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Machine Learning Government Jobs in Florida (NOW HIRING)

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 ...

Venatore

Data Analyst with Security Clearance

Tampa, FL · On-site

About Us Venatôre is a mission-driven government contractor based in Tampa, FL, supporting federal ... Experience supporting AI, machine learning, predictive analytics, or advanced analytics initiatives.

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 ...

Venatore Llc

Data Analyst

Tampa, FL · On-site

About Us Venatôre is a mission-driven government contractor based in Tampa, FL, supporting federal ... Experience supporting AI, machine learning, predictive analytics, or advanced analytics initiatives.

Metova Federal

Training Solutions Intern

Orlando, FL · On-site

$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 ...

Prescient Edge

Data Scientist

Doral, FL · On-site

... support a federal government client. Please note that the availability of this position is ... Azure Machine Learning, and in implementing models into operational workflows. Education: * A ...

Core One

Data Scientist

Tampa, FL · On-site

Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat ... Coordinate with program managers, data engineers, and government stakeholders to ensure data ...

540

Security Operations Engineer

Satellite Beach, FL

This platform leverages Machine Learning, modern cloud and containerized technologies to ingest ... Security Specialist III WHY 540? 540 is a forward-thinking company that the government turns to in ...

New

Core One

Data Scientist

Tampa, FL · On-site

Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat ... Coordinate with program managers, data engineers, and government stakeholders to ensure data ...

Booz Allen Hamilton

Data Scientist, Mid

Homestead, FL · On-site

... and machine learning models on platforms such as Databricks, Snowflake, or Palantir Foundry • ... for defense, government, or private-sector clients • Experience with predictive modeling ...

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 ...

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All JobsMachine Learning Government JobsMachine Learning Government Jobs in Florida

Machine Learning Government information

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How much do machine learning government jobs pay per hour?

As of Jun 28, 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 94% Full Time, and 6% Part Time. 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.
Data Scientist Lead

Data Scientist Lead

ECS

Tampa, FL • On-site

Full-time

Posted 21 days ago

Job description

Everforth ECS is seeking a Data Scientist Lead to join our team in Tampa, FL.
The successful candidate will be a senior subject matter expert in data science, leading a team of data professionals to enhance the command's data-driven decision-making capabilities. This role requires a demonstratable history of designing, developing, and operationalizing advanced analytical solutions within Military, Federal, or Intelligence organizations.
The Data Scientist Lead will provide oversight for the Data Management team and drive the implementation of strategic initiatives in data engineering, data science, and Artificial Intelligence/Machine Learning (AI/ML). You will be responsible for translating mission needs into high-impact technical solutions, from data ingestion and model development to the deployment of full-stack AI-driven capabilities that directly support military operations.
Key Responsibilities:
  • Provide comprehensive leadership and oversight for the data engineering, analytics, and predictive analytics team, ensuring all services align with strategic operational objectives.
  • Lead the development and implementation of advanced analytics, statistical model development, data governance, and the integration of innovative technologies to inform operational decisions.
  • Apply advanced machine learning and AI techniques, including unsupervised, supervised, reinforcement learning, and generative AI (e.g., Large Language Models, multi-modal AI), to identify patterns and generate mission-critical insights.
  • Oversee the development, deployment, and maintenance of high-quality, fault-tolerant data pipelines to clean, tag, and ingest structured and unstructured data into data lakes and lakehouses.
  • Direct the data science lifecycle, from exploration and algorithm development to statistical validation and solution operationalization, ensuring deployed capabilities meet mission requirements.
  • Coordinate with the USCENTCOM Chief Data Officer (CDO), the Operations Directorate Executive Data Officer (XDO), and participate in relevant forums to interpret mission needs and define operational data requirements.
  • Serve as the senior technical advisor for the team, guiding the use of query languages (SQL), programming languages (Python, R), and analytics platforms to enable data-driven decisions.
  • Translate highly technical information and findings into clear, actionable insights for a broad, non-technical operational audience and senior leadership.
  • Manage and prioritize multiple projects and tasks simultaneously in a dynamic, fast-paced work environment.

  • Must be a U.S. Citizen
  • Active Top Secret clearance and SCI eligibility.
  • BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or a related field.
  • More than 10 years of relevant work experience, with significant experience leading data science or analytics teams.
  • Demonstrated experience capturing, implementing, and managing data science requirements for senior Military, Federal Government, or Intelligence Community stakeholders.
  • Proven expertise in applying advanced AI/ML techniques and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to solve complex problems.
  • Highly proficient in Python and/or R for data engineering, automation, and model development.
  • Experience with data engineering concepts, including building and maintaining data pipelines (ETL/ELT), data warehousing, and data lake/lakehouse architectures.
  • Familiarity with data visualization and analytics platforms such as Power BI, Tableau, Qlik, or Palantir Foundry / Maven Smart System (MSS).
  • Experience with data storage and processing tools (e.g., Apache Spark, Databricks, Hadoop) and databases (e.g., TSQL, MySQL, Oracle, PostgreSQL).
  • Excellent written and verbal communication skills, with experience briefing senior leaders.
  • Must be available for occasional travel to domestic and international locations.

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