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Machine Learning Biomedical Engineer Jobs in Ashburn, VA

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting Date 07/24/2026 Security Clearance Required - TS/SCI + CI Poly Remote Type N/A Time Type Full time ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract We are looking for candidates ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract We are looking for candidates ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract We are looking for candidates ...

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 an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Showing results 41-60

Machine Learning Biomedical Engineer information

See Ashburn, VA salary details

$32.2K

$131.7K

$197.9K

How much do machine learning biomedical engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for machine learning biomedical 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 is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What does a Machine Learning Biomedical Engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

What are the key skills and qualifications needed to thrive as a Machine Learning Biomedical Engineer, and why are they important?

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.
What cities near Ashburn, VA are hiring for Machine Learning Biomedical Engineer jobs? Cities near Ashburn, VA with the most Machine Learning Biomedical Engineer job openings:

Other

Posted 9 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