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Machine Intelligence Jobs in Florida (NOW HIRING)

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Machine Intelligence information

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$17.1K

$85.3K

$139.8K

How much do machine intelligence jobs pay per year?

As of Jun 1, 2026, the average yearly pay for machine intelligence in Florida is $85,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,423.00 and $120,684.00 per year, depending on experience, location, and employer.

What is the difference between Machine Intelligence vs Data Scientist?

AspectMachine IntelligenceData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in machine learning or AIDegrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, AI startups; focus on developing algorithms and modelsBusiness environments, analytics firms; focus on data analysis, insights, and modeling
Employer & Industry UsageTech companies, AI research institutions, roboticsFinance, healthcare, marketing, tech industries

Machine Intelligence involves developing algorithms and systems that enable machines to perform tasks that typically require human intelligence. Data Scientists analyze and interpret complex data to inform decision-making. While both roles require knowledge of machine learning, Machine Intelligence focuses on creating intelligent systems, whereas Data Scientists focus on extracting insights from data.

What cities in Florida are hiring for Machine Intelligence jobs? Cities in Florida with the most Machine Intelligence job openings:
Machine Intelligence jobs near you
Infographic showing various Machine Intelligence job openings in Florida as of May 2026, with employment types broken down into 85% Full Time, 11% Part Time, 2% Contract, and 2% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $85,251 per year, or $41 per hour.

Artificial Intelligence (AI) Engineer III (2316)

Morson Talent

Melbourne, FL • Hybrid

$55 - $62/hr

Other

Posted 27 days ago

Job description

Job Description Title: Artificial Intelligence (AI) Engineer III (2316) Location: Melbourne, Florida Openings: 1 Work Model: Hybrid, 2 - 3 days in office Job Type: Contract Duration: 1 Year Rate: $61/hour (W2) + Benefits Hours: 40 hours/week, 8 - 5 Project: Technology Division Position Summary: An AI (Artificial Intelligence) Engineer develops and trains AI models to automate processes and solve complex problems. They design and implement AI systems, ensuring they function effectively and align with business objectives. Responsibilities: Evaluate machine learning processes and select appropriate models.

Collect and analyze large datasets to train AI models. Develop and deploy AI algorithms and systems. Collaborate with cross functional teams to establish goals for AI processes.

Test and validate AI models to ensure accuracy and effectiveness. Manage data and project infrastructure. Stay updated on the latest AI developments and technologies.

Strong Large Language Model (LLM) Expertise Handson experience finetuning, adapting, and deploying LLMs, including prompt engineering, embeddings, and context management. LLM Application & System Architecture Proven ability to design and implement productiongrade LLM solutions such as RAG pipelines, agents, and tool/functioncalling systems. Production MLOps & Model Lifecycle Management Experience owning the endtoend ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization.

Advanced Python & Software Engineering Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems. CloudBased Scalable ML Infrastructure Handson experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPUbased ML workloads. Qualifications: Masters degree in Computer Science, Engineering, or a related field.

Proven experience as an AI Engineer or in a similar role. Strong programming skills in languages such as Python, R, or Java. Experience with machine learning frameworks and libraries.

Excellent analytical and problem-solving abilities. Effective communication and collaboration skills.

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