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Machine Learning Engineer Biotech Jobs in Virginia

Machine Learning Engineer Our clients, a rapidly growing AI-focused software development company supporting federal agencies, is seeking a Machine Learning Engineer. About the Organization Delivers ...

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in ...

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in ...

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in ...

Machine Learning Engineer SynthBee is seeking a Machine Learning Engineer who can take AI models from research to production--integrating agentic AI systems into our product. This role is engineering ...

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in ...

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in ...

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in ...

Machine Learning Engineer Company: Heven AeroTech Location: Sterling, Virginia FLSA: Exempt About Our Company: At Heven AeroTech (Heven), we don't just believe in the power of people-we build our ...

We are seeking an earlycareer Machine Learning Engineer who is excited to grow rapidly by building and deploying productiongrade ML systems. The ideal candidate has a strong engineering mindset, has ...

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer ...

Richmond VA As a Machine Learning Engineer,you will: Day to Day Responsibilities * Design and implement agentic AI systems capable of planning, tool use, memory, and multi-step reasoning * Build and ...

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Machine Learning Engineer Biotech information

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

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Virginia? The most popular types of Machine Learning Engineer Biotech jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Engineer Biotech jobs? Cities in Virginia with the most Machine Learning Engineer Biotech job openings:
Infographic showing various Machine Learning Engineer Biotech job openings in Virginia as of May 2026, with employment types broken down into 23% Internship, and 77% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Machine Learning Engineer

Razor Talent

Reston, VA โ€ข On-site

$2K/mo

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Machine Learning Engineer

Our clients, a rapidly growing AI-focused software development company supporting federal agencies, is seeking a Machine Learning Engineer.

About the Organization

Delivers mission-critical technology for those who protect what matters. Builds AI-enabled capabilities purpose-built for federal law enforcement and national security partners. Work sits at the intersection of artificial intelligence, cybersecurity, and identity technology. Operates with a startup mentality focused on technical depth, creative problem-solving, and ownership.

Work Location

โ€ข McLean, VA or Columbia, MD โ€ข Hybrid environment with flexibility for remote work โ€ข On-site presence expected 2โ€“3 days per week for team collaboration โ€ข Schedule: Mondayโ€“Friday; occasional monitoring outside standard hours for extended training jobs

Role Summary

Develop, train, and deploy generative AI models across the full ML lifecycle.

Key Responsibilities

โ€ข Train and fine-tune models โ€ข Build training pipelines โ€ข Develop evaluation frameworks โ€ข Optimize inference performance โ€ข Integrate models into production โ€ข Collaborate with engineering teams โ€ข Document models and processes

Required Qualifications

โ€ข 3+ years ML engineering โ€ข Python + PyTorch โ€ข Generative model experience โ€ข ML fundamentals โ€ข Data pipeline experience โ€ข Linux/Docker/AWS familiarity โ€ข U.S. citizenship

Preferred Qualifications

โ€ข Distributed training โ€ข Computer vision โ€ข LLMs or RAG โ€ข Production ML experience

What Success Looks Like

โ€ข 30 days: Learn systems โ€ข 90 days: Deliver models โ€ข 6 months: Production deployment

Compensation & Benefits

โ€ข Fully paid medical, dental, and vision insurance premiums โ€ข 10% company contribution to a Vanguard-sponsored 401(k) plan, vested immediately โ€ข 7 weeks paid time off, accrued semi-monthly โ€ข Life, short-term, and long-term disability insurance โ€ข Dependent care and health FSA accounts โ€ข $5,000 annual professional development and tuition reimbursement โ€ข $200 monthly communication allowance โ€ข $2,000 technology allowance every two years โ€ข Employee equity plan โ€ข Referral, annual, and spot bonuses