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Azure Ml Engineer Jobs in Washington (NOW HIRING)

SiloSmashers

Testing not a real job 1

Alexandria, VA · On-site

Partner directly with product managers and engineers embedded in your team to translate business requirements into ML solutions. * Deploy and maintain models on Azure (Azure ML, Azure Databricks, and ...

SiloSmashers

Testing not a real job

Alexandria, VA · On-site

Partner directly with product managers and engineers embedded in your team to translate business requirements into ML solutions.Deploy and maintain models on Azure (Azure ML, Azure Databricks, and/or ...

Synergy ECP

AI/ML Engineer

Annapolis Junction, MD · On-site

They are seeking AI/ML Engineers to build, deploy, and maintain machine learning models and data ... Azure ML) • Experience with large-scale or real-time systems Company : Synergy ECP deals with ...

Booz Allen Hamilton

AI/ML Engineer, Lead

Ashburn, VA · On-site

$104K - $138K/yr

## AI/ML Engineer, LeadApplylocations: Ashburn, VAtime type: Full timeposted on: Posted Todaytime left ... Experience with cloud platforms, such as AWS, Azure, or GCP, and tools for scalable ML systems ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Share AI/ML Engineer, Lead The Opportunity: As an AI/Machine Learning Engineer, you'll lead the ... Experience with cloud platforms, such as AWS, Azure, or GCP, and tools for scalable ML systems ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site

$104K - $138K/yr

AI/ML Engineer, Lead The Opportunity: As an AI/Machine Learning Engineer, you'll lead the design ... Experience with cloud platforms, such as AWS, Azure, or GCP, and tools for scalable ML systems ...

Booz Allen Hamilton

AI/ML Engineer, Lead

Ashburn, VA · On-site

$104K - $138K/yr

AI/ML Engineer, Lead The Opportunity: As an AI/Machine Learning Engineer, you'll lead the design ... Experience with cloud platforms, such as AWS, Azure, or GCP, and tools for scalable ML systems ...

Softek Llc

AI/ML Engineer

Rockville, MD · On-site

As an AI/ML Engineer at Softek, you will develop and deploy machine learning models that power our ... Familiarity with Azure AI services or AWS SageMaker * Experience with MLOps tools (MLflow, Kubeflow ...

AIToolboard

Senior AI-ML Engineer

Suitland, MD · On-site

$112K - $154K/yr

/Senior AI-ML Engineer# Senior AI-ML EngineerVets HiredSuitland-Silver Hill, USFull-time## About the ... Azure Machine Learning, AWS SageMaker, or Google Vertex AI. • Strong background in big data ...

Booz Allen Hamilton

AI/ML Engineer

Chantilly, VA · On-site

$99K - $225K/yr

AI/ML Engineer The Opportunity: Data scientists and intelligence analysts rely on multistep ... Experience with AWS or Azure, including work in restricted or classified environments * Experience ...

540

AI/ML Engineer

Arlington, VA · On-site

540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for ... Experience working within AWS, Azure, or Google Cloud * Familiarity with data pipelines, feature ...

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Azure Ml Engineer information

What is the difference between Azure Ml Engineer vs Data Scientist?

AspectAzure Ml EngineerData Scientist
Required CredentialsAzure certifications, programming skills, machine learning knowledgeStatistics, programming, data analysis, often with advanced degrees
Work EnvironmentCloud platforms, Azure services, deployment pipelinesData analysis, modeling, research environments, often using Python/R
Employer & Industry UsageTech companies, enterprises leveraging Azure cloudResearch institutions, tech firms, finance, healthcare

Azure Ml Engineers focus on deploying and managing machine learning models within Azure cloud environments, emphasizing cloud infrastructure and deployment. Data Scientists primarily analyze data, develop models, and generate insights, often working in research or analytical settings. While both roles require strong programming and ML knowledge, Azure Ml Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and model development.

Are Azure ML engineers still in demand?

Azure ML engineers are currently in high demand due to the growing adoption of cloud-based machine learning solutions and the need for expertise in Azure services, data modeling, and deployment. Organizations seek professionals with skills in Azure Machine Learning Studio, Python, and related tools to develop and manage AI models efficiently.

What is the salary of an Azure ML engineer?

The salary of an Azure ML engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those in high-demand areas may offer higher compensation, especially for professionals with strong skills in machine learning, cloud platforms, and data engineering.

What cities in Washington are hiring for Azure Ml Engineer jobs?

Cities in Washington with the most Azure Ml Engineer job openings:

Azure Ml Engineer jobs near you

Testing not a real job 1

Alexandria, VA • On-site

SiloSmashers
Business Management Consulting • 11 - 50 employees
Learn more about SiloSmashersexternal

Full-time

Re-posted 29 days ago

Job description

About the Role

We're looking for a Senior ML Engineer to join a product team and help build, train, and ship machine learning models that power real user-facing features. This is a hands-on role for someone who enjoys owning the full lifecycle of a model - from experimentation through production deployment and monitoring - and who is comfortable working closely with product and engineering partners in a hybrid office environment.

What You'll Do
  • Design, build, and train machine learning models to solve product problems, iterating from prototype to production.
  • Own the MLOps lifecycle: experiment tracking, reproducible training pipelines, model versioning, deployment, and monitoring.
  • Partner directly with product managers and engineers embedded in your team to translate business requirements into ML solutions.
  • Deploy and maintain models on Azure (Azure ML, Azure Databricks, and/or AKS), ensuring reliability and cost efficiency at scale.
  • Monitor model performance in production, diagnose drift and degradation, and drive retraining and improvement cycles.
  • Write clean, well-tested, production-grade Python code and contribute to shared ML tooling and best practices.
  • Collaborate cross-functionally to define success metrics, run experiments (A/B tests), and communicate results to technical and non-technical stakeholders.
What We're Looking For
  • 6–10 years of professional experience in software/ML engineering, with a strong track record of building and training ML models.
  • Deep hands-on expertise in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
  • Practical MLOps experience - tools such as MLflow, Kubeflow, or Airflow for pipelines, tracking, and deployment.
  • Required: Certified Azure experience (e.g., Microsoft Certified: Azure AI Engineer Associate / AI-102), plus hands-on production experience with Azure ML, Azure Databricks, or AKS.
  • Solid understanding of the full ML lifecycle: data preparation, training, evaluation, deployment, and monitoring.
  • Strong communication skills and comfort working embedded within a cross-functional product team.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Nice to Have
  • Experience with large language models (LLMs) or generative AI APIs (e.g., Claude, OpenAI, Azure OpenAI Service).

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