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

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 ...

Senior AI Engineer

Reston, VA · On-site

$215K - $245K/yr

IntelliGenesis is seeking a Senior AI Engineer to lead the design, development, and deployment of ... Architect and implement scalable MLOps pipelines for training, validation, and deployment * Deploy ...

IntelliGenesis is seeking a Senior AI Engineer to lead the design, development, and deployment of ... Architect and implement scalable MLOps pipelines for training, validation, and deployment * Deploy ...

Senior AI Platform Engineer

Arlington, VA · On-site

$120K - $165K/yr

Senior AI Platform Engineer Located: Arlington Summary The Senior AI Platform Engineer is ... Establish and maintain MLOps/LLMOps capabilities, including model registries, CI/CD for models and ...

Senior AI Engineer

Annapolis Junction, MD · On-site

$106K - $146K/yr

IntelliGenesis LLC is seeking a Senior AI Engineer to lead the design, development, and deployment ... MLOps pipelines for training, validation, and deployment • Deploy AI/ML models to cloud, on-prem ...

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 ...

Senior AI Data Engineer

Herndon, VA · On-site

$165 - $180/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 ...

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 ...

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 ...

Showing results 21-40

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 4, 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:

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 AI Platform Engineer with Security Clearance

Leidos

Adelphi, MD • On-site

$114K - $157K/yr

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

80th of 500 rated business services


Job description

R-00190737 Description Leidos is seeking a Senior AI Platform Engineer to join our DCSB Artificial Intelligence & Agent Development team supporting the U.S. Army C5ISR Center. In this role, you will lead the technical strategy for building and accrediting a secure agentic AI platform within AWS GovCloud (IL5). You will combine deep cloud and platform engineering expertise with DoD security accreditation, RMF, ATO/cATO, and DevSecOps practices to ensure AI capabilities can be securely deployed into operational environments. This is not a traditional AI/ML development position. Your primary challenge will be creating a secure, observable, and accreditable platform on which agentic AI capabilities can operate. You will serve as a key technical interface between platform engineering, security engineering, ISSO/ISSM personnel, and Authorizing Official (AO) stakeholders. You will also help establish secure engineering patterns so accreditation is built into the platform from the beginning rather than addressed after development. Location: Remote, however must be within commuting distance of Adelphi, MD to report on site as needed. Clearance: U.S. citizenship with an active Top Secret Clearance and ability to obtain SCI. Primary Responsibilities: * Lead the technical accreditation strategy for the agentic AI platform, including security controls for models, tools, and agent-to-agent interactions. * Develop and maintain technical artifacts supporting ATO and continuous ATO (cATO), including control narratives, architecture diagrams, data flows, boundary definitions, POA&M inputs, and security scan evidence. * Partner with security engineering, ISSO/ISSM personnel, and AO stakeholders to translate complex AI and cloud architectures into evidence supporting authorization decisions. * Design, build, and operate a secure AWS GovCloud IL5 platform supporting agentic AI workloads. * Deploy and manage containerized workloads using Kubernetes and Docker, including scaling, observability, resiliency, and failure recovery. * Build and maintain CI/CD pipelines and Infrastructure as Code (IaC) using Platform One and technologies such as Terraform or CloudFormation. * Support container hardening, image accreditation, and secure software delivery practices. * Integrate Amazon Bedrock and other authorized AI/ML services, managing IAM, network boundaries, service quotas, and data flow controls. * Implement logging, tracing, monitoring, auditability, and cost attribution for agent and tool activity. * Apply MLOps practices including model and prompt versioning, deployment gating, monitoring, and rollback. * Mentor engineers on secure, accreditable architecture and development practices. * Develop and execute the platform technical roadmap aligned with program and mission objectives. Required Qualifications: * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field. * 8+ years of hands-on experience in cloud, platform, DevOps, or MLOps engineering. * U.S. citizenship with active Tope Secret clearance with the ability to obtain and maintain SCI. * Demonstrated experience supporting a system through formal security accreditation/RMF, including substantial contributions to security control documentation and direct interaction with security or authorization stakeholders. * Experience operating within a DoD or federal accredited cloud environment, such as IL4/IL5, FedRAMP Moderate/High, or comparable. * Hands-on experience with AWS, Kubernetes, Docker, and Infrastructure as Code. * Experience designing, building, and maintaining CI/CD pipelines. * Proficiency in Python. * Working knowledge of how ML/LLM workloads are deployed, scaled, secured, and monitored. * Strong communication skills with the ability to explain and defend technical architecture and security decisions. Preferred Qualifications: * Active TS/SCI clearance. * Experience supporting national security, defense, or DoD environments. * Direct experience with continuous ATO (cATO), continuous monitoring, and pipeline-based security evidence. * Experience with Platform One, Iron Bank, or Big Bang. * Experience with AWS Bedrock, Bedrock AgentCore, SageMaker, or similar managed AI/ML services. * Experience securing or accrediting systems involving LLMs, autonomous decision logic, agentic AI, or dynamic service interactions. * Experience with cybersecurity operations, security engineering, or DoD cyber environments. * DoD 8570 IAT Level II certification or equivalent.​ Why Leidos? You'll work at the intersection of cloud engineering, cybersecurity, DevSecOps, and emerging AI technologies while supporting a mission focused on protecting critical cyber terrain. You'll have the opportunity to help establish how advanced agentic AI capabilities are securely engineered, accredited, and transitioned into operational DoD environments. Join us and help build the secure foundation that enables mission-focused AI. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: August 31, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits . Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission . Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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