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Machine Learning Government Jobs in Florida (NOW HIRING)

Pwc

Payer Healthcare Data Scientist, Manager

Miami, FL

$99K - $232K/yr

... and machine learning techniques to large-scale claims, clinical, and member data to surface ... government payer programs and Medicaid - Experience with NLP or unstructured clinical text ...

Pwc

Payer Healthcare Data Scientist, Manager

Tampa, FL · On-site

$99K - $232K/yr

... and machine learning techniques to large-scale claims, clinical, and member data to surface ... government payer programs and Medicaid - Experience with NLP or unstructured clinical text ...

ECS

Data Scientist Lead

Tampa, FL · On-site

Apply advanced machine learning and AI techniques, including unsupervised, supervised ... Military, Federal Government, or Intelligence Community stakeholders. * Proven expertise in ...

ManTech

Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the ... Experience with Python and machine learning library such as NumPy or Scikit-learn * Exceptional ...

Maximus, Inc.

Chief Data Scientist

Tampa, FL

... machine learning, Natural Language Processing (NLP), computer vision, Large Language Models (LLMs ... technical advisor to Government leadership and mission stakeholders, supporting reviews ...

Maximus

Chief Data Scientist

Tampa, FL · On-site

... machine learning, Natural Language Processing (NLP), computer vision, Large Language Models (LLMs ... technical advisor to Government leadership and mission stakeholders, supporting reviews ...

Advocate

Claims Assistant

Orlando, FL · On-site +1

$17.50 - $22.25/hr

Overview At Advocate, our mission is to empower Americans to obtain the government support they've ... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case ...

Advocate

Claims Assistant

Orlando, FL · Remote

$17.50 - $22.25/hr

Overview At Advocate, our mission is to empower Americans to obtain the government support they've ... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case ...

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How much do machine learning government jobs pay per hour?

As of May 29, 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 job?

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 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.
More about Machine Learning Government jobs
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 May 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $35,472 per year, or $17.1 per hour.
Chief Product Manager- Collaborative Autonomy and Controls

Chief Product Manager- Collaborative Autonomy and Controls

STR

Melbourne, FL • Hybrid

$265K - $325K/yr

Other

Posted 21 days ago

Job description

Chief Product Manager- Collaborative Autonomy and Controls

About the Team

STR's Analytics & C2 (AC2) Division develops novel technologies to solve challenging national security problems through advanced analytics, sense-making, and autonomy technologies. Our team consists of passionate, motivated individuals with backgrounds and interests in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success for our customers.

The Collaborative Autonomy and Controls (CAC) Group in the AC2 Division develops multi-agent autonomous systems executing multiple missions in a variety of operating domains. By leveraging expertise with machine learning, advanced algorithms, and software development best practices, we build technologies that transform reconnaissance, tactical operations, and many other mission areas.

The Role:
Work with CAC leadership to craft, drive, and execute a product development and marketing strategy that will integrate, test, and demonstrate CAC capabilities to achieve (1) more efficient re-use on new B2G (Business-to-Government) Research and Development opportunities, (2) integrated system offerings for B2G system acquisition opportunities, and (3) component and sub-system offerings for B2B (Business-to-Business) supply chain opportunities. Work with customers, end users, and CAC capability product owners to shape product development backlogs that balance short-term program goals with long-term and emerging customer needs. Work with a diverse set of customers and diverse set of problems, technology areas, and engineering teams. Support product architecture and design reviews as part of an agile development process.  This position will take advantage of STR's flexible, hybrid environment - when the work does not require use of STR's facilities, you are welcome to work remotely. 

Who You Are:

  • BS in engineering or related technical field with 15+ years' experience
  • Demonstrated expertise in autonomy system and algorithm development
  • Experience leading system and technology development teams
  • Proven understanding of multi-agent systems, collaborative operations, coordination and orchestration algorithms, distributed sense-making and control, and collaborative autonomy stacks
  • Proven understanding of motion planning, constraint optimization, perception, localization, mapping, controls, and related system performance metrics.
  • Proven ability to lead moderate to large engineering teams (10-40 engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance
  • Demonstrated experience in working with both internal leadership and external customers in the development and execution of technology and system development programs
  • US. Citizen with the ability to obtain a Security Clearance

Even Better: 

  • MBA or advanced degree in technical field
  • Experience with intelligent system architectures and machine learning methods
  • Active Security Clearance

Pay Information
Full-Time Salary Range: $265,000.00 - $325,000.00

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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