Top 9 Ai/ml engineer Jobs in Gainesville Fl

Technical Lead - Digital Twin Research and Aviation Modeling
Peraton —Florida
- $176,000 - $282,000 a year
- 7 years
- Master's degree
- Doctor of Philosophy
- Health savings account
- Paid holidays
Principal Platform Engineer
Feathr —Gainesville, FL
- $165,000 - $180,000 a year
- Full-time
- Remote
- 7 years
- System design
- SQL
- Paid holidays
- Health insurance
Quick Apply
Lecturer/Sr Lecturer/Master Lecturer
University of Florida —Gainesville, FL
- Engineering
- Math
- University
AI/ML Engineer
CGI Group, Inc. —United States
- $102,000 - $251,100 a year
- Azure
- Computer Science
- Office
- Paid parental leave
- Paid holidays
Intelligent Automation Engineer - AI/ML & RPA
CGI Group, Inc. —United States
- $110,600 - $160,400 a year
- Computer Science
- Writing skills
- Maintenance
- Paid parental leave
- Paid holidays
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Principal Technical Lead
Knipper HEALTH —United States
- $130,000 - $160,000 a year
- Full-time
- Computer science
- Computer Science
- HIPAA
- Paid parental leave
- Health insurance

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Technical Lead - Digital Twin Research and Aviation Modeling

Peraton -
Florida

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Job Details

$176,000 - $282,000 a year

Benefits

Health savings account
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Employee assistance program
Vision insurance
Life insurance

Qualifications

Systems integration
Data Integration (Data management)
Requirements design
Integration Architecture Design (Architecture design skills)
Data Architecture Design (Architecture design skills)
Requirements analysis
Enterprise Integration
Aviation
Project stakeholder communication
Stakeholder management

Full Job Description

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

About The Role

Peraton Labs is seeking a Technical Lead to directly support digital twin research and development efforts within the BNATCS CTO organization by helping shape, coordinate, and execute technical efforts related to aviation digital twins, NAS modeling and simulation, data integration, and future-state airspace modernization analysis. Within this role you will help ensure digital twin efforts are not just technically sophisticated, but also usable, explainable, operationally relevant, and aligned to the long-term modernization of the National Airspace System.

The ideal candidate will bring a strong combination of aviation domain knowledge, modeling and simulation experience, systems engineering judgment, and technical leadership. This person will help translate FAA modernization needs into executable digital twin concepts, simulation requirements, analytical products, and technical roadmaps that support BNATCS planning, validation, and decision-making.

This role is intended for a senior technical leader who can work with aviation SMEs, systems engineers, data scientists, AI/ML engineers, software teams, program leadership, and FAA stakeholders to ensure digital twin efforts are technically credible, operationally relevant, and aligned to FAA BNATCS mission objectives.

Key responsibilities may include:

Help lead technical planning and execution of digital twin research efforts supporting BNATCS CTO objectives
Support the development of digital twin concepts, architectures, use cases, and technical roadmaps for NAS modernization
Assist with adapting Peraton Labs’ agentic AI and digital twin capabilities to BNATCS program needs
Define modeling and simulation requirements based on FAA operational needs, system engineering objectives, safety considerations, and stakeholder priorities
Guide the design of digital twin capabilities representing NAS elements such as airspace operations, surveillance, communications, facilities, ground systems, procedures, and human-in-the-loop considerations
Establish model interoperability approaches, data exchange expectations, model fidelity guidance, and integration patterns across digital twin and simulation environments
Work with data, AI/ML, software, and systems engineering teams to identify and integrate required data sources, data dependencies, model inputs, outputs, assumptions, and validation methods
Evaluate how digital twin environments can support operational analysis, system validation, technology insertion, facility modernization, outage analysis, resilience planning, and future NAS concept evaluation
Identify technical risks, dependencies, integration challenges, sequencing concerns, and capability gaps associated with digital twin development
Translate complex simulation results, model outputs, and analytical findings into clear, actionable insights and products for technical and non-technical stakeholders
Evaluate emerging tools, technologies, vendor capabilities, open-source solutions, and Peraton Labs R&D efforts for potential application to digital twin research and development
Ensure digital twin efforts align with BNATCS program objectives, Model-Based Systems Engineering practices, CTO advanced analytics initiatives, and FAA stakeholder needs

Qualifications

Required Qualifications

Bachelor’s degree with 16+ years of experience, Master’s degree with 14+ years, or 10+ years with a PhD in Aerospace Engineering, Systems Engineering, Computer Science, Data Science, Operations Research, Electrical Engineering, or a related technical field
7+ years of relevant experience in aviation systems, aerospace systems, modeling and simulation, digital twins, systems engineering, advanced analytics, or complex technical integration
Demonstrated experience leading or contributing to modeling, simulation, digital twin, or system-of-systems analytical environments
Strong understanding of aviation operations, air traffic management, NAS systems, FAA operations, aerospace modernization, or related complex operational environments
Experience translating operational needs, stakeholder questions, or system constraints into technical requirements, simulation approaches, analytical methods, or research plans
Familiarity with model fidelity tradeoffs, simulation validation, data integration, technical architecture development, and model interoperability concepts
Ability to identify technical risks, integration dependencies, assumptions, limitations, and validation requirements for complex analytical or simulation-based efforts
Strong written and verbal communication skills, including the ability to brief senior technical, government, and industry stakeholders
Ability to operate effectively in ambiguous, fast-moving environments with evolving requirements, incomplete data, and complex stakeholder needs
US Citizenship with ability to obtain/maintain an FAA Public Trust suitability

Desired Qualifications

Direct experience supporting FAA, NAS modernization, NextGen, ERAM, STARS, TFDM, DataComm, SWIM, or related aviation modernization programs
Experience with digital twin architectures, high-fidelity simulation, distributed simulation frameworks, HLA/DIS, co-simulation, or federated model environments
Knowledge of Model-Based Systems Engineering (MBSE) principles, tools, and their relationship to modeling, simulation, and system validation
Familiarity with NAS data sources, aviation telemetry, surveillance systems, communications infrastructure, facility systems, operational performance data, safety data, or traffic flow data
Experience applying AI/ML, predictive analytics, anomaly detection, optimization, synthetic data, agentic AI, or decision intelligence techniques to aviation, transportation, defense, or infrastructure problems
Experience with real-time data ingestion, streaming architectures, data pipelines, data assimilation, or operational data integration
Background in applied R&D, research transition, prototype development, technical roadmap development, or government customer delivery
History of published research, patents, technical reports, or recognized expertise in aviation modeling, digital twins, air traffic operations, simulation, systems engineering, or advanced analytics
Existing relationships within the FAA, aviation research community, aerospace industry or government R&D ecosystems

Peraton Labs is an Equal Opportunity Employer. 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 protected characteristic. We are committed to creating a diverse and inclusive workplace where all team members feel valued and can contribute their best work.

Details

Target Salary Range: $176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Apply Now

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ai/ml engineer jobs in gainesville fl

Technical Lead - Digital Twin Research and Aviation Modeling

Principal Platform Engineer

Lecturer/Sr Lecturer/Master Lecturer

AI/ML Engineer

Intelligent Automation Engineer - AI/ML & RPA

Principal Technical Lead

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