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Computer Vision Jobs in Florida (NOW HIRING)

U.S. Department of Defense (DOD)

$76K/yr

Knowledge of computer engineering policies, theories, principles and concepts, and familiarity with other engineering disciplines. * Knowledge of automated data processing concepts, systems ...

US Department of the Air Force

$76K/yr

Knowledge of computer engineering policies, theories, principles and concepts, and familiarity with other engineering disciplines. * Knowledge of automated data processing concepts, systems ...

U.S. Department of Defense (DOD)

$76K/yr

Knowledge of computer engineering policies, theories, principles and concepts, and familiarity with other engineering disciplines. * Knowledge of automated data processing concepts, systems ...

US Department of the Air Force

$76K/yr

Knowledge of computer engineering policies, theories, principles and concepts, and familiarity with other engineering disciplines. * Knowledge of automated data processing concepts, systems ...

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All JobsComputer Vision JobsComputer Vision Jobs in Florida

Computer Vision information

See Florida salary details

$25K

$36.1K

$47.5K

How much do computer vision jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer vision in Florida is $36,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,400.00 and $41,500.00 per year, depending on experience, location, and employer.

What is a computer vision?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What does a computer vision professional do?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

What are the key skills and qualifications needed to thrive in computer vision?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

Is computer vision a good career?

Computer vision is a growing field within artificial intelligence that involves developing algorithms to interpret visual data. It offers opportunities in industries such as healthcare, automotive, and security, often requiring skills in programming, machine learning, and image processing. Job prospects are strong, with demand for specialists who can work with tools like OpenCV and deep learning frameworks.

What are computer vision jobs?

Computer vision jobs involve developing algorithms and systems that enable computers to interpret and analyze visual data such as images and videos. Roles often require skills in machine learning, programming languages like Python or C++, and familiarity with tools like OpenCV or deep learning frameworks. These jobs are common in industries like robotics, healthcare, automotive, and security, and may require a background in computer science or engineering.

What are the most commonly searched types of Computer Vision jobs in Florida?

The most popular types of Computer Vision jobs in Florida are:

What are popular job titles related to Computer Vision jobs in Florida?

For Computer Vision jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Computer Vision jobs in Florida look for?

The top searched job categories for Computer Vision jobs in Florida are:

What cities in Florida are hiring for Computer Vision jobs?

Cities in Florida with the most Computer Vision job openings:

Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,093 per year, or $17.4 per hour.

AI/ML Lead Data Engineer - Automation/Image Processing

JPMorgan Chase & Co.

Tampa, FL • On-site

$96K - $127K/yr

Full-time

Medical, Retirement

Re-posted 15 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description


Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorganChase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
  • Design, build, and maintain scalable, high-performance data pipelines and infrastructure to support ingestion, processing, and storage of large volumes of scanned document images across enterprise-wide workflows
  • Architect end-to-end data solutions on AWS cloud services to enable seamless flow of scanned images from source systems through OCR processing, model inference, and downstream data extraction and categorization pipelines
  • Develop robust image preprocessing and OCR integration pipelines that handle TIF/PNG format conversion, normalization, resolution enhancement, noise reduction, and batching to prepare scanned documents for downstream computer vision and OCR models
  • Build and optimize data pipelines that integrate OCR engine outputs, extracting structured text and metadata from scanned images and routing them into databases and analytics platforms for further processing
  • Design and manage data storage architectures and containerized deployments, using Oracle databases and AWS-native stores (S3, EFS) to efficiently catalog, index, and retrieve extracted text, classification labels, and metadata from processed document images
  • Drive the adoption of containerized deployment strategies using AWS EKS (Elastic Kubernetes Service) to deploy and scale image processing microservices, OCR engines, and data pipeline components with high availability and fault tolerance
  • Collaborate closely with data scientists and ML engineers to ensure training datasets for different models, and other computer vision models are properly curated, versioned, labeled, and accessible through well-structured data pipelines
  • Evaluate and integrate emerging data technologies and tools to continuously improve pipeline throughput, reduce processing latency for high-volume document scanning workloads, and optimize cost efficiency
  • Establish and enforce data quality, lineage, governance, and security frameworks to ensure traceability and integrity of extracted data from scanned documents throughout the entire processing lifecycle
  • Partner with security and compliance teams to ensure that scanned document data, extracted PII/PHI, and sensitive content are handled in accordance with regulatory requirements, encryption standards, and access controls
  • Lead and mentor a team of data engineers, establishing coding standards, peer review processes, CI/CD workflows, and best practices for building production-grade image and document processing pipelines

Required qualifications, capabilities, and skills
  • Formal training or certification on Data Engineering concepts and 5+ years applied experience
  • Strong proficiency in Java, Groovy, and Python for building data pipelines, image preprocessing workflows, automation scripts, and backend data services
  • Hands-on experience with image file handling, particularly TIF/PNG format processing, multi-page document splitting, format conversion, and integration with OCR and computer vision pipelines
  • Deep hands-on experience with AWS cloud services including S3 (for image storage), Lambda, Step Functions, and CloudWatch for building and monitoring scalable data workflows
  • Expertise in AWS EKS (Elastic Kubernetes Service) for deploying and managing containerized image processing, OCR, and data pipeline services using Docker and Kubernetes
  • Advanced knowledge of Oracle databases including PL/SQL, performance tuning, partitioning strategies, and data modeling for storing and querying large volumes of extracted document data and classification results
  • Familiarity with OCR technologies and the ability to build data pipelines that consume and structure OCR output for downstream analytics and model training
  • Understanding of data requirements for training deep learning models including dataset preparation, annotation management, and feature store integration
  • Experience with CI/CD pipelines (Jenkins) and infrastructure-as-code tools (Terraform, CloudFormation) for automated deployment and environment management
  • Strong understanding of data governance, data quality frameworks, metadata management, and data cataloging, particularly in the context of document-centric and image-heavy data ecosystems
  • Excellent leadership, communication, and stakeholder management skills with the ability to drive technical decisions across cross-functional teams

Preferred qualifications, capabilities, and skills
  • Domain expertise in the healthcare industry

About Us
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
About the Team
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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