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Mobile Machine Learning Jobs in Florida (NOW HIRING)

SoFi

Fraud Model Developer

Jacksonville, FL · On-site

We're a next-generation financial services company and national bank using innovative, mobile-first ... We are looking for a Senior Data Scientist and/or Machine Learning Model Developer to join our ...

Mad Mobile Inc

Director, Risk and Compliance

Tampa, FL · On-site

Mad Mobile is an AI-driven software development company headquartered in Tampa, FL, revolutionizing ... Collaborate with Data/Engineering to leverage analytics and machine learning for risk detection

Seven Seven Software

Core Java

Tampa, FL · On-site

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) * Hands-on experience ...

Aquent

Digital Personalization Manager

Orlando, FL · On-site +1

$78 - $81/hr

... mobile platforms. What You'll Do (Essential Responsibilities): * Strategy & Roadmap: Define and ... Familiarity with AI/Machine Learning applications in content delivery. #LI-MG1

USM

Data Scientist-----Need GC and USC

Orlando, FL

... e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority ... Uses descriptive and inferential statistics, data mining, predictive modeling and machine learning ...

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How much do mobile machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for mobile machine learning in Florida is $18.93, according to ZipRecruiter salary data. Most workers in this role earn between $10.77 and $15.10 per hour, depending on experience, location, and employer.

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 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 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 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
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Posted 20 days ago

Job description

Role Descriptions: ARGO Hands on Argo Data Resource Corp. experienceSeasoned developer with Teller Retail banking experience with Argo ADS software.Formal training or certification on software engineering concepts and (3) years applied experience3 years of hands-on experience developing in Argo Traditional Client for Teller platformCurrent knowledge of Argo version 6 development objects| including Enablers| WOGS| AOGS| host communications| Electronic Journal (EJ)| and TotalsHands-on practical experience in system design| application development| testing| and operational stabilityProficient in coding in one or more languagesExperience in developing| debugging| and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesOverall knowledge of the Software Development Life CycleSolid understanding of agile methodologies such as CICD| Application Resiliency| and SecurityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g.| cloud| artificial intelligence| machine learning| mobile| etc.) Preferred Qualifications| Capabilities| And SkillsC developmentJava developmentPowerShell scriptingAlogent Branch deposit engine knowledge
Essential Skills: ARGO Hands on Argo Data Resource Corp. experienceSeasoned developer with Teller Retail banking experience with Argo ADS software.Formal training or certification on software engineering concepts and (3) years applied experience3 years of hands-on experience developing in Argo Traditional Client for Teller platformCurrent knowledge of Argo version 6 development objects| including Enablers| WOGS| AOGS| host communications| Electronic Journal (EJ)| and TotalsHands-on practical experience in system design| application development| testing| and operational stabilityProficient in coding in one or more languagesExperience in developing| debugging| and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesOverall knowledge of the Software Development Life CycleSolid understanding of agile methodologies such as CICD| Application Resiliency| and SecurityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g.| cloud| artificial intelligence| machine learning| mobile| etc.) Preferred Qualifications| Capabilities| And SkillsC developmentJava developmentPowerShell scriptingAlogent Branch deposit engine knowledge
Desirable Skills:
Keyword:
Skills: Windows Powershell~Core Java~C# 5.0
Experience Required: 6-8, Project Code :

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