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Machine Learning Government Jobs in Florida (NOW HIRING)

WWC Global, an operating firm of Command Holdings, is seeking a Machine Learning (ML) Engineer to ... S. government agencies. Pursuant to PL 93-638, as amended, preference will be given to qualified ...

Senior Machine Learning Engineer

West Palm Beach, FL ยท On-site +1

$118K - $156K/yr

You will play a major part in building AI and Machine Learning (ML) solutions that transform the ... government authorities for certain individuals. All employment is contingent upon ServiceNow ...

Senior Machine Learning Engineer

West Palm Beach, FL ยท On-site +1

$118K - $156K/yr

You will play a major part in building AI and Machine Learning (ML) solutions that transform the ... government authorities for certain individuals. All employment is contingent upon ServiceNow ...

Data Scientist

Tampa, FL ยท On-site

$120 - $190/hr

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 ...

... 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 ...

... 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 ...

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Machine Learning Government information

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How much do machine learning government jobs pay per hour?

As of Sep 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 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 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 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 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:

Infographic showing various Machine Learning Government job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,472 per year, or $17.1 per hour.

Machine Learning (ML) Engineer

Command Holdings

Tampa, FL โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

WWC Global, an operating firm of Command Holdings, is seeking a Machine Learning (ML) Engineer to serve on a potential contract supporting USSOCOM's mission to transform the SOF Enterprise into a decisive data-centric organization by applying scientific methods, algorithms, processes, and systems to extract actionable insights and knowledge from both structured and unstructured data, enabling the full spectrum of analysis, including descriptive, diagnostic, predictive, and prescriptive analytics.
Responsibilities may include, but are not limited to:
  • Designing, developing, deploying, and maintaining machine learning models and AI-enabled systems that support SOF Enterprise data analysis, operational planning, and decision advantage.
  • Developing AI/ML algorithms and models including those designed for Natural Language Processing (NLP), computer vision, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and decision-making that learn from data to identify patterns and improve performance over time.
  • Building and managing end-to-end ML pipelines, including data ingestion, feature engineering, model training, validation, deployment, and monitoring.
  • Conducting AI/ML modeling and simulation efforts to create models that analyze data, recognize patterns, and make predictions, and using those models to simulate real-world scenarios to test various outcomes without real-world risk.
  • Implementing MLOps practices to ensure scalable, repeatable, and auditable model development and deployment workflows.
  • Conducting suitability and feasibility assessments to confirm AI/ML is the appropriate tool for a given task and establishing clear requirements and fully specified tasks prior to development.
  • Ensuring all LLM/RAG experimentation and model development adheres to mandatory security and data governance requirements defined by Federal, DoW, and SOCOM policies.
  • Designing and testing analytics and AI-enabled solutions side-by-side with SOF stakeholders and demonstrating capabilities via robust campaigns of learning.
  • Identifying and mitigating operational environment constraints, such as limited bandwidth at the tactical edge and contested environments early in the development process.
  • Supporting the establishment of clear pathways to adopt capabilities deemed successful after rigorous testing to ensure sustainment and wide-scale adoption.
  • Utilizing appropriate code share repositories (e.g., GitHub) for all development activities.

This position is contingent on contract award.
Work Environment:
  • Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment).
  • Ability to sit at a computer terminal for an extended period of time.

Physical Demands:
  • While performing the responsibilities of the job, the employee is required to sit, stand, talk, and hear.
  • Employee is often required to sit and use their hands and fingers to operate a computer.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Travel:
  • 0-10% / Minimal travel.

WWC Global, an operating firm of Command Holdings, is a tribally-owned firm providing management consulting services to U.S. government agencies.
Pursuant to PL 93-638, as amended, preference will be given to qualified Native Americans and spouses in all phases of employment.
At WWC Global, our employees are the embodiment of our success as a firm. Our team is comprised of a tenacious group of professionals located across the globe. It includes military veterans and spouses of active duty troops, former federal employees, policy experts, academics, attorneys, and technical and business experts, all of whom share a strong work ethic and the skills to succeed in both collaborative and independent environments. WWC Global is invested in the long-term success of both our clients and colleagues for the right reasons. Our dedication to putting good government into practice is underpinned by a merit-based culture that measures success by productivity and credibility.
WWC Global will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to the Human Resources Team.
WWC Global is committed to equal employment opportunity based on merit. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, sex, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law, and in accordance with EO 14173 and Federal Employment Laws: Equal Employment Opportunity and Employee Polygraph Protection Act.
WWC Global's Affirmative Action Program is available to any employee or applicant for employment for inspection upon request, to the extent required by federal regulations. The Affirmative Action Program can be accessed during normal business hours by making an appointment with the Human Resources Team.
Basic Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related technical field.
  • Minimum of five (5) years of experience in machine learning engineering, data science, or a related technical discipline, including hands-on experience designing, training, deploying, and monitoring ML models in cloud or hybrid production environments.
  • Current, active TS/SCI security clearance.
  • Outstanding communication skills, influencing abilities, and client focus.
  • Professional proficiency in English is required.
  • Demonstrated proficiency in using all Microsoft Office applications.
  • Ability to access federal facilities in compliance with Real ID. More information about Real ID can be found here: https://www.dhs.gov/real-id/about-real-id and at https://www.tsa.gov/travel/security-screening/identification.
  • Applicants must be currently authorized to work in the United States on a full-time basis. WWC Global will not sponsor applicants for work visas for this position.

Preferred Requirements
  • Master's degree or PhD in Machine Learning, Computer Science, Artificial Intelligence, Applied Mathematics, or a related field.
  • Experience working in DoD or Intelligence Community environments.
  • Experience developing and deploying AI/ML capabilities in support of SOF or other warfighting organizations.
  • Experience with LLM/RAG development and GenAI operationalization in classified or restricted environments.
  • Experience conducting AI/ML experimentation and multi-lateral exercises to validate model performance against high-impact use cases.
  • Experience with low-bandwidth and Disconnected, Intermittent, and Limited (DIL) environment constraints.
  • One or more of the following: Databricks Certified Machine Learning Professional, AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, or equivalent AI/ML platform certification.

Benefits
WWC Global offers a competitive benefits plan including:
  • Health, Dental, and Vision Insurance
  • Flexible Spending Accounts
  • Life and Disability Insurance
  • 401(k)
  • Paid Time Off
  • Paid Holidays
  • Employee Assistance Program
  • Pet Insurance

*Eligibility requirements apply
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.