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

540

DevSecOps Engineer

Satellite Beach, FL · On-site

This platform leverages Machine Learning, modern cloud and containerized technologies to ingest ... You will work closely with engineers, architects, and cybersecurity stakeholders to integrate ...

kgs

Software Engineer

Cape Canaveral, FL · On-site

The Software Engineer will be responsible for designing, implementing, and maintaining complex ... Machine learning/AI concepts * Performance optimization techniques * Enterprise architecture ...

kgs

Software Engineer

Cape Canaveral, FL · On-site

The Software Engineer will be responsible for designing, implementing, and maintaining complex ... Machine learning/AI concepts * Performance optimization techniques * Enterprise architecture ...

TEKFORTUNE INC

Senior Software Engineer

Melbourne, FL · On-site

$113K - $149K/yr

They are seeking a highly experienced Senior Software Engineer to lead the design, development, and ... or machine learning libraries. • Demonstrated experience in developing software solutions ...

540

Senior Cloud Engineer

Satellite Beach, FL · On-site

$51.50 - $69/hr

540 is seeking a Senior Cloud Engineer to support our partnership with Google and the Department of ... This platform leverages Machine Learning, modern cloud and containerized technologies to ingest ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Melbourne, FL

Machine Learning Engineer information

See Melbourne, FL salary details

$29.2K

$119.4K

$179.4K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Melbourne, FL is $119,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $143,700.00 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 Melbourne, FL?

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

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

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

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Melbourne, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $119,359 per year, or $57.4 per hour.

Research Staff-2

Florida Institute of Technology

Melbourne, FL • On-site

Part-time

Posted 16 days ago

Florida Institute Of Technology rating

6.1

Company rating: 6.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

551st of 619 rated colleges and universities

Job description

Support research activities in deep learning, artificial intelligence, machine learning, and data analytics across multidisciplinary projects involving biomedical, clinical, imaging, and other complex datasets. Assist with data preprocessing, model development, implementation, training, validation, and performance evaluation using modern AI and statistical techniques. Contribute to software development, data visualization, technical documentation, literature reviews, and preparation of research publications in high impact journals, presentations, and grant proposals. Collaborate effectively with faculty, research staff, and students while supporting ongoing research initiatives in a flexible, team-oriented environment.

The ideal candidate has MS or PhD degree with a background in computer science, data science, engineering, statistics, mathematics, or a related quantitative discipline, with experience in deep learning, machine learning, programming, and data analytics. Recent graduates, or professionals with relevant research or industry experience are encouraged to apply. The candidate should possess strong analytical and problem-solving skills, be able to work independently and collaboratively, and demonstrate effective communication and technical documentation abilities. Experience with Python, PyTorch, TensorFlow, data visualization, cloud computing, or biomedical data analytics is desirable. This position is designed to accommodate applicants with a broad range of AI, data science, and computational research expertise while providing opportunities to contribute to cutting-edge multidisciplinary research projects.

Equal Opportunity

Florida Institute of Technology does not discriminate on the basis of race, color, national or ethnic origin, religion, disability, age, genetic information, marital status, citizenship status, veteran status, and other legally protected characteristics in its activities and programs. In accordance with Title IX of the Education Amendments of 1972, Florida Tech does not discriminate on the basis of sex. Inquiries concerning the application of the Non-Discrimination and Anti-Harassment policy may be directed to the Equal Opportunity Director and Investigator at 150 West University Blvd, Melbourne, FL 32901, or email equalopp@fit.edu, or +1 321-674-7153; or to the U.S. Department of Education Office for Civil Rights.

Americans with Disabilities Act

Please notify us at least five days in advance if a reasonable accommodation for a disability is needed by callingthe Office of Human Resources at 321-674-8100.

Annual Security & Fire Safety Report

The federal Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act) requires colleges and universities, both public and private, participating in federal student aid programs to disclose campus safety information, and imposes certain basic requirements for handling incidents of sexual violence and emergency situations.

Florida Tech's 2025 Annual Security and Fire Safety Report includes statistics for the previous three years concerning reported crimes that occurred on campus; in certain off-campus buildings or property owned or controlled by Florida Tech; and on public property within, or immediately adjacent to and accessible from, the campus.

The numbers provided include crime statistics that were reported to local law enforcement agencies, campus security and other Campus Security Authorities.

The report also includes institutional policy statements regarding campus safety and security measures; descriptions of prevention and awareness programs; related university procedures and important guidance; and other essential safety information.

You can obtain a printed copy of this report at the Department of Security Welcome Center located at 3126 Panther Place, during normal business hours, or by accessing the following website 2025 Annual Security and Fire Safety Report.

Official Transcripts

Official transcripts of all collegiate work must be sent directly from the attended institution to the Office of Human Resources prior to the first day of employment. All international degrees must have a course-by-course official evaluation and translation sent to the Human Resources Office directly from an evaluation company affiliated with the National Association of Credential Evaluation Services, Inc. (NACES).


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