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Remote Machine Learning Ops Engineer Jobs (NOW HIRING)

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

We have a flexible work environment and allow remote work depending on one's personal choice. Responsibilities: As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

Alignerr

Machine Learning Engineer

Richmond, VA · Remote

$50 - $70/hr

Remote About The Job At Alignerr, we partner with the world's leading AI research teams and labs to ... Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $50-$70 /hour ...

New

Codertal

Machine Learning Engineer

Union, NJ · Remote

Remote - European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role Codertal is seeking a talented Machine Learning Engineer to join our growing AI and data science ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Compunnel

Machine Learning Engineer

Freeport, ME · Remote

Freeport Maine Remote Must haves: * 4+ years ML experience * Python / Spark * Tensorflow / PyTorch (or similar) * Databricks * MLflow * Docker * SQL * Design and implement machine learning models and ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$50 - $70/hr

Remote About The Job At Alignerr, we partner with the world's leading AI research teams and labs to ... Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $50-$70 /hour ...

Multi Media LLC

Machine Learning Engineer

$180K - $200K/yr

The Role We are looking for a Machine Learning Engineer to join our Artificial Intelligence and ... Fully Remote Optional * Health, Vision, Dental, and Life Insurance for you and any dependents, with ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide ... Good dev ops experience * Advanced DSP experience * MongoDB or SQL experience * Experience with ...

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As of Jun 5, 2026, the average yearly pay for remote machine learning ops 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.
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Remote Machine Learning Ops Engineer jobs near you
Infographic showing various Remote Machine Learning Ops Engineer job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Senior Machine Learning Ops Engineer

Senior Machine Learning Ops Engineer

National Debt Relief, LLC.

Remote

$150K - $173K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Overview
National Debt Relief (NDR) is seeking a Senior ML Ops Engineer to help evolve and scale our enterprise machine learning platform. This role sits within the Data Engineering organization on our existing ML Ops team and partners closely with Data Science, Analytics Engineering, and Applied AI teams to productionize machine learning workloads across the company.
Today, many of our models are deployed within Snowflake using containerized FastAPI services and Snowflake-native capabilities. As we continue to mature our ML platform strategy, this role will help design and lead the evolution toward a more flexible cloud-native architecture leveraging AWS and modern ML infrastructure patterns.
You will help own the infrastructure, orchestration, deployment, observability, and reliability of production ML systems. This includes enabling scalable model training and inference workflows, improving developer experience for Data Science teams, and establishing engineering standards for testing, CI/CD, governance, and monitoring.
The ideal candidate combines strong software engineering fundamentals with hands-on ML platform experience across cloud infrastructure, orchestration, containerization, and data systems.
Responsibilities
Essential Duties/Responsibilities:
  • Design, deploy, and maintain scalable ML infrastructure supporting model training, batch inference, and real-time inference workloads.
  • Lead the evolution of model hosting architecture from Snowflake-native services toward cloud-native infrastructure in AWS.
  • Build and maintain containerized model serving solutions using Docker, FastAPI, and modern deployment patterns.
  • Design and manage orchestration workflows for training, retraining, scoring, and inference pipelines using tools such as Dagster, Airflow, Prefect, or similar.
  • Partner closely with Data Science and Analytics Engineering teams to productionize ML models and improve deployment velocity.
  • Build and maintain scalable training and inference datasets using SQL, dbt, and Snowflake.
  • Implement CI/CD, Infrastructure-as-Code, testing, and deployment automation best practices across ML systems and platform infrastructure.
  • Establish observability and monitoring frameworks for deployed ML systems, including model performance monitoring, drift detection, data quality validation, and automated alerting.
  • Optimize platform reliability, scalability, governance, and operational efficiency across ML workflows and supporting infrastructure.
  • Document architecture, deployment standards, and operational processes to support maintainability and reproducibility.

