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

MANUFACTURING ENGINEER

Palm Bay, FL · On-site

$62K - $80K/yr

Foster a culture of continuous learning and skill development within the machining team, promoting ... Bachelor's degree in mechanical engineering, Manufacturing Engineering, or a related field; or ...

MANUFACTURING ENGINEER

Palm Bay, FL · On-site

$70 - $100/hr

Foster a culture of continuous learning and skill development within the machining team, promoting ... Bachelor's degree in mechanical engineering, Manufacturing Engineering, or a related field; or ...

New

Partner with developers to optimize data access by refactoring Entity Framework queries and ... NET/C#, cloud migration, Azure Machine Learning, and distributed systems (e.g., Hadoop)

Manufacturing Engineer

Cape Canaveral, FL · On-site

$61K - $79K/yr

We foster a culture of collaboration, continuous learning, and agility, empowering our team to ... Require strong manufacturing background in machining, sheet metal, tooling and composites/ plastics.

Posted today

Showing results 41-60

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.

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:

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.

Full-time

Posted 9 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

Conduct advanced research in statistics, data analytics, and machine learning with an emphasis on multimodal data fusion and predictive modeling for lung cancer risk assessment. Develop and evaluate statistical and AI-based methods for feature selection, biomarker identification, and risk prediction using heterogeneous biomedical data. Contribute to multidisciplinary research projects, identify emerging research opportunities, assist in the preparation of grant proposals and technical reports, and collaborate with faculty, investigators, and external partners. Provide technical leadership, mentor junior researchers as appropriate, and support the dissemination of research findings through high impact factor journals, presentations, and grant proposals.
The successful candidate will hold a Ph.D. in statistics, computer science, computer engineering, biomedical engineering, or related fields and possess strong expertise in statistics, machine learning, and biomedical data analysis. The position requires excellent analytical and technical skills, the ability to develop innovative research methodologies, and experience working in collaborative multidisciplinary environments. The candidate should demonstrate leadership, effective communication, and the ability to contribute to research strategy, proposal development, technical documentation, dissemination of research findings through high impact factor journals, and collaborations with internal and external stakeholders.
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 calling the 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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