1

Machine Learning Engineer Biotech Jobs in Miami, FL

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Security ...

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

Role - AI Engineer Experience Required -8+ Years We are seeking a highly skilled AI Engineer with strong expertise in Machine Learning, Generative AI, and Agentic AI frameworks to design, develop ...

Senior AI Engineer - SFL Scientific

Miami, FL · On-site

$99K - $137K/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 ...

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

AI / ML Engineer We partner withcompanies pushing the boundaries of technology - and we'relooking ... If you loveworking with data, designing machine learning models, andturning complex algorithms into ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... Experience with machine learning frameworks like TensorFlow or PyTorch. Education: Minimum Master ...

AI Engineer

Miami, FL

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

* Develop and maintain machine learning models using Python, leveraging techniques such as regression ... Perform data preparation activities including cleansing, transformation, and feature engineering to ...

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 ...

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 ...

Distributed Computing, Natural Language Processing, Machine Learning, Platform Development ... Our teams of engineers, traders and researchers harness leading-edge quantitative research and the ...

Experience with machine learning libraries/frameworks (e.g. PyTorch, HuggingFace) and a demonstrated passion for leveraging AI and engineering excellence to make big impact in quantitative finance.

Senior AI Engineer - SFL Scientific

Miami, FL · On-site

$99K - $137K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... machine learning applications. Responsibilities : • Work with clients to design, develop, 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 ...

Showing results 41-60

Machine Learning Engineer Biotech information

See Miami, FL salary details

$30.1K

$123.2K

$185.1K

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

As of Aug 20, 2026, the average yearly pay for machine learning engineer biotech in Miami, FL is $123,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $148,200.00 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 Miami, FL?

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

What cities near Miami, FL are hiring for Machine Learning Engineer Biotech jobs?

Cities near Miami, FL with the most Machine Learning Engineer Biotech job openings:

AI Architect

South Florida Community Care Network LLC

Fort Lauderdale, FL • On-site

$100K - $110K/yr

Full-time

Re-posted 15 days ago


Job description

Position Summary: The AI Architect will be responsible for designing, implementing, and managing AI systems crucial to the organization’s operations. This role includes ensuring the performance, availability, and security of these systems. The AI Architect will work closely with the development team and other business units to align AI solutions with organizational needs and regulatory standards, particularly within the health plan sector.

Essential Duties and Responsibilities:

  1. Design, implement, and manage AI systems that meet both performance and security standards.
  2. Analyze organizational needs and maintain AI solutions to support these requirements.
  3. Ensure AI system performance, availability, and security are maintained at all times.
  4. Develop and maintain AI architectures and data structures that align with business needs.
  5. Implement backup and recovery plans to ensure data integrity and availability.
  6. Work closely with the development team to optimize AI model usage and improve performance.
  7. Provide technical support and guidance to resolve AI system issues and malfunctions.
  8. Collaborate with other business units to understand future needs and adapt AI strategies accordingly.
  9. Conduct regular security audits and compliance checks, particularly focusing on health plan data protection regulations such as HIPAA.
  10. Prepare and present reports on AI status, performance, and strategic development to senior management.
  11. Evaluate and recommend emerging AI technologies, frameworks, and tools for organizational adoption.
  12. Develop AI governance policies, standards, and best practices to ensure responsible AI usage across the organization.
  13. Mentor and guide development team members on AI/ML concepts, tools, and implementation patterns.
  14. Design and oversee data pipelines and ETL processes to support AI/ML model training and deployment.
  15. Performs other related duties as assigned.

This job description in no way states or implies that these are the only duties performed by the employee occupying this position. Employees will be required to perform any other job-related duties assigned by their supervisor or management.

Qualifications:

REQUIRED

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field required.
  • At least 5 years of experience in AI/ML system development and management.
  • Minimum 3 years of experience with AI architecture design, model deployment, and data engineering.
  • Expertise in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, Azure AI Services).
  • Strong familiarity with cloud services such as Microsoft Azure or Amazon Web Services (AWS).
  • Proficiency in machine learning algorithms, data integration, and model lifecycle management.
  • Experience with ETL processes and data pipelines.
  • Strong problem-solving and communication skills.
  • Ability to work both independently and as part of a team.

PREFERRED

  • Master’s degree in Artificial Intelligence, Machine Learning, Data Science, or related field.
  • Relevant professional certifications (e.g., Microsoft Azure AI Engineer, AWS Machine Learning Engineer, Google Professional ML Engineer).
  • Experience with large language models (LLMs), generative AI, and prompt engineering.
  • Experience with cloud-native AI/ML services (Azure OpenAI, Azure Machine Learning, AWS SageMaker).
  • Experience in a healthcare or health plan environment with understanding of HIPAA compliance requirements.
  • Understanding of ASC X12 standards for healthcare electronic data interchange such as:
      • Medical Claims Interface – 837
      • Benefit Enrollment – 834
      • Claim File – 999
      • Claim Status – 276/277
  • Experience with CI/CD pipelines and DevOps practices for AI/ML model deployment (MLOps).
  • Familiarity with responsible AI principles, bias detection, and model explainability techniques.
  • Experience with vector databases, RAG (Retrieval-Augmented Generation) architecture, and semantic search.
  • Knowledge of Natural Language Processing (NLP) and computer vision applications.

Skills and Abilities:

  • Deep technical expertise in AI principles, machine learning, deep learning, and data modeling methodologies.
  • Excellent verbal and written communication skills.
  • Strong analytical and problem-solving skills, with the ability to manage multiple tasks efficiently.
  • Excellent organizational skills and attention to detail.
  • • Excellent communication and interpersonal skills, capable of explaining complex AI concepts to non-technical stakeholders.
  • Experience working in a team environment.
  • Excellent time management skills with the proven ability to meet deadlines.
  • Extensive knowledge of the following:
      • Python, R, or similar ML/AI programming languages
      • SQL and database management systems
      • Cloud AI/ML platforms (Azure AI, AWS SageMaker)
      • API development and integration (REST, GraphQL)
      • Data visualization and reporting tools
  • Commitment to continuous learning and adapting to new technologies and industry trends.
  • Proficient with Microsoft Office Suite or related software.

Work Schedule:

Community Care Plan is currently following a hybrid work schedule. The company reserves the right to change the work schedules based on the company needs.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. A reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, use hands, reach with hands and arms, and talk or hear. The employee is frequently required to stand, walk, and sit. The employee may occasionally be required to stoop, kneel, crouch or crawl. The employee may occasionally lift and/or move up to 15 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job. The environment includes work inside/outside the office, travel to other offices, as well as domestic travel. A reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

We are an equal opportunity employer who recruits, employs, trains, compensates and promotes regardless of age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We are committed to fostering, cultivating, and preserving a culture of diversity, equity, and inclusion.

Background Screening Notice:
In compliance with Florida law, candidates selected for this position must complete a Level 2 background screening through the Florida Care Provider Background Screening Clearinghouse.

The Clearinghouse is a statewide system managed by the Agency for Health Care Administration (AHCA) and is designed to help protect children, seniors, and other vulnerable populations while streamlining the screening process for employers and applicants.

Additional information is available at: ???? https://info.flclearinghouse.com