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Contract Machine Learning Engineer Biotech Jobs (NOW HIRING)

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Machine Learning Engineer LOCATIONHonolulu, HI 96815 CLEARANCETS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications Bachelor's or ...

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite) Direct client- Immediate client interview We are seeking a Machine Learning Engineer to design, build ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

JOB SUMMARY Seeking a hands-on Machine Learning Engineer with strong Python programming expertise and recent PySpark experience to build, deploy, and support production-ready machine learning ...

Machine Learning Engineer Location: Arlington, VA Duration: FTE/No C2C Role: Design, develop, and maintain the product ionization of machine learning, deep learning, generative AI, large language ...

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Machine Learning Engineer (Full time) JOB DUTIES: The Machine Learning Engineer will design, develop, deploy, and maintain advanced machine learning models and data analysis systems to support ...

Contract (3 months +, potential for extension) Location: Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners. Responsibilities : • ...

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

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Showing results 1-20

Contract Machine Learning Engineer Biotech information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Jul 4, 2026, the average yearly pay for contract machine learning engineer biotech in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

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

AspectContract Machine Learning Engineer BiotechContract Data Scientist Biotech
CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and pipelines for biotech applicationsAnalyzes data, builds statistical models, and interprets biological data
Industry UsageUsed in biotech R&D, drug discovery, and personalized medicineApplied in clinical data analysis, biomarker discovery, and research

Contract Machine Learning Engineers focus on developing and deploying ML models specific to biotech challenges, while Contract Data Scientists analyze biological data to extract insights. Both roles require strong technical skills but differ in their primary focus—model development versus data analysis.

More about Contract Machine Learning Engineer Biotech jobs
What cities are hiring for Contract Machine Learning Engineer Biotech jobs? Cities with the most Contract Machine Learning Engineer Biotech job openings:
What are the most commonly searched types of Machine Learning Engineer Biotech jobs? The most popular types of Machine Learning Engineer Biotech jobs are:
What states have the most Contract Machine Learning Engineer Biotech jobs? States with the most job openings for Contract Machine Learning Engineer Biotech jobs include:
Infographic showing various Contract Machine Learning Engineer Biotech job openings in the United States as of June 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 73% In-person, 20% Hybrid, and 7% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Cymertek

Reston, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Machine Learning Engineer
LOCATIONReston, VA 20190
CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARYWe are seeking a talented and innovative Machine Learning Engineer to join our team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver real-world value. If you are passionate about artificial intelligence, data-driven solutions, and continuously learning in an evolving field, we'd love for you to be part of our team.

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***


SIMILAR CAREER TITLESData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher, Data Analyst, ect.
DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
  • Ability to design, implement, and optimize machine learning models and workflows
  • Experience working with large, complex datasets
  • Knowledge of data preprocessing and feature engineering
  • Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
  • Strong problem-solving skills and analytical thinking
REQUIRED SKILLS
  • Proficiency in programming languages (e.g., Python, R, Java)
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Expertise in model evaluation techniques and metrics
  • Strong knowledge of version control tools (e.g., Git)
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
  • Understanding of database technologies (e.g., SQL, NoSQL)
DESIRED SKILLS
  • Experience with natural language processing (NLP)
  • Knowledge of deep learning techniques (e.g., CNNs, RNNs)
  • Familiarity with deployment tools (e.g., Docker, Kubernetes)
  • Experience with data augmentation and synthetic data generation
  • Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
  • Knowledge of edge computing and model optimization for deployment

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE

Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.

At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.

We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.

Ready to make your next move the best one? Join us and experience the difference.

BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments
HOW TO APPLY

Email us at jobs@cymertek.com or apply today: www.cymertek.com

Want to see what our employees think? Click here .


EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.