Machine Learning Engineer - LLM / MLOps Job Title: Machine Learning Engineer - LLM & MLOps Location: Remote (U.S.) Employment Type: Full-Time About the Opportunity: An exciting role for an ML ...
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Machine Learning Engineer - LLM / MLOps Job Title: Machine Learning Engineer - LLM & MLOps Location: Remote (U.S.) Employment Type: Full-Time About the Opportunity: An exciting role for an ML ...
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.
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.
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.
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.
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.
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.
Machine Learning Engineers automate training and validation, manage features and model artifacts, optimize inference, implement machine learning operations (MLOps), and watch for changes in data ...
Machine Learning Engineers automate training and validation, manage features and model artifacts, optimize inference, implement machine learning operations (MLOps), and watch for changes in data ...
Machine Learning Engineers automate training and validation, manage features and model artifacts, optimize inference, implement machine learning operations (MLOps), and watch for changes in data ...
Machine Learning Engineers automate training and validation, manage features and model artifacts, optimize inference, implement machine learning operations (MLOps), and watch for changes in data ...
Machine Learning / Federated-Learning Engineer
Mclean, VA · On-site
$115 - $150/hr
Overview We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for ... Knowledge of MLOps practices, model lifecycle management, and automated ML pipelines * Experience ...
Machine Learning / Federated-Learning Engineer
Mclean, VA · On-site
$115 - $150/hr
Overview We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for ... Knowledge of MLOps practices, model lifecycle management, and automated ML pipelines * Experience ...
Machine Learning Engineer
Mclean, VA · On-site
$117K - $141K/yr
Machine Learning Engineer Hybrid in Mclean, VA Contract Must haves: - Python - AWS - Kubernetes ... Required Qualifications * Experience with MLOps and ML tooling. * Proficiency in Python.
New
Machine Learning Engineer
Mclean, VA · On-site
$117K - $141K/yr
Machine Learning Engineer Hybrid in Mclean, VA Contract Must haves: - Python - AWS - Kubernetes ... Required Qualifications * Experience with MLOps and ML tooling. * Proficiency in Python.
New
Overview We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for ... Knowledge of MLOps practices, model lifecycle management, and automated ML pipelines * Experience ...
Overview We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for ... Knowledge of MLOps practices, model lifecycle management, and automated ML pipelines * Experience ...
We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for developing ... Knowledge of MLOps practices, model lifecycle management, and automated ML pipelines * Experience ...
We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for developing ... Knowledge of MLOps practices, model lifecycle management, and automated ML pipelines * Experience ...
Machine Learning Engineer
Ashburn, VA · On-site
$110 - $170/hr
We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Familiarity with MLOps practices, CI/CD pipelines, and model deployment processes. * Working ...
Machine Learning Engineer
Ashburn, VA · On-site
$110 - $170/hr
We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Familiarity with MLOps practices, CI/CD pipelines, and model deployment processes. * Working ...
Overview We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for ... Knowledge of MLOps practices, model lifecycle management, and automated ML pipelines * Experience ...
Overview We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for ... Knowledge of MLOps practices, model lifecycle management, and automated ML pipelines * Experience ...
We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Familiarity with MLOps practices, CI/CD pipelines, and model deployment processes. * Working ...
We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Familiarity with MLOps practices, CI/CD pipelines, and model deployment processes. * Working ...
Data Machine Learning Engineer
Mclean, VA · On-site
$117K - $141K/yr
Data Machine Learning Engineer Mclean, VA - Hybrid long term contract only on w2 Must haves ... Required Qualifications * Experience with MLOps and ML tooling. * Proficiency in Python.
Data Machine Learning Engineer
Mclean, VA · On-site
$117K - $141K/yr
Data Machine Learning Engineer Mclean, VA - Hybrid long term contract only on w2 Must haves ... Required Qualifications * Experience with MLOps and ML tooling. * Proficiency in Python.
Machine Learning Engineer
Washington, DC · On-site +1
We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
Machine Learning Engineer
Washington, DC · On-site +1
We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
Machine Learning Engineer
Ashburn, VA · On-site
$117K - $140K/yr
We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Familiarity with MLOps practices, CI/CD pipelines, and model deployment processes.Working knowledge ...
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Machine Learning Engineer
Ashburn, VA · On-site
$117K - $140K/yr
We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Familiarity with MLOps practices, CI/CD pipelines, and model deployment processes.Working knowledge ...
MLOps Engineer
Mclean, VA · On-site
MLOps * Kubernetes * Spark ... AWS Data Machine Learning Engineer Must haves: - Python - AWS - Kubernetes - Kubeflow (or ...
