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Machine Learning Operations Jobs in Florida (NOW HIRING)

540

Senior Software Engineer (AI/ML)

Satellite Beach, FL

$113K - $149K/yr

Collaborate with a cross-functional team of architects, engineers, and scientists to design and deploy Machine Learning Operations (MLOps) at scale * Integrate AI/ML capabilities into production ...

OneBlood

AI & Machine Lrng Engr

Saint Petersburg, FL · On-site

... optimize operations. Responsibilities The list of essential functions, as outlined herein, is ... Strong working knowledge of machine learning methodologies, including supervised learning (e.g ...

NLP Logix

Client Operations Intern

Jacksonville, FL · On-site

$20/hr

Client Operations Intern - Fall 2026 Internship Dates: September 8, 2026 - December 11, 2026 ... You will gain hands-on experience supporting real-world artificial intelligence, machine learning ...

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Machine Learning Operations information

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks above average compared to other tech roles.
What cities in Florida are hiring for Machine Learning Operations jobs? Cities in Florida with the most Machine Learning Operations job openings:
Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in Florida as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Machine Learning (ML) Administrator - Sr

Nalley Consulting

Miami, FL • On-site

$82K - $111K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Join the Nalley Consulting team at Southcom HQ.
Position: Machine Learning (ML) Administrator
LCAT: Senior
Location: SOUTHCOM HQ, Doral, FL / Off-site
Office: U.S. SOUTHERN COMMAND J2
Required clearance: TS/SCI
Required education: Master’s degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field; or a minimum of 11+ years of relevant experience.
Description:
  • Manage machine learning model versioning, lineage tracking, and compliance with governance policies, ensuring reproducibility and secure deployment.
  • Implement and monitor ML infrastructure, optimizing compute resource allocation across cloud and on-premises environments.
  • Support the validation of AI/ML pipelines, ensuring models remain accurate, explainable, and aligned with operational objectives.
  • Submit the ML Model Governance & Deployment Report, summarizing model lifecycle management, performance tracking, and security compliance.
Required Experience: 
  • 11+ years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.
  • Strong background in databricks platform administration, including workspace configuration, Unity Catalog, cluster performance tuning, and cloud integration.
  • Strong background in data pipeline development (ETL/ELT), Delta Lake optimization, and AI/ML workflow integration.
  • Strong background in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines for automated deployment and governance.
  • Strong background in Cloud security, role-based access control (RBAC), and compliance with DoD data policies across AWS, Azure, and GCP.
  • Proposed personnel possess the knowledge and capability to support Databricks platform administration and enterprise data architecture for DoD data-driven projects.
Other requirements: 
  • Skilled in Databricks platform administration, including workspace management, cluster optimization, and Unity Catalog integration for secure data governance.
  • Proficient in ETL pipeline development, Delta Lake architecture, and data lakehouse optimization for DoD analytics and mission-critical data workflows.
  • Experienced in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines to streamline Databricks development and deployment.
  • Knowledgeable in identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP.
  • Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.

 

ABOUT NALLEY CONSULTING

Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states.

Nalley Consulting fringe benefits include:

  • Excellent medical, dental, and vision benefits
  • PTO
  • 11 paid federal holidays
  • Tuition assistance
  • Paid military-reserve leave
  • Paid parental leave for birth or adoption
  • 401k matching up to 5 percent of the base salary
  • Flex time
  • Company-paid short-term disability, long-term disability, and life insurance.

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