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Machine Learning Government Jobs in Florida (NOW HIRING)

Endurion

Data Scientist

Tampa, FL · On-site

Expert Python developer using many different machine learning and data science frameworks including ... data for government. * Effective communicator, support technical exchanges with scientists and ...

AIS Inc

Data Scientist

Miami, FL · On-site +1

... government data standards * Develop, test, and evaluate analytical workflows and models to improve data processing efficiency * Support annotation of datasets and development of machine learning ...

AIS, Inc.

Data Scientist

Miami, FL · On-site

... government data standards * Develop, test, and evaluate analytical workflows and models to improve data processing efficiency * Support annotation of datasets and development of machine learning ...

ManTech

Data Scientist

Fort Walton Beach, FL · On-site

Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the ... Perform statistical modeling and machine learning cloud-based ML platforms. * Communicating complex ...

New

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 ...

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 ...

ManTech International

Data Scientist

Tampa, FL · On-site

Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the ... Perform statistical modeling and machine learning cloud-based ML platforms. * Communicating complex ...

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 ...

Metova Federal

Training Solutions Intern

Orlando, FL

$14 - $18.75/hr

... Federal Government and industry. Since 2004, CESI has been at the forefront of developing ... Familiarity with machine learning concepts or computer vision applications. CESI recognizes that ...

Metova Federal

Training Solutions Intern

Orlando, FL

$14 - $18.75/hr

... Federal Government and industry. Since 2004, CESI has been at the forefront of developing ... Familiarity with machine learning concepts or computer vision applications. Special Requirements ...

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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 Jun 24, 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in government agencies, tech companies, or research institutions with competitive compensation packages. Such salaries reflect the high demand for expertise in AI and the complexity of the work involved.

Which 5 jobs will survive AI?

Machine Learning Government roles that involve complex decision-making, policy development, and oversight are less susceptible to automation. Jobs requiring human judgment, ethical considerations, and interpersonal skills—such as data analysts, AI ethics specialists, cybersecurity experts, government strategists, and technical trainers—are likely to persist alongside AI advancements. Continuous learning and certification in AI tools can also enhance job security in this field.

Which 3 jobs will survive AI?

Machine Learning Government roles such as data analysts, AI ethics specialists, and cybersecurity professionals are likely to persist as AI automates routine tasks. These jobs require critical thinking, domain expertise, and ethical judgment that are difficult for AI to replicate fully. Skills in programming, data management, and regulatory knowledge will remain valuable in these fields.

Is ML a high paying job?

Machine Learning roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and organization, but they tend to be above average compared to many other roles in technology and government sectors.

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 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 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 June 2026, with employment types broken down into 69% Full Time, 26% Part Time, and 5% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $35,472 per year, or $17.1 per hour.

Data Scientist

Endurion

Tampa, FL • On-site

Full-time

Posted 14 days ago

Job description

Job Title:  Data Scientist

Experience Levels: 3+ years

Location: Located in Doral, FL with 10% travel requirement

Clearance: TS/SCI

Quiet Professionals (d.b.a Endurion) is seeking a dedicated and proactive technical subject matter expert to work in all stages of the data development lifecycle for advanced analytics projects including Big Data, artificial intelligence/machine learning, and other applications to advance current platform capabilities within multiple classification domains. Use data enrichment techniques to feed RDF triplestore and manage data with graph database. Uncovers and explains actionable insights from data by combining scientific method, math and statistics, specialized programming, advanced analytics, AI, and storytelling.

Duties and Responsibilities:

