization & Process Development:
  • Support the development of optimization models for government engagement with external partners and technology vendors
  • Create and maintain integration workflows that leverage external capabilities while maintaining security and compliance standards
  • Develop vendor assessment criteria and integration protocols for AI/ML technologies and services

Documentation & Knowledge Management:
  • Create, iterate, and publish comprehensive guidance materials for data science and AI development practices
  • Develop and maintain coding standards and best practices documentation for ML development teams
  • Establish documentation standards for model versioning, experiment tracking, and deployment procedures

Enterprise Data Integration & Interoperability:
  • Design and implement data integration solutions that support enterprise data mesh architecture
  • Develop real-time data feed integration capabilities for live operational data streams
  • Build APIs and microservices that enable seamless data sharing across DoD systems and applications
  • Ensure data interoperability standards compliance across diverse defense systems and platforms

Responsible AI Implementation & Governance:
  • Lead the implementation and management of DoD responsible artificial intelligence programs and initiatives
  • Integrate responsible AI tools, frameworks, and assessment methodologies into existing and new use cases
  • Develop comprehensive performance metrics and evaluation frameworks for AI/ML projects and tools
  • Conduct regular assessments of AI system outcomes, bias detection, and ethical compliance
  • Prepare executive-level reports and briefings on responsible AI implementation progress and recommendations

Performance Monitoring & Evaluation:
  • Establish MLOps monitoring and observability solutions for production ML systems
  • Develop automated model performance tracking, drift detection, and retraining pipelines
  • Create dashboards and reporting tools that provide visibility into ML system performance and reliability
  • Conduct post-deployment analysis and continuous improvement of ML operations processes
Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field; Master's degree preferred
  • Minimum 7-10 years of experience in MLOps, DevOps, or related systems engineering roles
  • Strong expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn), containerization (Docker, Kubernetes), and cloud platforms
  • Experience with data pipeline tools (Apache Airflow, Kubeflow, MLflow) and big data technologies (Spark, Hadoop)
  • Knowledge of government compliance requirements, security frameworks, and responsible AI principles

Preferred Qualifications:
  • Experience with defense or intelligence community AI/ML projects
  • Certifications in cloud platforms (AWS ML, Azure AI, GCP ML) and MLOps tools
  • Knowledge of responsible AI frameworks and bias detection methodologies
  • Experience with real-time data processing and streaming technologies
  • Familiarity with DoD enterprise architecture and data sharing standards
  • Current security clearance or ability to obtain required clearance level

AboutANALYTICA:Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an establishedSBA small businessthat hasbeen recognized byInc. Magazineeach of the past three years as one of the 250 fastest-growingcompanies in theU.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services.The companyis appraised by theSoftware Engineering Institute (SEI) atCMMI® Maturity Level 3and is anISO 9001:2008 certifiedprovider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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