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Mobile Machine Learning Jobs in Florida (NOW HIRING)

University of Miami

Post Doctoral Associate

Coral Gables, FL

$46K - $63K/yr

... machine learning. * Design and conduct experimental studies involving robotic platforms such as dual-arm manipulators, mobile robots, and wearable/exoskeleton robotic systems. * Present research at ...

University of Miami

Post Doctoral Associate

Coral Gables, FL

$46K - $63K/yr

... machine learning. * Design and conduct experimental studies involving robotic platforms such as dual-arm manipulators, mobile robots, and wearable/exoskeleton robotic systems. * Present research at ...

KeyMe

Mobile Operations Technician (Car Keys)

Miami, FL · On-site

$40K - $60K/yr

Van & Equipment Maintenance: Assist with daily van setup and maintain tools, machines, and ... Comfortable working with your hands, using tablets/mobile apps, and learning new technical skills.

Adidev Technologies Inc

Civil Engineer

Miami Beach, FL · Hybrid

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

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Mobile Machine Learning information

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How much do mobile machine learning jobs pay per hour?

As of Jun 23, 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 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 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 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
Senior Software Engineer

Senior Software Engineer

Hotwire Communications

Fort Lauderdale, FL

$116K - $153K/yr

Full-time

Posted 18 days ago

Hotwire Communications rating

8.2

Company rating: 8.2 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

15th of 79 rated telecommunications companies

Job description

The Senior Software Engineer is responsible for designing, building, and scaling enterprise-grade applications across web, API, cloud, and AI platforms. This role combines full-stack development expertise with innovation in AI-driven systems, automation, and real-time digital experiences. The Senior Software Engineer collaborates with cross-functional teams, mentor developers, and drives excellence in modern software architecture.

Duties / Responsibilities:

  • Architect, design, and implement scalable REST APIs and event-driven microservices.
  • Lead end-to-end development of web and mobile applications using modern frontend and backend frameworks.
  • Build and integrate AI-powered applications, intelligent bots, and automation workflows.
  • Design, deploy, and maintain cloud-native applications and distributed systems on AWS.
  • Maintain CI/CD pipelines, testing frameworks, and deployment processes with Docker and Kubernetes.
  • Monitor systems to ensure high performance, reliability, and security.
  • Mentor junior developers, review code, and establish engineering best practices.
  • Act as a technical consultant, bridging business needs with scalable technical solutions.

Minimum Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
  • 6+ years of professional experience in software engineering, with proven enterprise-level system delivery.
  • Demonstrated ability to design, implement, and scale secure, cloud-native applications.
  • Expertise in building AI-driven solutions, automation workflows, or real-time intelligent systems.
  • Strong foundation in system architecture, performance optimization, and secure coding practices.

Languages & Frameworks

  • Java, Node.js, TypeScript, JavaScript, Go, Python, PHP 8 (Laravel), Spring Boot, Angular, React, Next.js
  • Databases & Messaging
  • Oracle, PostgreSQL, MySQL, DynamoDB, Snowflake, ElasticSearch, Redis
  • Kafka, ksqlDB, KStreams, Amazon MSK

Cloud & DevOps

  • AWS (Lambda, S3, EC2, MSK, Kinesis, CloudWatch, SNS, SQS)
  • Docker, Kubernetes, Jenkins, GitHub/GitLab CI/CD

AI & Machine Learning

  • Generative AI, Prompt Engineering, RAG systems, Document Intelligence
  • HuggingFace API, Voice AI, Conversational AI
  • MCP servers for enterprise integration

Collaboration Tools

  • GitHub, GitLab, Bitbucket, Swagger, Postman, JIRA, Confluence
  • Preferred Qualifications
  • Experience with mobile app development (iOS/Android, React Native, or Flutter).
  • Knowledge of observability frameworks and distributed tracing.
  • Contributions to open-source AI or cloud-native projects.
  • Passion for experimenting with emerging AI/ML technologies.

Benefits:
We truly appreciate and value all our employees and show our appreciation by offering a wide range of benefits, including:

  • Comprehensive Healthcare/Dental/Vision Plans
  • 401K Retirement Plan with Company Match
  • Paid Vacation, Sick Time, and Additional Holidays (including your Birthday!)
  • Paid Volunteer Time
  • Paid Parental Leave
  • Hotwire Service Discounts – for employees who live on a property serviced by Hotwire. Discounted service offerings are provided for high-speed internet, video service, phone, and security service
  • Employee Referral Bonuses
  • Exclusive Entertainment Discounts/Perks

Hotwire provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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