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Machine Learning Engineer Jobs in Delray Beach, FL

We're looking for an engineer who combines strong backend engineering fundamentals with modern machine learning expertise. This role sits at the intersection of software engineering and AI, helping ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... programming experience with one of the following: Python, C++, C, CSharp, Java, Rust, or Go (or ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... programming experience with one of the following: Python, C++, C, CSharp, Java, Rust, or Go (or ...

AI engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Required Qualifications Experience: 3+ years of experience in machine learning, AI engineering, or applied data science. Proven experience deploying ML models into production environments is required.

AI Engineer Location: Sunrise, FL Job Type: Contract (Long Term) Experience: 5+ years Skills ... Design and build end-to-end production AI systems integrating machine learning models, LLMs, and ...

A.I. Specialist (Intern)

Fort Lauderdale, FL · On-site

$14.25 - $19/hr

Interest and/or knowledge of programming skills in languages such as Python, Java, or C++. * Some experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn ...

Bigdata Engineer with GCP

Sunrise, FL · On-site

$109K - $131K/yr

Exposure to machine learning data pipelines * GCP certifications (e.g., Professional Data Engineer ) Education * Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... programming experience with one of the following: Python, C++, C, CSharp, Java, Rust, or Go (or ...

IT/DevOps Engineer

Fort Lauderdale, FL · On-site

$50.50 - $69/hr

HP Proliant (or equivalent) * DevOps Engineering • GitLab & Git Clients • Kubernetes • ... SQL Databases, App Insights, Stream Analytics and Machine Learning * Networking / Infrastructure ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

Job Summary GeniusRx is looking for an experienced data engineer to help bring the next evolution ... Databricks for additional transformations and machine learning. * Looker for BI and reporting. You ...

Showing results 21-40

Machine Learning Engineer information

See Delray Beach, FL salary details

$29.6K

$120.9K

$181.7K

How much do machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning engineer in Delray Beach, FL is $120,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Delray Beach, FL?

The most popular types of Machine Learning Engineer jobs in Delray Beach, FL are:

What are popular job titles related to Machine Learning Engineer jobs in Delray Beach, FL?

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

What job categories do people searching Machine Learning Engineer jobs in Delray Beach, FL look for?

The top searched job categories for Machine Learning Engineer jobs in Delray Beach, FL are:

What cities near Delray Beach, FL are hiring for Machine Learning Engineer jobs?

Cities near Delray Beach, FL with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Delray Beach, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $120,915 per year, or $58.1 per hour.

AI Backend Engineer

Doist

Fort Lauderdale, FL • On-site

$140 - $210/hr

Other

PTO

This job post has expired today. Applications are no longer accepted.


Job description

First things first: do you enjoy building scalable backend systems and helping engineers around you grow into stronger versions of themselves? If the answer is yes, you might be a great fit for Seez.

Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold. Since 2016, we’ve been building scalable SaaS and digital retail solutions that help dealerships, OEMs, and marketplaces deliver smarter, more seamless car buying experiences.

We're looking for an engineer who combines strong backend engineering fundamentals with modern machine learning expertise. This role sits at the intersection of software engineering and AI, helping us build intelligent, production-ready applications that power the next generation of automotive retail. If you enjoy building scalable software, experimenting with the latest AI technologies and solving real customer problems, we'd love to hear from you.

Passion, ownership, and strong technical judgment are essential for success in this role.

Technical

  • Design, build and maintain scalable backend services using Python, Node and .NET.
  • Develop production-ready AI applications powered by Large Language Models (LLMs).
  • Build and optimise Retrieval-Augmented Generation (RAG) pipelines and vector search solutions.
  • Integrate foundation models such as OpenAI, Anthropic and Gemini into customer-facing products.
  • Design, build and maintain REST APIs that power our AI services.
  • Work with structured and unstructured data to improve AI performance and user experience.
  • Optimise applications for performance, scalability and reliability.
  • Write clean, maintainable and well-tested code.
  • Collaborate closely with Product, Design and Engineering to deliver features from concept through production.
  • Monitor, evaluate and continuously improve AI system performance.
YOU’LL THRIVE IN THIS ROLE IF YOU’RE SOMEONE (GREAT-TO-HAVE)
  • Experience with LangChain or similar AI orchestration frameworks.
  • Experience with vector databases such as Pinecone, pgvector, Weaviate or Qdrant.
  • Experience building Retrieval-Augmented Generation (RAG) applications.
  • Knowledge of prompt engineering and LLM evaluation techniques.
  • Experience deploying AI applications into production environments.
  • Familiarity with CI/CD pipelines and infrastructure as code.
WHAT YOU’LL BRING TO THE PARTY (MUST HAVES)
  • 4+ years of experience in software engineering.
  • Strong commercial experience building backend applications with Python and Node.
  • Experience developing and deploying machine learning or LLM-powered applications.
  • Experience building REST APIs, GraphQL, and backend services.
  • Experience with FastAPI or similar Python web frameworks.
  • Experience working with SQL databases such as PostgreSQL.
  • Familiarity with Docker and cloud platforms (AWS preferred).
  • Experience using Git and modern software development practices.
  • Strong problem-solving skills with a pragmatic approach to shipping software.
  • Strong written and verbal English communication skills.

OUR TECH STACK

While we don't expect experience with every technology, you'll likely have worked with many of the following:


Backend

  • Python
  • Node
  • FastAPI
  • REST APIs
  • GraphQL
  • PostgreSQL
  • Redis

Infrastructure

  • Docker
  • AWS (Lambda, S3, CloudFront)
  • Git
  • CI/CD

AI & Machine Learning

  • OpenAI
  • Anthropic
  • Gemini
  • LangChain
  • LlamaIndex
  • Vector Databases
  • RAG
  • Prompt Engineering

BIG NO-NOs

  • Ship code without understanding what it does
  • Avoid supporting or developing teammates
  • Prefer shortcuts over solid engineering decisions
  • Working multiple full-time roles simultaneously
  • Prefer maintaining the status quo instead of improving systems
  • 25 days of paid annual leave plus public holidays
  • Flexible remote work options
  • Open door policy to CEO and all Leadership team
  • One-on-one wellness coaching sessions because your well-being matters.
  • An annual wellness budget to fuel whatever keeps you balanced—whether that’s yoga, hiking, or visit to the museum.
  • An annual learning budget to power your growth—be it a new course, certification, or skill you’ve been eyeing

WHY JOIN SEEZ?

At Seez, we’re all about attracting and keeping top talent, the kind of people who bring ideas, energy, and curiosity to the table. We’ve created a space where great work gets noticed, collaboration is second nature, and our values aren’t just posters on the wall; they guide everything we do.

We’re a colorful mix of cultures, backgrounds, and perspectives. Everyone has a voice, a purpose, and the freedom to show up as their real self. It’s the kind of place where you can do meaningful work, grow quickly, enjoy a healthy work-life balance, and shape your own career path.

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