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Artificial Intelligence Machine Learning Engineer Jobs in Brandon, FL

OneBlood

AI & Machine Lrng Engr

Saint Petersburg, FL · On-site

... and delivery of Artificial Intelligence (AI) and Machine Learning (ML) projects across the ... Five (5) or more years of experience in data engineering, data science, or a related role, with ...

Deloitte

Cyber Manager - AI SOC

Tampa, FL · On-site

$104K - $141K/yr

Serving as an embedded engineering lead with client teams to translate operational workflows and ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Jobtailor

AI/ML Engineer, Precision Oncology

Tampa, FL · On-site

$150 - $200/hr

* Design, develop, deploy, and maintain scalable AI and machine learning systems for precision ... Data Science, Artificial Intelligence, Biomedical Engineering, Informatics, or a related ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Brandon, FL

Artificial Intelligence Machine Learning Engineer information

See Brandon, FL salary details

$27.4K

$111.9K

$168.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for artificial intelligence machine learning engineer in Brandon, FL is $111,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $134,700.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Brandon, FL?

For Artificial Intelligence Machine Learning Engineer jobs in Brandon, FL, the most frequently searched job titles are:

What cities near Brandon, FL are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Brandon, FL with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Brandon, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $111,891 per year, or $53.8 per hour.

Computing Engineer/Software Developer -AI/ML, GUI Development, Custom Cobot Control

Pinellas Park, FL • On-site

Custom Manufacturing and Engineering
Manufacturing • 11 - 50 employees
Learn more about Custom Manufacturing and Engineeringexternal

$68K - $78K/yr

Full-time

Posted 5 days ago

Job description

Computing Engineer/Software Developer –AI/ML, GUI Development, Custom Cobot Control - Pinellas Park, FL, USAThe OpportunityCustom Manufacturing & Engineering, Inc. (CME) is looking for a Software Engineer to develop custom collaborative robot (cobot) control integrations, artificial intelligence/machine learning (AI/ML) applications, and related GUIs for advanced manufacturing and inspection environments. You'll work with cobots (UR eSeries and others), simulation platforms (NVIDIA Isaac Sim, Gazebo/ROS2), and cutting-edge AI/ML tools to create scalable solutions that improve manufacturing automation and product quality.What You'll DoInternally develop and/or support iterative enhancements to new in-house software applications/tools for business and technical operations.Full-stack development duties for an AI and machine learning role, deploying, scaling, and integrating machine learning models into user-facing applications.Develop and deploy ML models (e.g., LLMs, CNNs, GANs, ResNets) for deep learning in support of computer vision, inspection data, and ERP/operations use cases and improvements; or for engineering development/R&D in field of robotics and unmanned systems/drones.System Integration: Design, develop, and maintain robust API interfaces connecting internal AI/ML platforms with external enterprise software (e.g., ERP systems and security platforms like Microsoft Defender for Endpoint API, CrowdStrike Falcon API, or other API developer needs/opportunities).Data Pipeline Automation: Build scalable pipelines to ingest, transform, and sync data between ML models and third-party enterprise APIs.Design and implement cobot applications, multi-cobot workstations, and simulation environments.Build scalable GUIs and reusable software components for data pipelines and manufacturing dashboards.Analyze and optimize code for performance, reliability, and maintainability.Collaborate across engineering, manufacturing, and management teams to deliver end-to-end solutions.Support or lead small team technical proposals and provide guidance to peers on advanced automation and ML projects.What You BringEducation: Bachelor's in Computer Science, Computer/Software Engineering, Data Science, or related field.Experience: 1–4 years programming in environments such as the following:Core Programming Languages: Python (Advanced), C++, R, Java.ML/AI Frameworks & Libraries: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers.Data Processing & Databases: Pandas, NumPy, Apache Spark, SQL, PostgreSQL.MLOps & Deployment: Docker, Kubernetes, MLflow, AWS (SageMaker), GCP (Vertex AI).Version Control & Collaboration: Git, GitHub, GitLab, Jira.Strong background in scalable software design, API development, and testing practices.Familiarity with data science.Bonus: Experience with recommendation systems, pattern recognition, or large-scale software architectures.Why CME?Work on mission-critical projects across defense, aerospace, industrial, and energy markets.Join a collaborative, fast-moving engineering team where your impact is visible.Enjoy a 4-day work week (most weeks) and a culture guided by CME's 5 Core Values: Resolves Problems, Professionalism, Challenges Themselves, Delivers, and Serves the Customer – Protects CME.Eligibility NoticeThis position requires access to technology subject to ITAR/EAR. Candidates must meet "U.S. Person" requirements.About CMECustom Manufacturing & Engineering, Inc. (CME®) is a 30-year-old award-winning Tampa Bay small business that designs and manufactures custom-engineered and build-to-print/spec products and systems. Our products are used by the U.S. military and industries worldwide. CME also supports STEM education and sustainability initiatives.Equal Opportunity EmploymentCME is an Equal Opportunity Employer. We consider all applicants without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, marital status, veteran status, citizenship, or any other protected class under federal or Florida law.
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