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Image Processing Jobs in Florida (NOW HIRING)

Advanced proficiency in Python and enterprise languages, with deep experience in PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Pillow for model development and image processing.

Advanced proficiency in Python and enterprise languages, with deep experience in PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Pillow for model development and image processing.

Advanced proficiency in Python and enterprise languages, with deep experience in PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Pillow for model development and image processing.

Advanced proficiency in Python and enterprise languages, with deep experience in PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Pillow for model development and image processing.

Utilize PACS and RIS for image processing and accurate documentation * Maintain clear and safe environment, which includes preparing room for each patient * Perform daily and monthly QA procedures on ...

... image processing, archiving and sending of images to PACS stations and perform these tasks accurately and free of error. Must be able to operate the CT scanner and other associated equipment to ...

... image processing, archiving and sending of images to PACS stations and perform these tasks accurately and free of error. Must be able to operate the CT scanner and other associated equipment to ...

Showing results 41-60

Image Processing information

See Florida salary details

$3

$46

$67

How much do image processing jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for image processing in Florida is $46.77, according to ZipRecruiter salary data. Most workers in this role earn between $38.80 and $49.95 per hour, depending on experience, location, and employer.

What is an image processing job?

An Image Processing job involves analyzing, enhancing, and manipulating digital images using algorithms and software. Professionals in this field work with techniques such as filtering, feature extraction, and pattern recognition to improve image quality or extract useful information. They often use programming languages like Python and libraries such as OpenCV or MATLAB to develop solutions for applications in medical imaging, computer vision, and automation.

What are the typical daily tasks of an image processing specialist?

An Image Processing specialist typically spends their day developing and optimizing algorithms for tasks such as image enhancement, feature extraction, segmentation, and object recognition. You may work closely with a multidisciplinary team that includes software engineers, data scientists, and domain experts to integrate your solutions into larger systems or products. Daily responsibilities often involve coding, testing, validating results, and documenting methodologies, as well as troubleshooting performance issues. Collaboration and frequent feedback sessions are common, as many projects are iterative and benefit from collective expertise. This role offers a dynamic and intellectually stimulating work environment with the potential for impactful innovation.

What are the key skills and qualifications needed to thrive in the image processing position, and why are they important?

To thrive in Image Processing, you need a solid background in computer vision, signal processing, mathematics, and often a relevant degree in computer science, engineering, or a related field. Proficiency with programming languages such as Python or MATLAB, experience with libraries like OpenCV, and familiarity with machine learning frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help set professionals apart. These competencies are crucial for developing, implementing, and refining algorithms that extract, analyze, and interpret information from visual data in various industries.

Is image processing difficult?

Image processing as a job involves understanding algorithms, programming skills, and familiarity with tools like MATLAB or OpenCV. The difficulty depends on the complexity of projects and the level of expertise required, but it generally requires technical knowledge and problem-solving skills.

What skills do you need for image processing?

Image processing jobs require skills in programming languages such as Python, C++, or MATLAB, along with knowledge of algorithms and mathematical concepts like linear algebra and signal processing. Familiarity with image editing tools, computer vision frameworks, and experience with machine learning can also be beneficial. Attention to detail and problem-solving abilities are essential for analyzing and improving image data effectively.

What are the most commonly searched types of Image Processing jobs in Florida?

The most popular types of Image Processing jobs in Florida are:

What are popular job titles related to Image Processing jobs in Florida?

For Image Processing jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Image Processing jobs in Florida look for?

The top searched job categories for Image Processing jobs in Florida are:

What cities in Florida are hiring for Image Processing jobs?

Cities in Florida with the most Image Processing job openings:

Infographic showing various Image Processing job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $97,276 per year, or $46.8 per hour.

Computer Vision Data Engineer

Tampa, FL

Accenture Federal Services
IT Services • 10K+ employees

$108K - $129K/yr

Full-time

Posted 21 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

We are seeking a highly skilled Computer Vision Data Engineer with hands-on experience building and maintaining computer vision data pipelines. The ideal candidate has strong ETL expertise, works comfortably with images, videos, and associated metadata, and understands how to design robust, scalable processing systems for highvolume media data flows.

Responsibilities

  • Design, build, and maintain endtoend data pipelines for computer vision workloads, including ingestion, transformation, and delivery of image, video, and metadata assets.
  • Implement and manage automated workflow orchestration using NiFi and Prefect.
  • Develop highperformance media processing services and tools using Java, FFmpeg, and OpenCV.
  • Containerize and deploy data services using Docker.
  • Collaborate closely with computer vision engineers, MLOps, and platform teams to ensure data readiness and pipeline reliability.
  • Optimize processing steps for speed, accuracy, and cost efficiency.
  • Establish monitoring, logging, and testing strategies to ensure pipeline stability and data quality.

Qualifications

  • 5 years of experience with any of the following:
    • Proven experience building and maintaining computer vision or mediacentric data pipelines.
    • Strong ETL background involving complex transformations, metadata generation, and media normalization.
    • Handson experience with any of the following: - NiFi (data flow management) - Prefect (workflow orchestration) - Docker (containerization) - FFmpeg (video and audio processing) - OpenCV (image processing and analysis)
    • Experience working with images, videos, and related metadata structures.
    • Familiarity with distributed systems and scalable data processing patterns.

Preferred Qualifications

  • Experience with Java (core development)
  • Experience with KLV metadata extraction (e.g., 0903, 0601).
  • Familiarity with computer vision model deployment, training workflows, or deep learning frameworks.
  • Exposure to streaming media systems or realtime video processing.
  • Knowledge of cloud environments and orchestration platforms (AWS, Azure, GCP, Kubernetes).
  • Detailoriented, curious, and comfortable working in fastmoving technical environments.
  • Strong communicator with the ability to partner across engineering, data science, and product teams.
  • Someone who enjoys building reliable, highimpact systems that enable computer vision capabilities at scale.

Clearance

  • An active TS/SCI is required with ability to obtain polygraph

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