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Machine Learning Engineer Biotech Jobs in Miami, FL

Machine Learning Engineer

Sunrise, FL ยท On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs)

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 ...

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 ...

About Opendoor At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It ...

Strong coding and engineering skills Responsibilities * Develop and improve / Voice Generation models * Train, fine-tune, and evaluate speech models * Bring research ideas into production systems

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new ...

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new ...

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new ...

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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 Jul 31, 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 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 Miami, FL? For Machine Learning Engineer Biotech jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Miami, FL look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Miami, FL 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:

Machine Learning Engineer

Northern Base

Sunrise, FL โ€ข On-site

$90K - $110K/yr

Full-time

Posted 8 days ago


Job description

Job Description
Role -ย  Machine Learning Engineer
Experience Required -8+ Years
ย 
We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.
ย 
Must Have Technical/Functional Skills:
ย 
We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.
โ€ข Implement short-term and long-term memory strategies for LLM-based systems.
โ€ข Optimize prompts, retrieval pipelines, and orchestration logic.
โ€ข Collaborate with product and platform teams to deliver scalable AI solutions.
Required Qualificationsย 
โ€ข Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)
โ€ข Hands-on experience with LangChain and/or LangGraph.
โ€ข Solid understanding of LLM memory architecture and state management.
โ€ข Proficiency in Python and ML engineering best practices.
Nice to Have
โ€ข Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
โ€ข Experience deploying ML/GenAI systems in production environments.
โ€ข data scientist
โ€ข Can do ML model
ย 
Roles & Responsibilities
ย 
โ€ข Design, develop, and deploy GenAI applications using LLMs.
โ€ข Build and implement agentic workflows using LangChain/LangGraph.
โ€ข Develop ML models and production-ready AI solutions.
โ€ข Implement and manage LLM memory and state management strategies.
โ€ข Optimize prompts, retrieval pipelines, and orchestration workflows.
โ€ข Collaborate with product and platform teams to deliver scalable AI solutions.
โ€ข Deploy, monitor, and maintain AI/ML systems in production environments.
โ€ข Evaluate and integrate open-source and proprietary LLMs.
ย 
Base Salary Range : $90,000 to $110,000 Per Annum