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Machine Learning Engineer Jobs in Jupiter, FL (NOW HIRING)

Teksoft Systems Inc

Data Scientist

Palm Beach, FL · On-site

Experience with machine learning and LLMs is a strong plus. Required Skills & Qualifications 8+ ... and feature engineering Experience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake, etc ...

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 · On-site

$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 ...

Power Systems Mfg., LLC

Machinist

Jupiter, FL · On-site

$21.25 - $29/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 JobsMachine Learning Engineer Jobs in Jupiter, FL

Machine Learning Engineer information

See Jupiter, FL salary details

$30.8K

$125.9K

$189.2K

How much do machine learning engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine learning engineer in Jupiter, FL is $125,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $151,600.00 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.

More about Machine Learning Engineer jobs

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

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

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

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

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Jupiter, FL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,914 per year, or $60.5 per hour.

Data Scientist

Palm Beach, FL • On-site

Teksoft Systems Inc
IT Services • 11 - 50 employees
Learn more about Teksoft Systems Incexternal

Other

Posted 18 days ago

Job description

Job Title: Data Science 

Location : Palm Beach , FL (Day One Onsite to Client Location) 

Experence : 8 + Years 

Hhands-on experience in data cleaning, transformation, and analysis using Python.

The ideal candidate is comfortable working with large, messy datasets, has exposure to modern data technologies, and brings a strong analytical mindset.

Experience with machine learning and LLMs is a strong plus.
Required Skills & Qualifications
8+ years of experience as a Data Scientist / Data Analyst

Strong proficiency in Python for data manipulation and analysis

Pandas, NumPy, SciPy

Solid understanding of data cleaning, transformation, and feature engineering

Experience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake, etc.)

Familiarity with data visualization tools

Matplotlib, Seaborn, Plotly, or Power BI/Tableau

Understanding of statistics and data analysis fundamentals

Experience working with APIs and external data sources

Strong problem-solving and communication skills

Apply