New
MLOps Engineer
Mclean, VA · On-site
MLOps * Kubernetes * Spark ... AWS Data Machine Learning Engineer Must haves: - Python - AWS - Kubernetes - Kubeflow (or ...
New
Overview We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for ... Knowledge of MLOps practices, model lifecycle management, and automated ML pipelines * Experience ...
Overview We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for ... Knowledge of MLOps practices, model lifecycle management, and automated ML pipelines * Experience ...
This includes defining the data contracts for model inputs/outputs and implementing the MLOps ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...
This includes defining the data contracts for model inputs/outputs and implementing the MLOps ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...
This includes defining the data contracts for model inputs/outputs and implementing the MLOps ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...
This includes defining the data contracts for model inputs/outputs and implementing the MLOps ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...
Mlops Machine Learning Engineer information
See Ashburn, VA salary details
$32.2K - $47.3K
1% of jobs
$47.3K - $62.3K
1% of jobs
$62.3K - $77.4K
5% of jobs
$77.4K - $92.5K
6% of jobs
$104.9K is the 25th percentile. Wages below this are outliers.
$92.5K - $107.5K
14% of jobs
$107.5K - $122.6K
14% of jobs
The median wage is $130.1K / yr.
$122.6K - $137.6K
18% of jobs
$137.6K - $152.7K
14% of jobs
$155.8K is the 75th percentile. Wages above this are outliers.
$152.7K - $167.8K
12% of jobs
$167.8K - $182.8K
11% of jobs
$182.8K - $197.9K
5% of jobs
$32.2K
$131.7K
$197.9K
How much do mlops machine learning engineer jobs pay per year?
As of Aug 30, 2026, the average yearly pay for mlops machine learning engineer in Ashburn, VA is $131,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $158,500.00 per year, depending on experience, location, and employer.
What does an MLOps machine learning engineer do?
An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.
What are the key skills and qualifications needed to thrive as an MLOps machine learning engineer?
To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.
How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?
An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.
What is the difference between Mlops Machine Learning Engineer vs Data Scientist?
| Aspect | Mlops Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps tools | Bachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning |
| Work Environment | Focus on deploying, maintaining, and scaling ML models in production environments | Focus on data analysis, model development, and insights generation |
| Employer & Industry Usage | Tech companies, startups, enterprises implementing ML solutions | Research institutions, analytics firms, tech companies for data insights |
While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.
Are MLOps machine learning engineers in demand?
MLOps machine learning engineers are in high demand due to the increasing adoption of AI and machine learning 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.
Do MLOps Machine Learning Engineers need a degree?
MLOps Machine Learning Engineers typically do not require a formal degree but often have a background in computer science, data science, or related fields. Practical skills in machine learning, cloud platforms, and tools like Docker, Kubernetes, and CI/CD pipelines are highly valued. Certifications and hands-on experience can also enhance job prospects.
What are popular job titles related to Mlops Machine Learning Engineer jobs in Ashburn, VA?
For Mlops Machine Learning Engineer jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Mlops Machine Learning Engineer jobs in Ashburn, VA look for?
The top searched job categories for Mlops Machine Learning Engineer jobs in Ashburn, VA are:
- Gpu Engineer Salary
- Artificial Intelligence Machine Learning Engineer
- Machine Learning Engineer Two
- Home Based Python Machine Learning
- Junior Machine Learning Compiler Engineer
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- Optitrack
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Full-time
Re-posted 15 days ago
Job description
Machine Learning Engineer – LLM / MLOps
Job Title: Machine Learning Engineer – LLM & MLOps
Location: Remote (U.S.)
Employment Type: Full-Time
About the Opportunity:
An exciting role for an ML Engineer to build scalable ML systems, deploy models, and work with cutting-edge AI technologies including LLMs and RAG architectures.
Key Responsibilities:
- Build, train, and deploy ML models at scale
- Develop reusable pipelines using Databricks and MLflow
- Implement CI/CD workflows for ML deployment
- Work with LLMs, RAG, and AI agent frameworks
- Monitor model performance, drift, and retraining cycles
Required Skills:
- 5+ years of ML Engineering experience
- Strong Python programming and ML frameworks (PyTorch, TensorFlow, Scikit-learn)
- Hands-on experience with Databricks, MLflow, PySpark
- Experience with AWS (S3, SageMaker, Lambda, etc.)
- Strong understanding of MLOps and model lifecycle
Preferred:
- Experience building AI-driven applications (Streamlit, Gradio)
- Strong system design and data pipeline experience
- Business understanding of AI applications
Clearance: Public Trust (or eligible)
Hashtags:
#MLEngineer #MachineLearning #MLOps #LLM #AWS #Databricks #PySpark #AIEngineering #RemoteJobs #HiringNow