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Machine Learning Engineer Biotech Jobs in Nashville, TN

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join TailorCare and use machine learning to improve chronic pain treatment! TailorCare is on a mission to ...

Senior Machine Learning Engineer

Nashville, TN ยท On-site

$100K - $138K/yr

Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research, evaluate, and select appropriate machine Learning approaches and architectures based on the problem ...

Senior Machine Learning Engineer

Nashville, TN ยท On-site

$100K - $138K/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 ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

We're looking for a Machine Learning Engineer to own the intelligence layer of our platform. You'll work across structured and unstructured data to drive automation, predict bottlenecks, and help ...

Senior Machine Learning Engineer

Franklin, TN ยท Remote

$118K - $155K/yr

Remote - USA As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will: Use yourexpertisein machine learning, exploratory data analysis, and software engineering to enhance ...

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Machine Learning Engineer Biotech information

See Nashville, TN salary details

$30.4K

$124.4K

$186.9K

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

As of Aug 13, 2026, the average yearly pay for machine learning engineer biotech in Nashville, TN is $124,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $149,700.00 per year, depending on experience, location, and employer.

What does a machine learning engineer do in biotech?

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.

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 are the key skills and qualifications needed to thrive as a machine learning engineer in biotech?

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.

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 popular job titles related to Machine Learning Engineer Biotech jobs in Nashville, TN?

For Machine Learning Engineer Biotech jobs in Nashville, TN, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Biotech jobs in Nashville, TN look for?

The top searched job categories for Machine Learning Engineer Biotech jobs in Nashville, TN are:

Infographic showing various Machine Learning Engineer Biotech job openings in Nashville, TN as of August 2026, with employment types broken down into 8% Internship, and 92% Full Time. Highlights an 72% In-person, 16% Hybrid, and 12% Remote job distribution, with an average salary of $124,377 per year, or $59.8 per hour.

Machine Learning Engineer

Stackruit Ltd.

Nashville, TN โ€ข On-site

Other

Medical, Retirement, PTO

Posted 8 days ago


Job description

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join TailorCare and use machine learning to improve chronic pain treatment!

TailorCare is on a mission to transform specialty care for joint, back, and muscle conditions. We use data science to create personalized treatment plans for each patient.

Our Ideal Candidate:
  • Bachelorโ€™s in CS, engineering, or similar (3+ years of experience preferred).
  • Experience as an ML engineer, data scientist, or data engineer (3+ years a plus).
  • Python or Scala pro with machine learning skills (scikit-learn, PyTorch, etc.) (2+ years).
  • Familiarity with DNNs, LLMs, and data pipelines is a plus.
  • A scientific approach, engineering mindset, and focus on building simple solutions.
Bonus Points for:
  • Experience with healthcare data and Databricks.
  • CI/CD process knowledge (GitHub).
What Youโ€™ll Do:
  • Design, build, and deploy machine learning models to improve patient care.
  • Collaborate with cross-functional teams to understand needs and develop solutions.
  • Automate workflows using Databricks and GitHub to ensure model performance.
  • Stay up-to-date on the latest MLOps best practices.
Why TailorCare?
  • Make a real impact on peopleโ€™s lives.
  • Work from anywhere in the US (remote-first with a Nashville office option).
  • Competitive benefits package with PTO, health insurance, 401k match, and more.
  • Supportive and inclusive work environment that prioritizes work-life balance.
Ready to use your ML skills to change lives? Apply today!

We are an equal opportunity employer and value diversity at our company.

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