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Mobile Machine Learning Jobs in Florida (NOW HIRING)

Eightpoint Interactive, Inc.

AI Engineer

Fort Myers, FL · On-site

$110 - $160/hr

... machine learning technologies to create intelligent, personalized user experiences. You'll collaborate closely with Product Managers, Mobile Engineers, Designers, and Data teams. This will lead to ...

QDStaff

Senior Data Scientist Gaming

Boca Raton, FL · On-site

The role involves delivering insights from mobile casino game and audience data, leading research ... with machine learning and AI • Tensor Flow, Azure Machine Learning Studio or similar tools ...

QDStaff

Data Scientist Gaming

Boca Raton, FL · On-site

The role involves delivering insights from mobile casino game and audience data, utilizing ... with machine learning and AI • Tensor Flow, Azure Machine Learning Studio or similar tools ...

Xlysi LLC

Tandem/Pathway Developer | W2 Only.

Tampa, FL · On-site

CI/CD Application Resiliency Scrum JIRA Bitbucket Knowledge of emerging software technologies and technical processes, such as Cloud, Artificial Intelligence, Machine Learning, Mobile, etc. Knowledge ...

New

DigitalCM LLC

iOS Developer

Tampa, FL · On-site

$46.75 - $64.50/hr

AI integration, machine learning, or computer vision. * GIS, LiDAR, or spatial computing is a plus. * Android or cross-platform mobile development. * HTML5, CSS3, and JavaScript. Why Join DigitalCM?

DigitalCM LLC

iOS Developer

Tampa, FL · On-site

$46.75 - $64.50/hr

AI integration, machine learning, or computer vision. * GIS, LiDAR, or spatial computing is a plus. * Android or cross-platform mobile development. * HTML5, CSS3, and JavaScript. Why Join DigitalCM?

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Florida

Mobile Machine Learning information

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What are some common challenges faced by mobile machine learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

What are the key skills and qualifications needed to thrive as a mobile machine learning engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are the most commonly searched types of Machine Learning jobs in Florida?

The most popular types of Machine Learning jobs in Florida are:

What are popular job titles related to Mobile Machine Learning jobs in Florida?

For Mobile Machine Learning jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Mobile Machine Learning jobs in Florida look for?

The top searched job categories for Mobile Machine Learning jobs in Florida are:

What cities in Florida are hiring for Mobile Machine Learning jobs?

Cities in Florida with the most Mobile Machine Learning job openings:

Mobile Machine Learning jobs near you
Infographic showing various Mobile Machine Learning job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Consultant | Reactive Programming | react JS

Spruce Infotech

Boca Raton, FL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Summary
We are looking for a highly experienced React Native Lead Developer / Mobile Architect to lead the design, development, and delivery of enterprise-grade cross-platform mobile applications. The ideal candidate will bring strong expertise in React Native, TypeScript, ReactJS, Node.js, iOS/Android ecosystems, cloud platforms, authentication/SSO, OTA updates, offline-first capabilities, and performance optimization. This role requires hands-on technical leadership, solution ownership, mentoring, code reviews, and delivery of scalable mobile/web applications in Agile environments.
Key Responsibilities
• Lead end-to-end development of scalable, secure, and high-performance React Native mobile applications for iOS and Android platforms.
• Design and implement modern mobile architectures including offline support, caching, state management, deep linking, localization, accessibility, and native module integrations.
• Build and support enterprise authentication flows using Okta, OIDC, MFA, SSO, and Azure AD.
• Configure and manage OTA update mechanisms using tools such as Expo, CodePush, or equivalent mobile release approaches.
• Develop reusable components, micro frontends, REST/GraphQL integrations, and responsive web/mobile features using ReactJS, TypeScript, Node.js, Redux/MobX, and modern JavaScript frameworks.
• Integrate cloud and analytics capabilities across AWS, Azure, GCP, Firebase, Firestore, New Relic, and CI/CD pipelines.
• Drive technical design, estimation, code reviews, unit testing, performance tuning, production support, and engineering best practices.
• Mentor developers, collaborate with cross-functional teams, and actively participate in Agile/Scrum ceremonies.
• Support AI-enabled application features such as document processing, text extraction, LLM integrations, and machine-learning driven mobile experiences.
Required Skills & Experience
• 12+ years of overall software development experience, with strong hands-on expertise in mobile and full-stack application development.
• 6+ years of React Native experience with proven delivery of production-grade iOS/Android apps.
• Strong proficiency in React Native, ReactJS, TypeScript, JavaScript, Node.js, Redux/Redux Toolkit/Redux Saga/MobX, REST APIs, GraphQL, Jest, Git, and CI/CD.
• Experience with Expo, OTA updates, native iOS/Android modules, mobile debugging, app performance optimization, and release management.
• Strong understanding of authentication, authorization, MFA, SSO, Okta/OIDC, Azure AD, and secure enterprise integrations.
• Hands-on cloud exposure across AWS, Microsoft Azure, GCP, Firebase, Firestore, PostgreSQL, MongoDB, or MySQL.
• Experience implementing offline-first mobile features, caching, analytics, accessibility, localization, and mobile observability.
• Ability to lead teams, mentor engineers, conduct code reviews, and deliver solutions in Agile/Scrum environments.
• Exposure to AI/ML, GenAI, LLMs, prompt engineering, document extraction, or computer vision use cases will be an added advantage.
Preferred Qualifications
• Bachelor's or master's degree in computer science, Electronics, Engineering, or related discipline.
• Prior experience delivering mobile/web applications for enterprise, retail, healthcare, finance, or large-scale digital platforms.
• Strong communication, stakeholder management, problem-solving, and ownership mindset.
Role Fitment
This role is best suited for a senior hands-on mobile technology leader who can own architecture, guide delivery teams, and build secure, scalable, enterprise-grade React Native applications across mobile and web platforms.
Project Code: Supp code for DX Subcon STP Onsite

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