Qualifications
Required Skills & Experience:
  • 5+ years of experience in ML Ops, platform engineering, DevOps, or data platform engineering.
  • Strong Python engineering skills, including API development and automation tooling.
  • Strong experience deploying and operating production machine learning systems.
  • Hands-on experience with cloud infrastructure, preferably AWS.
  • Strong experience with Docker and containerized application deployment.
  • Demonstrated experience building backend services using frameworks such as FastAPI.
  • Strong SQL expertise and experience building production-grade dbt models and data pipelines.
  • Hands-on experience with Snowflake in enterprise production environments.
  • Experience implementing CI/CD workflows and modern software engineering best practices.
  • Experience with orchestration frameworks such as Dagster, Airflow, or Prefect.
  • Experience with pytest testing frameworks and patterns, including unit, integration, and end-to-end testing.
  • Experience with Bash and Unix-based environments.
  • Familiarity with Infrastructure-as-Code tooling such as Terraform.
  • Strong communication and collaboration skills across Data Science, Data Engineering, and Product teams.
  • Ability to operate independently and help define ML platform standards and architecture direction.

Preferred Skills & Experience:
  • Experience deploying ML systems on Kubernetes, ECS, EKS, or other container orchestration platforms.
  • Experience with ML observability and experiment tracking tools such as MLflow, Arize, Evidently, WhyLabs, or Monte Carlo.
  • Experience designing feature stores or reusable ML data products.
  • Experience supporting both batch and low-latency inference workloads.
  • Experience in financial services, fintech, or other regulated industries.
  • Experience supporting Generative AI or LLM deployment workflows.
  • Strong software engineering fundamentals, including design patterns and maintainable architecture practices.

National Debt Relief Role Qualifications:
  • Computer competency and ability to work with a computer.
  • Prioritize multiple tasks and projects simultaneously.
  • Exceptional written and verbal communication skills.
  • Punctuality expected, ready to report to work on a consistent basis.
  • Attain and maintain high performance expectations on a monthly basis.
  • Work in a fast-paced, high-volume setting.
  • Use and navigate multiple computer systems with exceptional multi-tasking skills.
  • Remain calm and professional during difficult discussions.
  • Take constructive feedback.
  • Available for full-time position.

Compensation Information
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for each position across the US. Within the range, individual pay is determined by work location, job-related skills, experience, and relevant education or training. This good faith pay range is provided in compliance with NYC law and the laws of other jurisdictions that may require a salary range in job postings. The salary for this position is $150,500.00 to $173,000.00.
About National Debt Relief
National Debt Relief was founded in 2009 with the goal of helping an expanding number of consumers deal with overwhelming debt. We are one of the most-trusted and best-rated consumer debt relief providers in the United States. As a leading debt settlement organization, we have helped over 450,000 people settle over $10 billion of debt, while empowering them to lead a healthier financial lifestyle and feel free to live their best life. At National Debt Relief, we treat our clients like real people. Our purpose is to elevate, empower, and transform their lives.
Rated A+ by the Better Business Bureau, our goal is to help individuals and families get out of debt with the least possible cost through conducting financial consultations, educating the consumer and recommending the appropriate solution. We become our clients' number one advocate to help them reestablish financial stability as quickly as possible.
Want to learn more about who we are? Connect with us on social!
Benefits
National Debt Relief is a team-oriented environment full of rewards and growth opportunities for our employees. We are dedicated to our employee's success and growth within the company, through our employee mentorship and leadership programs.
Our extensive benefits package includes:
  • Generous Medical, Dental, and Vision Benefits
  • 401(k) with Company Match
  • Paid Holidays, Volunteer Time Off, Sick Days, and Vacation
  • 12 weeks Paid Parental Leave
  • Pre-tax Transit Benefits
  • No-Cost Life Insurance Benefits
  • Voluntary Benefits Options
  • ASPCA Pet Health Insurance Discount
  • Wellness Incentive Program

National Debt Relief is a certified Great Place to Work®!
National Debt Relief is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law.
For information about our Employee Privacy Policy, please see here
For information about our Applicant Terms, please see here
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