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Senior Machine Learning Engineer Biotech Jobs in Washington, DC

Sr. Machine Learning Engineer

Fort Belvoir, VA ยท 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 ...

Senior Machine Learning Engineer

Washington, DC ยท On-site +1

$180K - $250K/yr

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: Remote USA Compensation: $180,000 - $250,000 / year Description Clearview AI is the leading provider of ...

Senior Machine Learning Engineer

Mclean, VA ยท 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 ...

Senior Machine Learning Engineer

Mclean, VA ยท On-site

$105K - $145K/yr

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

Senior Machine Learning Engineer

Mclean, VA

$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 ...

Senior Machine Learning Engineer

Mclean, VA

$105K - $145K/yr

Senior Machine Learning Engineer Location: McLean, VA (hybrid); occasional travel to Durham, NC and customer sites About CoVar CoVar is a small AI/ML R&D software company with offices in Durham, NC ...

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into production systems that solve critical national security problems. Working as part of a ...

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into production systems that solve critical national security problems. Working as part of a ...

Senior Machine Learning Engineer

Washington, DC ยท On-site

$155K - $195K/yr

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into production systems that solve critical national security problems. Working as part of a ...

Senior Machine Learning Engineer

Arlington, VA ยท On-site

$155K - $195K/yr

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into production systems that solve critical national security problems. Working as part of a ...

Senior Machine Learning Engineer

Bowie, MD ยท On-site

$118K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves asInovalon'scentral AI and machine learning hub. This team partners with Provider, Payer, and ...

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Showing results 1-20

Senior Machine Learning Engineer Biotech information

See Washington, DC salary details

$67.4K

$143.3K

$207.8K

How much do senior machine learning engineer biotech jobs pay per year?

As of Jul 29, 2026, the average yearly pay for senior machine learning engineer biotech in Washington, DC is $143,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $162,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and deployment pipelines in biotech R&DAnalyzes data, builds statistical models, and interprets biological data
Employer & Industry UsageTech-driven biotech firms, pharma companies, research labsBiotech companies, healthcare analytics, research institutions

While both roles work with biological data, Senior Machine Learning Engineers focus on developing and deploying ML models for biotech applications, whereas Data Scientists analyze and interpret data to inform research and decision-making. The ML Engineer role emphasizes model deployment and engineering skills, while Data Scientists focus more on statistical analysis and insights.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Washington, DC? The most popular types of Machine Learning Engineer Biotech jobs in Washington, DC are:
Infographic showing various Senior Machine Learning Engineer Biotech job openings in Washington, DC as of July 2026, with employment types broken down into 92% Full Time, 1% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $143,338 per year, or $68.9 per hour.

Sr. Machine Learning Engineer

Hirekeyz Inc

Fort Belvoir, VA โ€ข On-site

$118K - $162K/yr

Contractor

Posted 11 days ago


Job description

Role: Sr. Machine Learning Engineer

Location: Ft. Belvoir, VA (On-site with Hybrid Option)

Duration: Long Term Contract

Clearance: DOD Top Secret Clearance (Must)

Job Description:

As a consultant, will be working to assist a DoD U.S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS Services).ย  You will work directly the stakeholders to understand requirements and work with Armyโ€™s Security teams to ensure the technologies available to the Government can be turned into solutions that they can use. Liaise with government software vendors and other asset creators; lead coordination of point solutions into broader capabilities for Army Defense Cyber Operations (DCO).ย  You will be helping our military defend our cyber security infrastructure by delivering software capabilities.ย 

Required Skills:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
  • Masterโ€™s Degree in Data Science, Machine Learning, or a related field
  • Proven experience in a machine learning or AI engineering role
  • Strong proficiency in Python, C++, or Java
  • Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras
  • Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying ML solutions
  • Experience with data preprocessing, feature engineering, and model selection
  • Knowledge of data structures, algorithms, and software architecture
  • Excellent problem-solving abilities and attention to detail
  • Strong communication skills, with the ability to present complex technical concepts to non-technical stakeholders
  • Commitment to writing clean, efficient, and well-tested code
  • Self-motivated, with the ability to work effectively both independently and in a team environment

Preferred Skills:

  • Certifications in Machine Learning / Artificial Intelligence / Data Science
  • Familiarity with agile development methodologies
  • 3-5 years of experience in a ML/AI development role