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Aws Machine Learning Jobs in Silver Spring, MD (NOW HIRING)

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

... Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of ... Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions. Collaboration ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site

$140K - $150K/yr

... Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of ... Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions. Collaboration ...

AeroVironment

Machine Learning Engineer

Jessup, MD · Hybrid

Worker Type Regular AV is seeking aSoftware Engineer 3with Machine Learning (ML) & Artificial ... Working in both AWS and Azure environments. * Opportunity for partial telework Salary Range: $150 ...

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All JobsAws Machine Learning JobsAws Machine Learning Jobs in Silver Spring, MD

Aws Machine Learning information

See Silver Spring, MD salary details

$10

$72

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How much do aws machine learning jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for aws machine learning in Silver Spring, MD is $72.43, according to ZipRecruiter salary data. Most workers in this role earn between $64.38 and $84.47 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning job?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What are the key skills and qualifications needed to thrive in the Aws Machine Learning position, and why are they important?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What are some typical responsibilities for someone working in an AWS Machine Learning role?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are popular job titles related to Aws Machine Learning jobs in Silver Spring, MD? For Aws Machine Learning jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Aws Machine Learning jobs in Silver Spring, MD look for? The top searched job categories for Aws Machine Learning jobs in Silver Spring, MD are:
Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Silver Spring, MD as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $150,647 per year, or $72.4 per hour.
Machine Learning Engineer

Machine Learning Engineer

Abile Group, Inc.

Chantilly, VA • On-site

Other

Posted 5 days ago

Job description

Overview

Abile Group has an exciting and challenging opportunity for a ServiceNow Developer on a long-term contract providing Enterprise Management services supporting an Intelligence Community customer. All the personnel on the team will work together to support Multisourcing Service Integration capabilities to ensure the successful Integration and Operations of the IC, Managed Service Providers, and Legacy Service Providers.    

The right candidate will possess the below skills and qualifications and be ready to handle all responsibilities independently and professionally.

Responsibilities
  • Develop and maintain machine learning pipelines and applications using Python and contemporary machine learning frameworks.
  • Implement and optimize algorithms for integrating and deploying large language models (LLMs).
  • Build RESTful APIs and microservices to serve machine learning models in production environments.
  • Write clean, maintainable, and well-documented code, adhering to object-oriented programming principles.
  • Collaborate with cross-functional teams to understand requirements and convert them into technical solutions.
  • Manage training data, model artifacts, and application state using SQL, NoSQL, and vector databases.
  • Containerize machine learning applications with Docker to ensure consistent deployment across environments.
  • Use Git for version control and participate in code reviews to maintain code quality.
  • Conduct testing and debugging of machine learning applications to ensure reliability and accuracy.
  • Support the deployment and monitoring of AI and machine learning models in cloud environments.
  • Stay up to date with emerging trends in machine learning, LLMs, and AI engineering best practices
Qualifications

Clearance Required: TS/SCI with CI Poly.

Degree and Years of Experience: Bachelor's degree in computer science, software engineering, data science, or a related technical field, plus five years of professional experience in software development or machine learning engineering.

Required Skills:

  • Strong proficiency in Python programming, with a thorough understanding of object-oriented programming concepts, design patterns, data structures, and algorithms.
  • Experience with development tools and practices, including Git version control, Docker containerization, and database management (SQL and/or NoSQL).
  • Knowledge of large language model technologies, including familiarity with orchestration frameworks such as LangChain and LangGraph.
  • Understanding of retrieval-augmented generation (RAG) architectures and vector databases (including ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems.
  • Strong problem-solving skills, attention to detail, excellent communication abilities, and eagerness to learn within a collaborative team environment.

Desired Skills: 

  • Master's degree in computer science or a related field.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, and knowledge of MLOps practices for machine learning model deployment and monitoring.
  • Experience with container orchestration and DevOps, including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible.
  • Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk.
  • Contributions to open-source machine learning projects and familiarity with Agile development methodologies.
About Abile Group, Inc.

Abile Group, founded in July 2004 to support the Intelligence Community and its contractors across Enterprise Analytics, IT & Systems Engineering, and Program & Project Management, merged with Valiant Solutions in January 2026 - an established provider of cybersecurity technologies and services for Federal Agencies since 2005. Together, this partnership creates a stronger, more integrated cybersecurity organization with expanded opportunities for employees, deeper technical collaboration, and a unified mission. With significant experience serving the Federal Government, we remain dedicated to our employees and clients and seek highperforming professionals who excel at providing guidance, developing solutions, and delivering implementation support that blends industry best practices with client expertise and Abile's broad technical capabilities.

Hiring Statement

Abile is committed to hiring the most qualified and best fit person for the job - always has, always will. 

Anyone requiring reasonable accommodations should email careers@abilegroup.com with requested details. A member of the HR team will respond to your request within 2 business days. 

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Employment Type: OTHER

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