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Computer Vision Scientist Jobs in Florida (NOW HIRING)

AgileEngine

Senior Computer Vision Engineer ID72408

Tampa, FL · On-site

$98K - $135K/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 ...

New

AgileEngine

Senior Computer Vision Engineer ID72408

Miami, FL · On-site

$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 ...

New

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

As Data Scientist Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... computer vision, NLP, and multimodal approaches. * Build and fine‑tune multimodal document ...

JP Morgan Chase

Data Scientist Lead

Tampa, FL · On-site

As Data Scientist Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... computer vision, NLP, and multimodal approaches. * Build and fine-tune multimodal document ...

J.P. Morgan

Data Scientist Lead

Tampa, FL

As Data Scientist Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... computer vision, NLP, and multimodal approaches. * Build and fine-tune multimodal document ...

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All JobsComputer Vision Scientist JobsComputer Vision Scientist Jobs in Florida

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 Aug 23, 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 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 $83,206 per year, or $40 per hour.

Senior Computer Vision Engineer ID72408

AgileEngine

Tampa, FL • On-site

$98K - $135K/yr

Full-time

Posted 3 days ago

New

Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
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 solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.
WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints-such as lighting, sensor limitations, and edge device compute power-to ensure optimal data quality and robust model performance in production.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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