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Senior Bioinformatics Machine Learning Jobs in Virginia

Hirekeyz Inc

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration: Long Term Contract Clearance: DOD Top Secret Clearance (Must) As a consultant, will be working to ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

We are where innovation meets purpose; and where your career can meet purpose as well.  We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems. We ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems. We ...

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Senior Bioinformatics Machine Learning information

What is the difference between Senior Bioinformatics Machine Learning vs Bioinformatics Data Analyst?

AspectSenior Bioinformatics Machine LearningBioinformatics Data Analyst
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; experience with machine learningBachelor's or master's in bioinformatics, biology, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, biotech companies, or pharma; focus on developing ML modelsData interpretation, reporting, and visualization in research or clinical settings
Employer & Industry UsageUsed in biotech, pharma, research institutions for complex data modelingCommon in healthcare, research, and biotech for data management and reporting

The main difference is that Senior Bioinformatics Machine Learning specialists focus on developing and applying machine learning models to biological data, requiring advanced technical skills. Bioinformatics Data Analysts primarily interpret and visualize data, with less emphasis on machine learning techniques.

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Senior Bioinformatics Machine Learning jobs near you
Infographic showing various Senior Bioinformatics Machine Learning job openings in Virginia as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution.

Senior Machine Learning Engineer

Richmond, VA • On-site

Pennant Solutions Group
Recruiting and Staffing Services • 1 - 10 employees
Learn more about Pennant Solutions Groupexternal

$103K - $142K/yr

Other

Posted 3 days ago

New

Job description

Senior Machine Learning Engineer

Position Type: Full-Time/Onsite in Richmond, VA - NO REMOTE

Level: Senior

Department: Engineering

About the Role

We are seeking an exceptional Senior Machine Learning Engineer to join our growing AI team. This role offers a unique opportunity to architect, develop, and deploy cutting-edge machine learning solutions that directly impact millions of users. As a senior member of our team, you will lead the design and implementation of scalable ML systems, with a particular focus on Natural Language Processing applications and robust MLOps practices.

The ideal candidate will bring deep expertise in production machine learning systems, demonstrating proficiency in MLOps, Natural Language Processing, and AWS SageMaker. You will work at the intersection of research and engineering, translating complex ML concepts into production-ready solutions while mentoring junior team members and establishing best practices across the organization.

Key Responsibilities Machine Learning Development & Deployment
  • Design, develop, and deploy sophisticated machine learning models with emphasis on NLP applications including text classification, named entity recognition, sentiment analysis, language generation, and semantic search
  • Build and optimize end-to-end ML pipelines using AWS SageMaker, from data preprocessing and feature engineering through model training, evaluation, and deployment
  • Implement state-of-the-art transformer-based models and fine-tune large language models for domain-specific applications
  • Conduct rigorous experimentation, A/B testing, and model evaluation to ensure optimal performance and business impact
  • Develop custom algorithms and innovative solutions for complex business problems that cannot be solved with off-the-shelf approaches
MLOps & Infrastructure
  • Architect and maintain robust MLOps infrastructure ensuring seamless model lifecycle management from development to production
  • Implement comprehensive CI/CD pipelines for ML models using tools such as SageMaker Pipelines, MLflow, or similar platforms
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