  • Accelerate progress on JADC2 related strategies for the Combatant Command (CCMD) in support of the AI and Data Acceleration.
  • Support the integration and scaling ongoing and proven capabilities used in real-world operations, simulations, experiments, and demonstrations. 
  • Improve the organization’s data management with CDAO, ADVANA, CDO, and other internal/external entities to scale existing platforms and assist warfighters in making data visible, accessible, understandable, linked, trustworthy, interoperable, and secure. 
  • Expert Python developer using many different machine learning and data science frameworks including TensorFlow, PyTorch, Keras, Ray, RLLib, numpy/scipy, scikit-learn, Caffe, pandas, PyMC3, and numerous others.
  • Utilize knowledge of computer networking concepts and protocols, and network security methodologies to support enterprise data capabilities. 
  • Provide risk management matrix (e.g., methods for assessing and mitigating risk) on implementation of data strategies and use-cases in support of critical CCMD missions. 
  • Skill in conducting queries and developing algorithms to analyze data structures.
  • Experienced in modern approaches to artificial intelligence, including deep learning, and keep up on latest advances by actively implementing and applying and inferential statistics, sampling, experimental design, parametric and non-parametric tests of difference, ordinary least squares regression, general line).
  • Skill in creating and utilizing mathematical or statistical models.
  • Design, develop, and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design.
  • Conduct intelligence activities involving Publicly Available Information and Commercially Available Information according to EO 12333 and DoD 5240.1.R. 
  • Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists.
  • Analyze data sources to provide actionable recommendations.
  • Expert in data enrichment pipelines to support Resource Description Framework (RDF) triplestore, semantic web and graph database. 
  • Well-versed in a variety of NoSQL and relational database technologies including Elasticsearch, MongoDB, and modern graph databases such as DGraph and ArangoDB
  • Skill in using deep learning approaches to build machine learning models.
  • Develop data visualizations using tools such as d3.js, bokeh, matplotlib, and others
  • Proficient applying large scale data processing technologies such as the Apache Spark, Kafka, and the Hadoop ecosystem (HDFS, YARN, Zookeeper) to developing scalable advanced analytics including data mining and anomaly detection.
  • Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.
  • Effective communicator, support technical exchanges with scientists and engineers to expression of high level insights to customers and management
  • Develop, document, implement, and automate ETL (extract transform load) processes using SQL® and other analytical programming tools that most efficiently import structured, semi-structured, and unstructured data from new and/or dynamic data sources, ensuring data validity, reliability, and availability to users.
  • Support implementation of DoD and Intelligence Community Data, Cyber, Artificial Intelligence Strategy. 
  • Provide Educational Courses on Data and machine learning to staff, supporting the concept of “Fail Fast, Learn Rapid” in advancing DoD Data Literacy. 

Requirements:

  • Bachelor's Degree or Higher in one of the following disciplines: Operations Research, Applied Mathematics, Engineering, Science, Computer Science, Mathematics, Statistics or GIS with 3+ years of relevant experience.
  • Experience interacting with “big data” systems such as Microsoft Azure Data Lake, Elastic Cloud, and/or Amazon Web Services (AWS).
  • Experience with various data ingestion techniques and script writing for data ingestion.
    • Proficient in one or more programing languages: R, Python, Java, Scala, HTML, Matlab, R, SQL, C/C++, and JavaScript.
    • Proficient in one or more Libraries: numpy/scipy, scikit-learn, pandas, PyMC3, Ray/RLLib, Theano, TensorFlow, PyTorch, Caffe, Keras, pyspark, OpenCV, AngularJS, D3.js, jQuery, Boost (C++).
    • Proficient in Software/Frameworks: Power Apps, Power Automate, ArcGIS Platform, Docker, Kubernetes, Kibana, Logstash, Node.js, YARN, Zookeeper, HDFS, Apache Spark, Apache Kafka, Ambari, Git, MS Office (Word, Powerpoint, Excel), Unix/Linux, OpenStack, AWS, Azure, VMWare.
    • Proficient in Databases: Dgraph, ArgangodB Elasticsearch, PostgreSQL/PostGIS, MySQL, MongoDB, Redis, Accumulo.
    • Proficient in Geospatial Information Systems (GIS) software (e.g., ESRI ArcGIS® suite) to support data analysis in varying domain classifications.
  • Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity.
  • Knowledge of cybersecurity principles; cyber threats and vulnerabilities; specific operational impacts of cybersecurity lapses.
  • Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).
  • Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments.
  • Knowledge of statistical/machine learning algorithms.
  • Knowledge of digital rights management.
  • Knowledge of mathematics, including logarithms, trigonometry, linear algebra, calculus, statistics, and operational analysis.
  • Knowledge of programming language structures and logic.

Preferred: 

  • Degree in one of the following disciplines: Applied Mathematics, Engineering, Science, Computer Science, Mathematics, Statistics or GIS.
  • Geospatial Information Systems (GIS) software (e.g., ESRI ArcGIS® suite).


Endurion complies with all Equal Employment Opportunity (EEO) requirements. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. Endurion will provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA). If you need assistance or an accommodation due to a disability, please contact us at recruiting@endurion.com.

This job description is intended to describe the general nature and level of work performed by employees in this position. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management retains the discretion to add to or modify the duties of the position at any time. Employment with Endurion is at-will, meaning that either the employee or the employer may terminate the employment relationship at any time, with or without cause or advance notice, provided it does not violate applicable law.