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Flexible Machine Learning Engineer Biotech Jobs (NOW HIRING)

Machine Learning Engineer

Colorado Springs, CO · On-site +1

$100K - $160K/yr

... biotechnology, and space control. We are pleased to announce an opening for a Machine Learning ... We are looking for a mid-level engineer with strong fundamentals in machine learning, backend ...

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in designing, developing, and deploying advanced machine learning solutions that drive innovation and create ...

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 ...

Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning model development, data engineering, and modern cloud-based analytics platforms. This role will focus ...

Machine Learning Engineer

Manhattan, NY · On-site +1

$170K - $212K/yr

Machine Learning Engineer The Music Promotion team is building products that allow creators to ... off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Machine Learning Engineer

CA · On-site

$75 - $89/hr

Machine Learning Engineer Pay Rate: $75-$89/hour Position Summary We are seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design ...

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 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 ...

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Flexible Machine Learning Engineer Biotech information

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$31.5K

$128.8K

$193.5K

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

As of Jun 13, 2026, the average yearly pay for flexible 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 Flexible Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectFlexible Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML frameworksDegree in Statistics, Mathematics, or related fields; proficiency in data analysis
Work EnvironmentDevelops and deploys ML models in biotech R&D and production settingsAnalyzes biological data to extract insights, often in research labs or biotech companies
Employer & Industry UsageUsed by biotech firms focusing on AI-driven drug discovery and diagnosticsCommon in biotech research, clinical data analysis, and bioinformatics

The main difference is that a Flexible Machine Learning Engineer Biotech primarily develops and implements machine learning models tailored for biotech applications, while a Data Scientist Biotech focuses on analyzing biological data to generate insights. Both roles require strong technical skills, but the engineer emphasizes model deployment and integration, whereas the scientist emphasizes data interpretation and statistical analysis.

More about Flexible Machine Learning Engineer Biotech jobs
What cities are hiring for Flexible Machine Learning Engineer Biotech jobs? Cities with the most Flexible 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 Flexible Machine Learning Engineer Biotech jobs? States with the most job openings for Flexible Machine Learning Engineer Biotech jobs include:
Machine Learning Engineer

Machine Learning Engineer

nou Systems

Colorado Springs, CO • On-site, Remote

$100K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

FT-SAL-EXREG

Colorado Springs CO, Colorado Springs, CO, US

Salary Range: $100,000.00 To $160,000.00 Annually

nou Systems, Inc. (nSI) is a 100% ESOP company solving challenging defense problems in an enjoyable, stimulating environment. We support mission areas including missile defense, battle management, cybersecurity, test range modernization, biotechnology, and space control.

We are pleased to announce an opening for a Machine Learning Engineer who will join our team in Colorado Springs, Colorado. You will help design, develop, and deploy machine learning capabilities across research, prototype, and operationally relevant defense applications.

We are looking for a mid-level engineer with strong fundamentals in machine learning, backend software development, and data science. The ideal candidate can collaborate with teammates to move ML capabilities from concept toward usable systems.

Responsibilities

  • Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code.

  • Build backend software components that support ML workflows, data processing, model evaluation, and system integration.

  • Help identify, prepare, and validate training and evaluation datasets.

  • Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.

  • Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.

  • Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.

  • Communicate technical results clearly through written documentation, presentations, and team discussions.

  • Support multiple project teams and help translate ML concepts into practical engineering solutions.

Basic Qualifications

  • Bachelor’s degree in computer science, mathematics, software engineering, data science, or a closely related technical field.

  • 3+ years of professional experience in machine learning, data science, or backend software development.

  • Hands-on experience developing, training, or evaluating deep learning models using PyTorch.

  • Professional experience building backend software, data pipelines, APIs, or system integration components.

  • U.S. citizenship and the ability to obtain a Secret security clearance.

Preferred Qualifications

  • Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches.

  • Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency)

  • Comfort with self-direction. You'll work with our top technical talent, but we're looking for evidence you can diagnose a problem and approach it strategically.

  • Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration.

  • Experience with ML tools (MLflow, Optuna, or PyTorch Lightning)

  • Experience with RL development using Gymnasium and Ray RLlib.

  • Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex.

  • Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments.

Position Details

  • This is an in-office role requiring presence at least 4 days per week.

  • Annual Salary Range: $100,000 - $160,000

nou (pronounced ‘new’) Systems:

Since its founding in 2012, nou Systems has built a reputation for excellence in innovative engineering, prototype development, and technical and professional services in multiple markets, including missile defense, cybersecurity, test range modernization, and space control. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions.

We offer significant advancement and personal career development opportunities within our dynamic high-tech company. Our culture is firmly established in treating our employees like family.

Benefits of working at nSI

nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following:

  • Competitive Wages*

  • Medical, Rx, Dental & Vision Insurance

  • Medical plan with Health Savings Account eligibility

  • Generous company-funded Basic Life Insurance

  • Company-funded Short-Term & Long-Term Disability

  • Optional Accident and Critical Illness Insurance

  • Personal Time Off, Annual Leave, and Paid Federal Holidays

  • 401(k) Retirement Plan

  • Employee Stock Ownership Plan (ESOP)

  • Tuition Reimbursement for ongoing training, continuing education, or advanced degree programs

  • Personal Development, Learning Opportunities, & Lunch-n-Learns

  • Opportunities for Advancement

  • Skills Development & Certifications

  • Employee Referral Bonus Program

  • Corporate Sponsored Events & Community Outreach

*Final compensation for this position is determined by a variety of factors, such as a candidate’s relevant work experience, skills, certifications, and geographic location.

nSI is an Equal Opportunity Employer

Employment opportunities at nSI are based upon a candidate’s qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. For our complete EEO/AA and Pay Transparency statement, please visit www.nou-systems.com/workingatnou. U.S. citizenship is required for most positions.