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Machine Learning Engineer Biotech Jobs in Fort Mill, SC

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 ...

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 ...

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 ...

CRC Group

Software Engineer - Machine Learning

Charlotte, NC · On-site

$95K - $130K/yr

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

CRC Group

Software Engineer - Machine Learning

Charlotte, NC · On-site

$95K - $130K/yr

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

Deloitte

AI Solutions Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

SynergisticIT

Entry Level ML Engineer

Charlotte, NC

Machine Learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers ...

TUPPL Technology Inc

AI /ML Engineer

Fort Mill, SC · On-site +1

... Machine Learning Engineer or AWS Solutions Architect certification. • Experience with multi-agent frameworks and autonomous AI systems. Education • Bachelor''s or Master''s degree in Computer ...

Staffingine LLC

MLOps Engineer

Charlotte, NC · On-site

Overall 8 to 10 years of solid experience in the areas of data engineering machine learning data science * 4 to 6 years of strong experience with the following machine learning topics classification ...

Deloitte

Senior AI Engineer - SFL Scientific

Charlotte, NC · On-site

$102K - $140K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Marencor

ML Engineer

Charlotte, NC · On-site

Proven experience in data science, machine learning, or predictive analytics roles * Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.) * Experienced in using ...

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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 9, 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 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.

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, 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.

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
Senior AI/ML Engineer

Senior AI/ML Engineer

Vangard, Inc.

Charlotte, NC • On-site

$102K - $140K/yr

Full-time

Posted 5 hours ago

Job description

Overview:

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 pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.

Responsibilities:

  • Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.

  • Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.

  • Employ experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling.

  • Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.

  • Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.

  • Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.

  • Engage with internal stakeholders to understand business processes and translate requirements into analytical approaches.

  • Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.

  • Serve as a domain expert in machine learning engineering on cross-functional teams for significant initiatives.

  • Stay updated with the latest advancements in AI/ML and apply them to real-world challenges.

  • Participate in special projects and additional duties as assigned.

Qualifications:

  • Undergraduate degree or equivalent experience; a graduate degree is preferred.

  • Minimum of 8 years of relevant work experience.

  • At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).

  • Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.

  • Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases.

  • Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.

  • Experience with API design and development is a plus.

  • Solid understanding of software engineering principles, including design patterns, testing, security, and version control.

  • Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols.

  • Understanding of solution architecture for building end-to-end machine learning data pipelines.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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