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Computer Vision Scientist Jobs in Florida (NOW HIRING)

AgileEngine

Senior Computer Vision Engineer ID72408

Miami, FL · On-site +1

$99K - $137K/yr

ABOUT THE ROLE We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases -- building and deploying ...

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Computer Vision Scientist information

See Florida salary details

$37.7K

$83.2K

$102.8K

How much do computer vision scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for computer vision scientist in Florida is $83,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $102,400.00 per year, depending on experience, location, and employer.

What is a computer vision scientist?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.

What are the key skills and qualifications needed to thrive as a computer vision scientist?

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

What are some common challenges faced by computer vision scientists when deploying models to production environments?

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

What is the difference between Computer Vision Scientist vs Machine Learning Engineer?

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

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

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

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

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

Computer Vision Scientist jobs near you
Infographic showing various Computer Vision Scientist job openings in Florida as of September 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $83,206 per year, or $40 per hour.

Computer Vision Data Engineer

Tampa, FL

Accenture Federal Services
IT Services • 10K+ employees
Learn more about Accenture Federal Servicesexternal

$108K - $129K/yr

Full-time

Posted 18 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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