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Machine Learning Engineer Biotech Jobs in Fort Mill, SC

CoVar

Machine Learning Engineer

Kings Mountain, NC · On-site

Machine Learning Engineer Check out the role overview below If you are confident you have got the right skills and experience, apply today. About CoVar CoVar is a small AI/ML R&D software company in ...

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Vangard, Inc.

Senior AI/ML Engineer

Charlotte, NC · On-site

$102K - $140K/yr

We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model ...

Vanguard Group

Senior AI/ML Engineer

Charlotte, NC · On-site

$102K - $140K/yr

We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model ...

Varsity Tutors

Machine Learning Tutor

Charlotte, NC · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Matthews, NC · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Fort Mill, SC

Machine Learning Engineer Biotech information

See Fort Mill, SC salary details

$27.7K

$113.2K

$170K

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

As of Jun 5, 2026, the average yearly pay for machine learning engineer biotech in Fort Mill, SC is $113,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $136,200.00 per year, depending on experience, location, and employer.

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 popular job titles related to Machine Learning Engineer Biotech jobs in Fort Mill, SC? For Machine Learning Engineer Biotech jobs in Fort Mill, SC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Fort Mill, SC look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Fort Mill, SC are:
What cities near Fort Mill, SC are hiring for Machine Learning Engineer Biotech jobs? Cities near Fort Mill, SC with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer Biotech jobs near you

Machine Learning Engineer

CoVar

Kings Mountain, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Machine Learning Engineer Check out the role overview below If you are confident you have got the right skills and experience, apply today. About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes.

We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world. About this position You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems.

You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings. Qualifications Applicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow.

Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques.

Previous experience with DoD customers is a plus. Minimum qualifications Software expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing. xxoysbn AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.

B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field Excellent technical communication skills Ability to work in Durham, NC (relocation assistance available) Eligibility for US security clearance (US citizenship is required) Bonus skills Department of Defense project experience Active US security clearance (secret or higher) Benefits Competitive salary, cash bonus, equity structure, and 401k with employer contributions Excellent health care coverage, including dental and vision plans Parental leave Short-term and long-term disability insurance Life insurance Flexible work schedule Tuition support PTO and paid holidays Visit us:

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