Motion Recruitment
Senior MLOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior MLOps Engineer in Arlington, VA, on a contract-to-hire basis, hybrid (2-3 days in-office). Key skills include Python, Docker, Kubernetes, and experience with MLflow and AWS SageMaker.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 14, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Washington, DC
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🧠 - Skills detailed
#Snowflake #Monitoring #Kubernetes #AWS SageMaker #Docker #Python #SageMaker #Deployment #Model Deployment #MLflow #AWS (Amazon Web Services) #ML (Machine Learning) #GitHub
Role description
A client based in Arlington, VA is seeking a Senior MLOps Engineer to join their team in a contract-to-hire capacity, hybrid role, requiring 2–3 days per week in the office. The primary focus of this role is to build and optimize infrastructure for deploying, packaging, observing, and retraining machine learning models. This is not a model development role, but one centered on operationalizing existing models. The company specializes in providing transparent, customized financing solutions to small businesses, helping them access capital through a range of loans, credit, and factoring products.
Key Responsibilities
• Set up and manage infrastructure for ML model deployment and monitoring.
• Package, version, and automate ML workflows using tools such as MLflow and CI/CD pipelines.
• Enable retraining pipelines and integrate with platforms like AWS SageMaker and Snowflake.
• Collaborate with existing data teams; no data warehousing responsibilities are expected.
Required Skills & Tools:
• Proficiency in Python, Docker, and Kubernetes.
• Hands-on experience with MLflow, SageMaker, and CI/CD pipelines.
• Familiarity with GitHub and Snowflake’s ML features.
• Understanding of data warehousing concepts (execution is handled by other vendors).
Benefits:
• Health, Dental, Vision Insurance
• 401k
• Paid Sick Time
• Commuter Benefits
Posted By: Carson Khadka
A client based in Arlington, VA is seeking a Senior MLOps Engineer to join their team in a contract-to-hire capacity, hybrid role, requiring 2–3 days per week in the office. The primary focus of this role is to build and optimize infrastructure for deploying, packaging, observing, and retraining machine learning models. This is not a model development role, but one centered on operationalizing existing models. The company specializes in providing transparent, customized financing solutions to small businesses, helping them access capital through a range of loans, credit, and factoring products.
Key Responsibilities
• Set up and manage infrastructure for ML model deployment and monitoring.
• Package, version, and automate ML workflows using tools such as MLflow and CI/CD pipelines.
• Enable retraining pipelines and integrate with platforms like AWS SageMaker and Snowflake.
• Collaborate with existing data teams; no data warehousing responsibilities are expected.
Required Skills & Tools:
• Proficiency in Python, Docker, and Kubernetes.
• Hands-on experience with MLflow, SageMaker, and CI/CD pipelines.
• Familiarity with GitHub and Snowflake’s ML features.
• Understanding of data warehousing concepts (execution is handled by other vendors).
Benefits:
• Health, Dental, Vision Insurance
• 401k
• Paid Sick Time
• Commuter Benefits
Posted By: Carson Khadka
