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Entry Level Machine Learning Engineer Jobs in Jupiter, FL

DataAnnotation

Programmer - AI Trainer

West Palm Beach, FL · On-site +1

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Power Systems Manufacturing

Machinist

Jupiter, FL

$20.25 - $27.75/hr

Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ... Study sample parts, drawings, or engineering information in order to determine methods and ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Jupiter, FL

Entry Level Machine Learning Engineer information

See Jupiter, FL salary details

$29.3K

$67.8K

$115.4K

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

As of Sep 13, 2026, the average yearly pay for entry level machine learning engineer in Jupiter, FL is $67,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,400.00 and $76,800.00 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 cities near Jupiter, FL are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Jupiter, 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 Jupiter, FL as of August 2026, with employment types broken down into 4% Internship, 84% Full Time, and 12% Contract. Highlights an 74% In-person, 2% Hybrid, and 24% Remote job distribution, with an average salary of $67,824 per year, or $32.6 per hour.

Senior Business Intelligence Engineer (Oracle, PostgreSQL, SQL, Databricks, Power BI, ETL)/Data Engi

Juno Beach, FL • On-site

VDart, Inc.
Software Development • 1 - 5K employees
Learn more about VDart, Inc.external

$49.75 - $64.75/hr

Other

Re-posted 3 days ago

Job description

Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
  • Experience designing and implementing enterprise data engineering and analytics solutions.
  • Strong experience with relational databases including Oracle, PostgreSQL, and SQL.
  • Hands-on experience with Databricks and modern data engineering platforms.
  • Experience designing ETL processes and enterprise data warehouse solutions.
  • Strong experience developing Power BI dashboards and reporting solutions.
  • Experience with AWS cloud services including AWS Database Migration Service (AWS DMS).
  • Knowledge of Microsoft Copilot and Microsoft AI Studio.
  • Experience with Agile methodologies and software development lifecycle (SDLC).
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent written, verbal, and interpersonal communication skills.
  • Ability to lead technical initiatives while working effectively across cross-functional teams.
Preferred Qualifications
  • Experience working within the nuclear, utilities, or regulated energy industry.
  • Experience with AI, Generative AI, and machine learning technologies.
  • Experience with IoT and real-time data processing.
  • Familiarity with data governance, data quality, data privacy, and data security frameworks.
  • Experience with cloud platforms including AWS and Google Cloud Platform (Google Cloud Platform).
  • Familiarity with Apache Spark, Hadoop, and big data technologies.
  • Experience with OpenSearch and Neo4j.
  • Knowledge of DevOps and CI/CD practices.
  • Understanding of regulatory compliance and security standards applicable to nuclear operations.
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About V Dart

Sourced by ZipRecruiter

Industry

Software development, internet and it and professional, scientific, and technical services

Company size

1,001 - 5,000 Employees

Headquarters location

Alpharetta, GA, US

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