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Mlops Salary Jobs (NOW HIRING)

Steampunk

MLOps Engineer

Mclean, VA · On-site

$115K - $150K/yr

The MLOps Engineer 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 ...

Steampunk

MLOps Engineer

Mclean, VA

$115K - $150K/yr

We are seeking a MLOps Engineer to design, build, and support the infrastructure, tooling, and ... Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn ...

Steampunk

MLOps Engineer

Mclean, VA

$115K - $150K/yr

The MLOps Engineer 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 ...

NVIDIA Corporation

Senior MLOps Engineer

Santa Clara, CA · On-site

$184 - $357/hr

## Senior MLOps EngineerApplylocations: US, CA, Santa Claratime type: Full timeposted on: Posted 3 ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

NVIDIA Corporation

$184 - $357/hr

## Senior MLOps EngineerApplylocations: US, CA, Santa Claratime type: Full timeposted on: Posted 3 ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

LTM

MLOps Engineer

Tampa, FL · On-site

MLOps Engineer Location: Tampa, FL Seeking a candidate with a 5 to 7 years of experience in MLOps ... salary target for the position across all US locations. Within the range, individual pay is ...

Nvidia

Senior MLOps Engineer

Santa Clara, CA

$122K - $168K/yr

NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Nvidia Corporation

Senior MLOps Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Capital One

Lead Software Engineer - MLOps

Mclean, VA · On-site

Lead Software Engineer - MLOps Do you love building and pioneering in the technology space? Do you ... Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be ...

Oura

Senior MLOps Engineer

$107K - $146K/yr

We are looking for a Senior MLOps Engineer to join our Data Engineering & Analytics team. In this ... Competitive salary and equity packages * Health, dental, vision insurance, and mental health ...

C the Signs

Senior MLOps Engineer

$107K - $146K/yr

Position Summary We're hiring a Senior MLOps Engineer with deep machine learning engineering ... Competitive salary and benefits package. * Flexible working arrangements (remote or hybrid options ...

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Infographic showing various Mlops Salary job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

MLOps Engineer

Mclean, VA • On-site

Steampunk
IT Services • 201 - 500 employees
Learn more about Steampunkexternal

$115K - $150K/yr

Other

Posted 18 days ago

Job description

Overview
We are seeking a MLOps Engineer to design, build, and support the infrastructure, tooling, and automation that enable scalable and reliable machine learning systems across our client engagements. This role is responsible for operationalizing ML models, implementing robust pipelines, and ensuring smooth transitions from experimentation to production. The MLOps Engineer works closely with Data Scientists, AI Developers, Data Engineers, and cloud engineering teams to streamline model deployment, monitoring, and lifecycle management in alignment with mission needs.
Contributions
  • Develop and maintain end-to-end ML pipelines, including data ingestion, feature engineering, model training, model packaging, deployment, and monitoring workflows.
  • Implement CI/CD pipelines for ML assets, enabling automated testing, versioning, promotion, and reproducibility across environments.
  • Integrate ML models into production services using APIs, microservices, serverless functions, or container orchestration frameworks like Kubernetes.
  • Build and manage core ML platform components such as model registries, experiment tracking systems, feature stores, datasets, job schedulers, and lineage tools.
  • Monitor model performance, system health, and data drift using logging, observability frameworks, dashboards, and alerting systems; partner with Data Scientists to refine retraining strategies.
  • Collaborate with Data Engineers to ensure data pipelines and data quality support high-performing ML systems.
  • Implement DevSecOps best practices-including secrets management, environment hardening, and secure deployment patterns-to ensure compliance and operational resilience.
  • Help define and enforce MLOps standards, documentation, and reusable patterns that improve efficiency and reduce technical debt across teams.
  • Support troubleshooting and root-cause analysis of pipeline issues, infrastructure problems, or performance degradation in deployed ML models.
  • Stay current with emerging MLOps tools, cloud-native ML technologies, distributed training methodologies, and best practices in ML lifecycle management.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the U.S. government.
  • Bachelors or Master's degree in Computer Science, Data Engineering, Machine Learning, Information Systems, or a related technical discipline.
  • Masters Degree and 0 years of experience OR Bachelors Degree and 2 years of experience OR No degree and 6 years of experience.
  • 2+ years of experience in MLOps, ML engineering, DevOps, cloud engineering, or applied ML development.
  • Proficiency in Python and familiarity with ML frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
  • Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and associated ML/DevOps services (e.g., SageMaker, Azure ML, Vertex AI, EKS/AKS/GKE).
  • Practical experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins) and containerization (Docker, Kubernetes).
  • Strong understanding of ML lifecycle management, including versioning, packaging, deployment, monitoring, and retraining.
  • Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
  • Experience with logging, observability, and monitoring frameworks (CloudWatch, Prometheus, Grafana, ELK stack, Datadog, etc.).
  • Ability to collaborate with Data Scientists, Engineers, and mission stakeholders to ensure ML systems deliver operational value.
  • Strong communication skills and the ability to document workflows, architecture decisions, and runbooks.
  • Preferred certifications:
    • AWS ML Specialty
    • AWS DevOps Engineer
    • Azure Data Scientist Associate
    • Google Professional Machine Learning Engineer
    • Databricks Machine Learning Associate/Professional

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $115,000 to $150,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

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