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Mlops Engineer Salary Jobs (NOW HIRING)

MLOps Engineer

Mclean, VA · On-site

$115 - $150/hr

TheMLOpsEngineer works closely with Data Scientists, AI Developers, Data Engineers, and cloud ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

Senior DevOps / MLOps Engineer

Baltimore, MD · Remote

$133K - $170K/yr

MLOps experience: deploying and operating LLM or ML systems in production, including model gateways ... The US base salary range for this full-time position is approximately $160,000.00 - $190,000.00 ...

Senior DevOps / MLOps Engineer

Baltimore, MD · On-site

$129K - $165K/yr

MLOps experience: deploying and operating LLM or ML systems in production, including model gateways ... The US base salary range for this full-time position begins at $150,000.00 + bonus + benefits.

MLOps experience: deploying and operating LLM or ML systems in production, including model gateways ... The US base salary range for this full-time position is approximately $160,000.00 - $190,000.00 ...

Sr Software Engineer, MLOps

WA · Remote

$150K - $185K/yr

About This Role We are seeking a Sr MLOps Engineer to build the model lifecycle, deployment ... Actual salaries will vary based on several factors including but not limited to location ...

We are seeking a skilled and motivated MLOps Engineer to join our engineering team. In this role ... Compensation and Benefits Our salary range is competitive with the market, but we take into ...

New

We are seeking a skilled and motivated MLOps Engineer to join our engineering team. In this role ... Compensation and Benefits Our salary range is competitive with the market, but we take into ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this ... Compensation and Benefits Our salary range is competitive with the market, but we take into ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this ... Compensation and Benefits Our salary range is competitive with the market, but we take into ...

$103K - $181K/yr

Parsons is seeking a talented MLOps & CI/CD Pipeline Developer to join our innovative team! In this ... Salary Range: $103,500.00 - $181,100.00 We value our employees and want our employees to take care ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this ... Compensation and Benefits Our salary range is competitive with the market, but we take into ...

Showing results 21-40

Mlops Engineer Salary information

See salary details

$38K

$115.9K

$191.5K

How much do mlops engineer salary jobs pay per year?

As of Aug 20, 2026, the average yearly pay for mlops engineer salary in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

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

AspectMlops Engineer SalaryData Scientist Salary
Average Annual Salary$110,000 - $150,000$95,000 - $135,000
Required SkillsMachine Learning, DevOps, Cloud ComputingStatistics, Programming, Data Analysis
Work EnvironmentTech companies, AI startups, cloud providersResearch institutions, tech firms, finance
CertificationsCloud certifications, ML certificationsData Science certifications, Python/R skills

Generally, Mlops Engineers tend to have higher salaries due to their specialized skills in deploying and maintaining machine learning models in production environments. Data Scientists focus more on data analysis and model development. Both roles are in high demand, but Mlops Engineers often command a premium because of their expertise in operationalizing AI solutions.

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

What is MLOps engineer salary?

The salary of an MLOps engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and automation tools can earn higher compensation. Salaries may also include benefits such as bonuses and stock options.
More about Mlops Engineer Salary jobs

What cities are hiring for Mlops Engineer Salary jobs?

Cities with the most Mlops Engineer Salary job openings:

What states have the most Mlops Engineer Salary jobs?

States with the most job openings for Mlops Engineer Salary jobs include:

Infographic showing various Mlops Engineer Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Azure Data & MLOps Engineer

Xtreme Solutions Inc

Petersburg, VA • Remote

$112K - $134K/yr

Full-time

Posted 13 days ago


Job description

Description

CASCOM ESD Enterprise Analytics/AI Program
Schedule: Full-Time / 1.0 FTE
Work Arrangement: Primarily Remote with Required Travel to Fort Lee, VA
Clearance: Active Final Secret Required


The Opportunity

This role sits where data engineering, Azure integration, security, and production ML meet.

The Azure Data & MLOps Engineer will build the Azure data pipelines, integrations, deployment mechanisms, and MLOps foundation supporting enterprise dashboards, applications, and AI/ML models.


What You'll Do
  • Design data-ingestion and system-integration architecture.
  • Connect the analytics environment to authoritative Army systems.
  • Build and maintain production pipelines for ingestion, transformation, reconciliation, and synchronization.
  • Develop REST API, service, database, file-based, and event-driven integrations.
  • Support structured, semi-structured, and document-based data.
  • Establish model-development and deployment environments.
  • Implement CI/CD, versioning, model packaging, releases, rollback, and monitoring.
  • Deploy models as endpoints, containers, batch jobs, or integrated services.
  • Configure identity, secrets, logging, monitoring, alerting, and security controls.
  • Diagnose data latency, data quality, pipeline, model-endpoint, and integration failures.
  • Develop architecture diagrams, interface descriptions, data-flow diagrams, and operational procedures.
  • Support Power BI and Power Apps data connections.

Requirements

Must-Have Qualifications
  • Active final Secret clearance.
  • 6+ years of data engineering, cloud engineering, platform engineering, or software integration experience.
  • 3+ years using Microsoft Azure.
  • Hands-on Azure data-engineering experience.
  • Strong SQL and Python skills.
  • Experience building production ETL/ELT pipelines and API-based integrations.
  • Experience deploying or operationalizing machine-learning models.
  • Experience implementing identity, access, secrets, logging, and monitoring within cloud environments.
  • Production experience with at least two major Azure data technologies, such as:
    • Azure Data Factory
    • Azure Synapse Analytics
    • Azure Databricks
    • Azure SQL
    • Azure Data Lake Storage
    • Microsoft Fabric
  • Experience developing REST API, service, database, file-based, or event-driven integrations.
  • Experience with Git, Azure DevOps, or comparable CI/CD tooling.
  • Experience with data validation, schema management, error handling, logging, and recovery.
  • Bachelor's degree in computer science, information systems, engineering, data engineering, or related discipline; equivalent experience may substitute.
Strongly Preferred
  • Azure Government, cARMY, IL4/IL5/IL6, GCC High, or comparable restricted Government environments.
  • Azure Machine Learning, Azure OpenAI, MLflow, Docker, Kubernetes, or model-serving technologies.
  • Entra ID, managed identities, Key Vault, RBAC, private endpoints, network controls, and secure secrets management.
  • GCSS-Army, SAP, ERP, Army logistics, or DoD system integration.
  • Data lineage, metadata, governance, and architecture documentation.
  • Power BI gateways, semantic models, or Power Platform integration.
  • Classified-data support experience.
About Xtreme SolutionsXSI is a leading provider of information technology and professional services known for outstanding service delivery in a wide range of professional services engagements around the country. Team XSI continually meets and exceeds customer expectations. We are passionate about our work and making a difference. Our vision is to be the best professional services management company for both our customers and our employees. We need employees that share this vision. Our remarkable employees are the key to our company's incredible success. XSI promotes a work environment of trust, integrity, respect, continual improvement, customer satisfaction, and business success. We strive to provide a competitive salary and benefits, an engaging and rewarding work environment, and training and development opportunities.
Equal Employment OpportunityXtreme Solutions, Inc. is an Equal Opportunity Employer and federal contractor. All qualified applicants will receive consideration for employment without discrimination based on any status protected by applicable federal, state, or local law.As a federal contractor, Xtreme Solutions, Inc. takes affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans. We are committed to providing equal employment opportunities throughout all aspects of employment, including recruitment, hiring, promotion, compensation, training, and other terms and conditions of employment.Equal Opportunity Employer | Individuals with Disabilities | Protected Veterans