ZipRecruiter

Log In

1

Machine Learning Government Jobs in Florida (NOW HIRING)

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

$73K - $131K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ... S. Government. Privacy Your data privacy is important to ENSCO. Please click here to view our ...

Graham Technologies

Data Scientist

Tampa, FL · On-site

Develop machine learning models using algorithms such as Random Forest, Gradient Boosting, XGBoost ... Conduct knowledge transfer sessions and provide training to Government personnel on analytical ...

New

kgs

Data Scientist

Cape Canaveral, FL

... Government Services company, is seeking a skilled Data Scientist to join our team at Stennis Space Center, Mississippi. The ideal candidate will leverage advanced analytics, machine learning, and ...

kgs

Data Scientist

Cape Canaveral, FL

... Government Services company, is seeking a skilled Data Scientist to join our team at Stennis Space Center, Mississippi. The ideal candidate will leverage advanced analytics, machine learning, and ...

Raft

ML Ops Engineer

Tampa, FL · On-site

... Machine Learning model training and deployment, collaborating with a cross-functional data team ... and government mission operations. Founded in 2018, the company is headquartered in Reston, USA ...

Venatore Llc

Data Scientist Lead

Tampa, FL · On-site

... and machine learning capabilities that enhance data-driven decision-making across the command. Working closely with senior government stakeholders, including the Chief Data Officer (CDO) and ...

next page

Showing results 1-20

All JobsMachine Learning Government JobsMachine Learning Government Jobs in Florida

Machine Learning Government information

See Florida salary details

$10

$17

$23

How much do machine learning government jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for machine learning government in Florida is $17.05, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the machine learning government position, and why are they important?

To excel in a Machine Learning Government role, candidates typically need expertise in data analysis, machine learning algorithms, and programming languages such as Python or R, often backed by a degree in computer science, data science, or a related field. Familiarity with government data systems, cloud platforms, and security protocols, as well as certifications like Certified Data Professional (CDP), can be valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-experts are highly desirable soft skills. These competencies enable professionals to effectively integrate machine learning solutions while adhering to regulatory requirements and serving public sector objectives.

What types of government projects do machine learning professionals typically work on?

Machine learning professionals in the government sector often work on projects related to public service optimization, fraud detection, public safety analytics, and predictive modeling for policy development. These roles may involve collaborating with cross-functional teams, including data analysts, policymakers, and IT specialists, to turn large datasets into actionable insights. Daily tasks might include cleaning and analyzing data, building predictive models, and presenting results to stakeholders with varying technical backgrounds. The work environment is usually mission-driven, with an emphasis on transparency, compliance, and impact. Over time, professionals in this field can advance into leadership or specialized research roles, contributing to innovative solutions that benefit the public.

What is a machine learning government?

A Machine Learning Government job involves applying artificial intelligence and data science techniques to solve problems in public sector domains like healthcare, cybersecurity, law enforcement, and policy analysis. Professionals in this field work with large datasets, develop predictive models, and enhance decision-making processes for government agencies. They may also focus on ethical AI deployment, regulatory compliance, and ensuring transparency in machine learning applications. These roles often require expertise in programming, statistics, and domain-specific knowledge related to government operations.

What are the most commonly searched types of Machine Learning Government jobs in Florida? The most popular types of Machine Learning Government jobs in Florida are:
What are popular job titles related to Machine Learning Government jobs in Florida? For Machine Learning Government jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Machine Learning Government jobs in Florida look for? The top searched job categories for Machine Learning Government jobs in Florida are:
Machine Learning Government jobs near you
Infographic showing various Machine Learning Government job openings in Florida as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $35,472 per year, or $17.1 per hour.

Machine Learning Engineer

ENSCO, Inc.

Melbourne, FL • On-site

$73K - $131K/yr

Full-time

Re-posted 14 days ago

Job description

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide.
ENSCO prides itself in creating and applying advanced technologies for mission success. We provide systems engineering, integration, and advanced technology services to transform the future safety, security, and resiliency of critical missions on the ground, in the air, in space, and in the information systems that connect these domains.
Learn more about ENSCO.
Position Description
ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets. Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters. The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions. Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security. A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
Qualifications Required:
• Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline. Direct relevant military experience will also be considered.
• Minimum of 3 years related industry experience in machine learning, data science, and analytics.
• Proven track record of successful data science and algorithm implementation.
• Provide mentorship to junior ML engineers.
• A self-starter with excellent oral and written communication skills.
• Experience navigating and programming within the Linux environment.
• Experience working with structured and unstructured databases.
• Advanced proficiency with data science languages (e.g. Python, Matlab,)
• Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
• Experience working with large data sets and ability to extract relevant information from data sets.
• The ability to obtain and maintain a US security clearance is required for this position, for which you must be a U.S. Citizen
Qualifications Desired:
• Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
• Experience with ML/DL algorithms extracting signal from noise.
• Past experience being able to develop solutions using disparate data sets through ML techniques.
• DevOps experience involving CI/CD pipelines to build and deploy.
• Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
• An Active TS/SCI clearance.
Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Ability to obtain
Employment Type: Regular Full-time
Background Check Type: 7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes
Salary Range
$73,923.20-$131,331.20 USD
REAL ID Requirement
This position may require the ability to access to U.S. federal facilities. In accordance with the Department of Homeland Security's enforcement of the REAL ID Act, as of May 7, 2025, individuals must present a REAL ID-compliant form of identification or an acceptable alternative to gain entry. For a list of acceptable forms of identification, please click here.
Benefits
At ENSCO, a positive working environment and a competitive salary are only part of the reason for choosing a career here. We offer a comprehensive benefits package that creates a stimulating and supportive environment where you can thrive - visit ensco.com/careers/benefits to learn more.
Export Control and Licensing
This position may involve access to technology or technical data that is controlled under U.S. export control laws and regulations and the release of which to a non US person may require an export license from the U.S. Government.
Privacy
Your data privacy is important to ENSCO. Please click here to view our privacy policy. California residents can click here to view your California privacy rights.
EEO Statement
ENSCO, Inc. and its wholly owned U.S. subsidiaries are Equal Opportunity Employers- veterans, disability

Apply