ZipRecruiter

Log In

1

Machine Learning Engineer Mlops Engineer Jobs (NOW HIRING)

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Qualifications: * 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role. * Proven experience deploying and maintaining machine learning models in production at scale.

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Qualifications: * 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role. * Proven experience deploying and maintaining machine learning models in production at scale.

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Qualifications: * 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role. * Proven experience deploying and maintaining machine learning models in production at scale.

AISquared

Machine Learning Engineer

Washington, DC · On-site

Required : • 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role. • Proven experience deploying and maintaining machine learning models in production at scale ...

HeadHR

NY · On-site

... MLOps Engineer / Machine Learning Engineer lub w podobnej roli, * bardzo dobrze znasz Python i masz doświadczenie w budowie rozwiązań produkcyjnych, * posiadasz praktyczne doświadczenie z ...

Flaschenpost

## Machine Learning Engineer (m/w/d) - MLOps & Software EngineeringBewerbenremote type: ITlocations: Office Münster: Office Köln: Remote: Office Berlintime type: Vollzeitposted on: Vor 2 Tagen ...

ExaCare Inc

Machine Learning Engineer

Manhattan, NY · On-site

About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...

Chefman

MLOps Engineer / DevOps Engineer

Mahwah, NJ · On-site

$53 - $72.50/hr

MLOps Engineer / DevOps Engineer *Candidates must be legally authorized to work in the United ... From machine learning and computer vision to Generative AI applications, our success depends on ...

Chefman

MLOps Engineer / DevOps Engineer

Mahwah, NJ · On-site

$53 - $72.50/hr

MLOps Engineer / DevOps Engineer *Candidates must be legally authorized to work in the United ... From machine learning and computer vision to Generative AI applications, our success depends on ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsData Scientist JobsMachine Learning Engineer Mlops Engineer Jobs

Machine Learning Engineer Mlops Engineer information

See salary details

$31.5K

$128.8K

$193.5K

How much do machine learning engineer mlops engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning engineer mlops engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Mlops Engineer vs Data Scientist?

AspectMachine Learning Engineer Mlops EngineerData Scientist
Primary FocusDeveloping, deploying, and maintaining ML models and MLOps pipelinesAnalyzing data, building models, and deriving insights
Skills & CertificationsMachine learning, software engineering, cloud platforms, MLOps toolsStatistics, data analysis, programming (Python/R), visualization
Work EnvironmentSoftware development teams, cloud infrastructure, production environmentsResearch teams, data analysis projects, exploratory data analysis
Industry UsageTech companies, startups, enterprises deploying ML solutionsResearch institutions, analytics firms, data-driven organizations

While both roles involve working with machine learning, Machine Learning Engineers and MLOps Engineers focus on deploying and maintaining scalable ML systems, whereas Data Scientists primarily analyze data and develop models for insights. MLOps Engineers often work closely with Machine Learning Engineers to ensure models are production-ready and reliable.

What cities are hiring for Machine Learning Engineer Mlops Engineer jobs?

Cities with the most Machine Learning Engineer Mlops Engineer job openings:

What states have the most Machine Learning Engineer Mlops Engineer jobs?

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

What are popular job titles related to Machine Learning Engineer Mlops Engineer jobs?

For Machine Learning Engineer Mlops Engineer jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Engineer Mlops Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Washington, DC • On-site

AI Squared
See more jobs at AI Squaredexternal

Full-time

Re-posted 21 days ago

Job description

Machine Learning Engineer
Washington, DC (Hybrid)
About the Role:
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place.
Key Responsibilities:
  • Design, implement, and maintain ML deployment pipelines for scalable production systems.
  • Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability.
  • Build robust model monitoring, logging, and alerting systems to track performance and detect drift.
  • Partner with data scientists to transition models from research/prototype into production-ready deployments.
  • Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.
  • Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems.
  • Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems.
  • Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.

Qualifications:
  • 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
  • Proven experience deploying and maintaining machine learning models in production at scale.
  • Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
  • Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
  • Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems.
  • Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling.
  • Strong understanding of MLOps best practices, monitoring, and automation.
  • Excellent problem-solving skills, with an emphasis on building reliable, scalable systems.
  • Strong communication and collaboration skills across technical and non-technical teams.

Apply