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Entry Level Machine Learning Engineer Jobs in Lake Worth, FL

Access Labs LLC

Data Scientist

North Palm Beach, FL

... Engineering, or a related quantitative field. * Master's degree preferred. * 1-3 years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.

Apex Systems

Data Analyst

Juno Beach, FL · On-site

Proficiency in programming languages such as Python, R, or Scala for data analysis and machine learning. * Experience with data processing frameworks like Apache Spark, Hadoop, or Kubernetes. * Adept ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Lake Worth, FL

Entry Level Machine Learning Engineer information

See Lake Worth, FL salary details

$26.7K

$61.6K

$104.9K

How much do entry level machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level machine learning engineer in Lake Worth, FL is $61,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,800.00 and $69,800.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Lake Worth, FL?

For Entry Level Machine Learning Engineer jobs in Lake Worth, FL, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Lake Worth, FL look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Lake Worth, FL are:

What cities near Lake Worth, FL are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Lake Worth, FL with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Lake Worth, FL as of August 2026, with employment types broken down into 4% Internship, 83% Full Time, and 13% Contract. Highlights an 74% In-person, 2% Hybrid, and 24% Remote job distribution, with an average salary of $61,640 per year, or $29.6 per hour.

Development Engineer

Power Systems Mfg., LLC

Jupiter, FL • On-site

Full-time

Re-posted 14 days ago

Key responsibilities

  • Develop and maintain software for monitoring, analyzing, and graphically representing gas turbine operations.

  • Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities.

  • Work with operational teams to support and troubleshoot issues with customer data and cloud infrastructure.

Job description

POSITION: Development Engineer, Monitoring & Diagnostics

LOCATION: Jupiter, Florida / Hybrid

STATUS: Salaried Non-Exempt


JOB SUMMARY

ESSENTIAL DUTIES AND RESPONSIBILITIES

The essential functions of the job include, but are not limited to, the following:

  • Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities (AWS full stack development, EC2, S3, Lambda, Amplify) 
  • Utilize AI models for knowledge base agent/digital twin of gas turbine.
  • Develop/maintain software for monitoring, analyzing and graphically representing gas turbine operations.
  • Continuously refine/train models to mimic real life engine behavior, minimize false alarms, and predict gas turbine alarms before they occur
  • Work with operational team to support and troubleshoot issue with customer data and cloud infrastructure
  • Continuously improve the OSIsoft PI system architecture
  • Other duties as assigned


MINIMUM REQUIREMENTS

  • Education: Bachelor’s degree in Computer Science, Data Science, Data Analytics, Mechanical Engineering, or a related quantitative/technical field.
  • Generative AI & ML: Practical experience with Machine Learning (ML) and Artificial Intelligence (AI) frameworks. Familiarity with Large Language Models (LLMs) and Foundational Models via platforms like Amazon Bedrock.
  • Full-Stack Development: Understanding of AWS Full-Stack development workflows, including API Management, IAM roles, and cloud security best practices.
  • AWS Cloud Ecosystem: Hands-on experience with AWS Cloud Architecture. Proficiency in core services including EC2 (Compute), S3 (Storage), and AWS Lambda (Serverless).
  • Programming Languages: Proficiency in at least one modern language: Python, TypeScript, C#, or MATLAB.
  • DevOps & Tools: Basic knowledge of Software Development Life Cycle (SDLC), Version Control (Git/GitHub), and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Methodology: Familiarity with Agile/Scrum environments and iterative development processes.
  • Data Analysis: Strong aptitude for data visualization and data modeling.
  • DataBase experience: Experience with SQL and noSQL databases. 

Preferred Skills/Experience

  • AWS Certifications: Active certifications such as AWS Certified Developer, Solutions Architect, or Machine Learning – Specialty.
  • Advanced AI/ML: Exposure to Natural Language Processing (NLP), Neural Networks, or Generative AI integration via Amazon Bedrock and SageMaker.
  • Data Science Stack: Proficiency in data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn)
  • Modern Web Frameworks: Experience in Full-Stack Development using React.js and TypeScript to build responsive user interfaces.
  • API Development: Knowledge of building and consuming RESTful APIs or GraphQL to connect front-end applications with cloud backends.
  • State Management: Familiarity with tools like Redux, Context API, or Zustand for complex UI logic.
  • Version Control: Mastery of Git workflows, including branching strategies, pull requests, and code reviews.
  • CI/CD Pipelines: Experience with AWS CodeCommit, GitHub Actions, or GitLab CI for automated testing and deployment.
  • Infrastructure as Code (IaC): Basic understanding of AWS CloudFormation or Terraform is a significant advantage.

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