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Machine Learning Engineer Biotech Jobs in Fort Mill, SC

Design, develop, and deploy machine learning and deep learning models for real-world applications ... Data Engineering & MLOps * Collaborate with data engineers to collect, clean, and structure ...

* 10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations. * Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit ...

Lead, AI Engineering

Charlotte, NC

$100K - $131K/yr

The team combines expertise in machine learning, generative AI, data engineering, and platform infrastructure to deliver innovative solutions that improve business outcomes and accelerate digital ...

Build and apply machine learning models to identify security anomalies, enrich event context, and predict threats. * Collaborate with Security Operations Center (SOC) , DevOps , IT , and business ...

AI and Data Science Engineer II

Charlotte, NC · On-site

$111K - $134K/yr

Translating business goals into machine learning use cases and model design approaches ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

AI Data Engineer - Manager

Charlotte, NC · On-site

$111K - $134K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

AI and Data Science Engineer III

Charlotte, NC · On-site +1

$111K - $134K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Senior AI Engineer

Charlotte, NC

$102K - $140K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to-end solution delivery. Success in this role requires a strong understanding that production AI ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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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 11, 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:

Principal AI Engineer - AI Transformation

Fifth Third

Charlotte, NC

Full-time

Posted 19 days ago


Job description

Make banking a Fifth Third better
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.

GENERAL FUNCTION:

The Principal AI Engineer architects and implements artificial intelligence and machine learning systems that address diverse business challenges throughout the Bank, with a strong focus on research and experimentation of generative AI models and agentic systems. This role involves conducting rigorous data analysis, performing statistical evaluation, designing experimental frameworks, and developing algorithms that effectively leverage both structured and unstructured data. The AI Engineer creates solutions that range from on-demand analytics to fully integrated software systems, working closely with cross-functional teams to align technical solutions with business requirements. Staying apprised and educating senior leaders on emerging AI trends, risks, and opportunities.

Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

Essential Duties and Responsibilities

AI Development and Implementation

  • Design, develop, and implement AI and machine learning systems that address specific business challenges and deliver measurable value.
  • Create and maintain model documentation, ensuring transparency in methodologies and approaches.
  • Research, test, and apply state-of-the-art generative AI models and/or solutions for potential use.
  • Develop agentic AI systems capable of autonomous reasoning, planning, and tool utilization for complex task completion.
  • Create comprehensive evaluation frameworks to assess model performance, detect hallucinations, and ensure output quality.
  • Stay current with emerging AI/ML technologies, frameworks, and methodologies.
  • Contribute to establishing best practices for AI development and deployment.
  • Sets enterprise-wide technical standards by defining reference architectures, chairing design reviews, and approving model lifecycle gates (e.g., data sourcing, bias audits, drift monitoring).

Analytics and Insights

  • Extract meaningful patterns and insights from complex, multi-dimensional data sets.
  • Apply advanced analytics including predictive modeling, machine learning, and optimization techniques.
  • Translate business questions into well-defined analytical problems with clear objectives
  • Design and execute experiments with statistically valid methodologies and evaluation criteria.
  • Develop specialized analytics for banking-specific use cases while maintaining compliance with financial regulations.

Collaboration and Communication

  • Leads projects or processes with limited supervision, applying advanced knowledge to solve complex problems.
  • Acts as a resource for colleagues, influencing technical direction and standards across multiple products or platforms.
  • Drives cross-team technical initiatives, ensuring integration, scalability, and compliance across multiple products and platforms.
  • Partner with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Effectively communicate complex technical concepts to non-technical stakeholders.
  • Present findings, recommendations, and insights to business teams in accessible formats.
  • Collaborate with software engineers, cloud engineers, data engineers, and data scientists to integrate AI solutions into existing systems and products.
  • Work with compliance and security teams to ensure AI systems meet banking regulatory requirements.

Minimum Knowledge, Skills and Abilities Required

Education and Experience

  • Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or related technical field; Advanced degree preferred but not required.
  • 6+ years of experience developing and deploying machine learning or AI solutions in production environments.

Technical Skills

  • Strong programming skills with proficiency in Python; familiarity with JavaScript and SQL.
  • Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), evaluation frameworks, tool integration, and agentic system design.
  • Experience with cloud computing platforms (AWS preferred, specifically Bedrock, Sagemaker, Lex, etc.).
  • Skilled in data visualization and storytelling, effectively communicating complex analytical insights in clear, actionable formats for technical and non-technical audiences.
  • Experience with machine learning frameworks (PyTorch, scikit-learn, Hugging Face).
  • Practical knowledge of deep learning, neural networks, and traditional ML algorithms.
  • Familiarity with model optimization techniques including quantization and distillation.
  • Knowledge of AI orchestration frameworks (LangChain, LlamaIndex, MCPs, etc.)

Engineering Practices

  • Proficiency with version control systems (Git/GitHub)
  • Understanding of CI/CD pipelines and DevOps practices
  • Experience with containerization and Infrastructure as Code (Docker, Terraform)
  • Knowledge of data structures, algorithms, and software design principles
  • Experience designing observability systems for AI applications

Business and Soft Skills

  • Communicates clearly and builds consensus across teams
  • Mentors colleagues and promotes knowledge sharing
  • Excellent written and verbal communication skills
  • Strong analytical thinking and problem-solving abilities
  • Ability to manage time effectively and prioritize competing demands
  • Self-motivated with demonstrated capacity to work independently
  • Experience working in Agile environments
  • Proficiency with Microsoft Office suite (Word, Excel, PowerPoint)
  • Understanding of ethical considerations in AI deployment

Position not available for immigration sponsorship

#LI-MB1

Principal AI Engineer - AI Transformation

At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.

The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.

Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being.You can learn more about those programs on our 53.com Careers page at: https://www.53.com/content/fifth-third/en/careers/benefits.html or by consulting with your talent acquisition partner.

LOCATION -- Cincinnati, Ohio 45202

Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes - no matter how they are submitted - will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.

Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.