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Mobile Machine Learning Jobs in Florida (NOW HIRING)

City of Palm Coast

GIS Administrator

Palm Coast, FL · On-site

$73K - $87K/yr

Oversees the development of end-user delivery solutions, including web-based dashboards, mobile ... Conducts ongoing R&D of emerging geospatial technologies, including AI/Machine Learning ...

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Mobile Machine Learning information

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
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.

Sr. Lead Software Engineer-Full Stack/Java/AWS

JP Morgan Chase

Tampa, FL

Full-time

Medical, Retirement

Posted 15 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Sr. Lead Software Engineer-Full Stack/Java/AWS at JPMorgan Chase within the Corporate and Investment Banking  Payments Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Own the technical strategy and architecture for mission-critical applications, aligning solutions with business goals, industry best practices, and roadmap decisions while representing engineering in strategic discussions  
  • Leads and mentors a team of software engineers, providing guidance, support, and professional development opportunities  
  • Drives the design and implementation of high-performance backend services using Java and cloud-native technologies  
  • Sets and enforces standards for API design and development (REST/gRPC), including best practices for versioning, documentation, and error handling to ensure robust, secure, and scalable interfaces  
  • Champions highly resilient, share-nothing, multi-region architectures to achieve fault tolerance, high availability, and disaster recovery  
  • Guides the integration and management of service registries for dynamic service discovery and orchestration in microservices environments  
  • Promotes the creation of custom frameworks and reusable components to accelerate development and maintain consistency  
  • Fosters and manages Agile, self-managing team practices and project delivery, driving continuous improvement in processes, tools, and standards while ensuring timelines, quality, stakeholder satisfaction, and proactive mitigation of technical risks
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
     

Required qualifications, capabilities, and skills

  • Formal training or certification on Software Engineering concepts and 5+ years applied experience 
  • Extensive experience in Java and object-oriented programming.
  • Proven technical leadership delivering solutions with Java, React, Spring Boot, Kafka, and Oracle Database.
  • Strong experience building cloud-native applications and leading Kubernetes-based engineering efforts.
  • Hands-on expertise with cloud platforms (AWS, Azure, GCP), including practical cloud-native design and implementation.
  • Strong background in RESTful and gRPC API design, development, and implementation.
  • Demonstrated experience with API best practices and service registry concepts in distributed systems.
  • Demonstrated proficiency across modern software engineering disciplines and technical processes (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
  • In-depth financial services domain knowledge, including experience in Banking and/or Payments environments and related IT systems, with a track record of designing highly resilient, share-nothing, multi-region architectures and applying advanced agile/DevOps practices (e.g., CI/CD, automation/continuous delivery, application resiliency, security).
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. 

Preferred qualifications, capabilities, and skills

  • Proven experience in senior leadership or engineering management roles
  • UI development experience with modern frameworks such as React, Angular, or similar
  • Experience within a Banking and/or Payments environment
  • Experience working with Cloud Foundry, Jenkins, and/or Docker.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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