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Contract Machine Learning Startup Jobs in Florida

Data Analyst

Pensacola, FL · On-site

$60K - $80K/yr

Role Summary We're seeking a detail-oriented Data Analyst to join our machine learning team in an ... Ability to work on US Government Contracts (typically limited to US Citizens) * Required in-office ...

Data Analyst

Pensacola, FL · On-site

$60K - $80K/yr

Role Summary We're seeking a detail-oriented Data Analyst to join our machine learning team in an ... Ability to work on US Government Contracts (typically limited to US Citizens) * Required in-office ...

AI/ML Engineer

Melbourne, FL · On-site

$99K - $225K/yr

As an machine learning engineer, you understand goodsoftware is more than just a good user ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Engineer III

Melbourne, FL · On-site

$73K - $131K/yr

This role is responsible for data engineering and organization, data science, and machine learning ... None Position Contingent Upon Contract Award: Yes Salary Range $73,923.20-$131,331.20 USD REAL ID ...

Full Stack Engineer

Saint Petersburg, FL · On-site +1

$75K - $100K/yr

... Combining machine learning and AI with research frameworks and best practices to create an ... A desire to work in a startup: high impact and experimental. * An interest in mentorship, learning ...

... machine learning and large-scale systems. You'll balance short-term delivery with long-term ... Startup DNA: You've worked at a seed or Series A-C startup or have tried to build on your own. * E ...

Full Stack Engineer

Saint Petersburg, FL · On-site +1

$75K - $100K/yr

... Combining machine learning and AI with research frameworks and best practices to create an ... A desire to work in a startup: high impact and experimental. * An interest in mentorship, learning ...

... machine learning and large-scale systems. You'll balance short-term delivery with long-term ... Startup DNA: You've worked at a seed or Series A-C startup or have tried to build on your own. * E ...

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Showing results 1-20

Contract Machine Learning Startup information

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the key skills and qualifications needed to thrive in a Contract Machine Learning Startup role, and why are they important?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What is a Contract Machine Learning Startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.
What are the most commonly searched types of Machine Learning Startup jobs in Florida? The most popular types of Machine Learning Startup jobs in Florida are:
What are popular job titles related to Contract Machine Learning Startup jobs in Florida? For Contract Machine Learning Startup jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Startup jobs in Florida look for? The top searched job categories for Contract Machine Learning Startup jobs in Florida are:
What cities in Florida are hiring for Contract Machine Learning Startup jobs? Cities in Florida with the most Contract Machine Learning Startup job openings:
AI Modeling Specialist (Senior) with Security Clearance

AI Modeling Specialist (Senior) with Security Clearance

Amentum

Doral, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

*This position is contingent upon contract award* Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design, develop, and deploy advanced artificial intelligence and machine learning models that enable integrated planning, data exploitation, operational analysis, and decision support. This role directly supports automation, scalability, and data-driven decision superiority across global operations. As an AI Modeling Specialist (Senior) you will have the opportunity to: * Serve as the lead AI/ML technical expert supporting data-driven operations across planning, execution, and assessment activities for Combatant Commands (CCMDs). * Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support. * Develop and operationalize AI-enabled capabilities that automate data ingestion, processing, and analysis across structured and unstructured data sources. * Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration. * Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information environment. * Integrate AI/ML outputs into operational workflows, enabling support to planning, integration, data operations, assessment, and operational execution. * Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to translate analytic outputs into actionable insights for decision-makers. * Develop and support AI-enabled dashboards, decision-support tools, and analytic platforms that provide real-time or near-real-time insights. * Support the development of reusable models and frameworks that can scale across multiple CCMDs and mission sets. * Ensure models are transparent, explainable, and aligned to mission requirements, including measurement of effectiveness and operational impact (ROI-informed outputs). Required Qualifications: * Must have an active Top-Secret security clearance and be SCI eligible. Note: US Citizenship is required to obtain a Top-Secret Clearance. * Bachelor's degree in data science, computer science, artificial intelligence, machine learning, mathematics, or related technical field with 8+ years of experience (advanced degree equivalency applies) * Demonstrated experience developing and deploying AI/ML models in operational or mission-focused environments * Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) * Experience applying advanced analytics, machine learning, and statistical modeling techniques to large and complex datasets * Experience developing and managing data pipelines, model pipelines, and cloud-based architectures (AWS, Azure, or equivalent) * Experience integrating multi-source data (structured, semi-structured, unstructured) into analytic models * Experience applying AI/ML to information environment, intelligence, cyber, or national security problem sets * Demonstrated ability to translate complex AI/ML outputs into clear, actionable insights for operational decision-makers * Experience supporting data-driven decision support, operational analysis, or mission-focused analytics environments Preferred Qualifications: * Advanced degree (MS or PhD) in AI, machine learning, data science, or related field * Experience developing AI-enabled automation frameworks or platforms supporting mission workflows * Experience applying natural language processing (NLP), social media analytics, or narrative analysis in OIE contexts * Experience implementing data standardization, ontology, or schema alignment frameworks for enterprise analytics * Experience supporting cross-CCMD or distributed data environments at scale * Experience integrating AI/ML solutions into operational systems (e.g., C2IE, Maven or similar platforms) * Experience supporting campaign assessment, MOP/MOE enablement, or ROI analysis through advanced analytics * Experience working in joint, interagency, or coalition operational environments * Demonstrated ability to develop reusable, scalable AI/ML solutions across multiple mission areas Compensation Details:
$120,000 - 170,000 The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits Overview: Our health and welfare benefits are designed to support you and your priorities. Offerings include: * Health, dental, and vision insurance * Paid time off and holidays * Retirement benefits (including 401(k) matching) * Educational reimbursement * Parental leave * Employee stock purchase plan * Tax-saving options * Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits. Original Posting:
06/26/2026 - Until Filled
Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters .