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Junior Full Stack Machine Learning Engineer Jobs in Deerfield Beach, FL

Northern Base

Machine Learning Engineer

Sunrise, FL · 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)

Enboarder

Machine Learning Engineer

Boca Raton, FL · On-site

$130 - $170/hr

Summary We are seeking a Machine Learning Engineer to build the "active brain" of our patient engagement platform. In this role, you will develop autonomous and conversational AI agents capable of ...

Crowe LLP

Machine Learning Engineer

Fort Lauderdale, FL

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

MDG Solutions

Full Stack Engineer

Boca Raton, FL · On-site

We are looking for a Full Stack Software Engineer who builds for the web end to end and owns what ... Openness to learning new technologies as the stack evolves and to improving how the team works, not ...

AgileEngine

Full Stack Engineer ID80989

Boca Raton, FL · On-site

ABOUT THE ROLE We are looking for a Full Stack Engineer to build and maintain features across a ... learning budget - Competitive compensation : get recognition that reflects your skills and impact ...

ClinDCast LLC

Full Stack Java Developer

Delray Beach, FL · On-site

$60 - $65/hr

Mentor junior developers and conduct code reviews. * Ensure application scalability, security ... Required Qualifications * 7+ years of Full Stack Java development experience. * Bachelor's degree ...

Donato Technologies, Inc

Full Stack Developer

Miramar, FL · On-site

$48 - $52/hr

Full Stack Developer Location: Miramar, FL - 4x a week onsite and remote Fridays Duration: 1 year -Must be able to convert to an FTE Top Requirements * Participate in the design and delivery of ...

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All JobsFull Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer Jobs in Deerfield Beach, FL

Junior Full Stack Machine Learning Engineer information

See Deerfield Beach, FL salary details

$45K

$91.5K

$137.4K

How much do junior full stack machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior full stack machine learning engineer in Deerfield Beach, FL is $91,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $92,400.00 per year, depending on experience, location, and employer.

What is the difference between Junior Full Stack Machine Learning Engineer vs Junior Data Scientist?

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are popular job titles related to Junior Full Stack Machine Learning Engineer jobs in Deerfield Beach, FL?

For Junior Full Stack Machine Learning Engineer jobs in Deerfield Beach, FL, the most frequently searched job titles are:

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Cities near Deerfield Beach, FL with the most Junior Full Stack Machine Learning Engineer job openings:

Junior Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer

Northern Base

Sunrise, FL • On-site

$90K - $110K/yr

Full-time

Re-posted 10 hours ago

Job description

Job Description
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). 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.
 
Must Have Technical/Functional Skills:
 
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.
• Implement short-term and long-term memory strategies for LLM-based systems.
• Optimize prompts, retrieval pipelines, and orchestration logic.
• Collaborate with product and platform teams to deliver scalable AI solutions.
Required Qualifications 
• Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)
• Hands-on experience with LangChain and/or LangGraph.
• Solid understanding of LLM memory architecture and state management.
• Proficiency in Python and ML engineering best practices.
Nice to Have
• Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
• Experience deploying ML/GenAI systems in production environments.
• data scientist
• Can do ML model
 
Roles & Responsibilities
 
• Design, develop, and deploy GenAI applications using LLMs.
• Build and implement agentic workflows using LangChain/LangGraph.
• Develop ML models and production-ready AI solutions.
• Implement and manage LLM memory and state management strategies.
• Optimize prompts, retrieval pipelines, and orchestration workflows.
• Collaborate with product and platform teams to deliver scalable AI solutions.
• Deploy, monitor, and maintain AI/ML systems in production environments.
• Evaluate and integrate open-source and proprietary LLMs.
 
Base Salary Range : $90,000 to $110,000 Per Annum