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Computer Vision Scientist Jobs in Florida (NOW HIRING)

JPMorgan Chase & Co.

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 ...

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 ...

Next Frontier Capital

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 ...

JPMorgan Chase & Co.

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 ...

JPMorgan Chase & Co

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 · 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 ...

SynergisticIT

Junior Data Scientist

Jacksonville, FL · On-site

Recent Computer science/Engineering/Mathematics/Statistics or Science graduates looking to make ... Knowledge of Statistics, Tableau, Powerbi, Snowflake, Databricks, Python, Computer Vision, data ...

SynergisticIT

Junior Data Scientist

Jacksonville, FL · On-site

Recent Computer science/Engineering/Mathematics/Statistics or Science graduates looking to make ... Knowledge of Statistics, Tableau, Powerbi, Snowflake, Databricks, Python, Computer Vision, data ...

1872 Consulting

Data Scientist (FL)

Tampa, FL · On-site

As a Data Scientist at Striveworks, you'll design and lead development cycles for a vertically ... computer vision, and natural language processing. Responsibilities : • Design and lead ...

kgs

Data Scientist

Cape Canaveral, FL · On-site

Computer vision * Natural language processing * Cloud computing platforms (AWS, Azure, GCP) * Big ... Scientific computing * Geospatial data formats and standards * Publications in peer-reviewed ...

kgs

Data Scientist

Cape Canaveral, FL · On-site

Computer vision * Natural language processing * Cloud computing platforms (AWS, Azure, GCP) * Big ... Scientific computing * Geospatial data formats and standards * Publications in peer-reviewed ...

goTenna Inc

Network Scientist

Panama City, FL · On-site

Advanced degree in Computer Science, Computer Engineering, or a related field and at least one (1) ... Medical, Dental, Vision and life insurance * Pre-tax benefits * Short- and Long-term disability ...

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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 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, 77% Full Time, 16% Part Time, 5% Contract, and 1% Nights. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $83,206 per year, or $40 per hour.

Junior/Middle Computer Vision Engineer ID72410

Tallahassee, FL • On-site, Remote

AgileEngine
Software Development • 201 - 500 employees
Learn more about AgileEngineexternal

Full-time

Posted 22 days ago

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 Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO
- Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
- Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
- Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
- Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
- Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.

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;
- 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
- Degree in Computer Science, Data Science, Engineering, 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);
- Foundational coding skills in Python;
- Foundational understanding of machine learning concepts and workflows;
- Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
- Basic familiarity with cloud environments and compute resources;
- A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
- Excellent attention to detail, specifically regarding data quality and documentation;
- 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.