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Ml Infrastructure Engineer Jobs in Florida (NOW HIRING)

Catalyst Labs

ML Engineer

Miami, FL · On-site

... the ML infrastructure and processes for scalability and performance. Qualifications : Required ... ML engineering. • Strong programming skills in Python (TypeScript experience is a plus). • ...

Catalyst Labs

ML Engineer

Tampa, FL · On-site

... the ML infrastructure and processes for scalability and performance. Qualifications : Required ... ML engineering. • Strong programming skills in Python (TypeScript experience is a plus). • ...

Catalyst Labs

ML Engineer

Jacksonville, FL · On-site

... the ML infrastructure and processes for scalability and performance. Qualifications : Required ... ML engineering. • Strong programming skills in Python (TypeScript experience is a plus). • ...

Prescient Edge

ML Administrator

Doral, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Shall implement and monitor ML infrastructure, optimizing compute resource allocation across cloud ... D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business ...

Raft

ML Ops Engineer

Tampa, FL · On-site

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.

DPR Construction

MLOps Engineer

Orlando, FL · On-site

... ML workloads, partnering with Infrastructure Engineering for cluster provisioning and governance • Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows • ...

IntelePeer

Senior ML Engineer

Dania Beach, FL

$102K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

IntelePeer is building AI-native communications products and we need an ML engineer who gets their ... infrastructure for RAG pipelines. * Understanding of Model Context Protocol (MCP) and how to expose ...

540

Senior Software Engineer (AI/ML)

Satellite Beach, FL

$113K - $149K/yr

The system leverages cloud-native infrastructure, while incorporating AI/ML capabilities to enhance signal analysis, anomaly detection, and data-driven insights. Engineers on this team build and ...

Cliftonlarsonallen

Lead ML Ops Engineer

Orlando, FL · On-site

$95K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday ... Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.

Cliftonlarsonallen

Lead ML Ops Engineer

Naples, FL · On-site

$96K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday ... Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.

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All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in Florida

Ml Infrastructure Engineer information

See Florida salary details

$34.7K

$95K

$136K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ml infrastructure engineer in Florida is $94,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $105,400.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Florida?

For Ml Infrastructure Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Ml Infrastructure Engineer jobs in Florida look for?

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What cities in Florida are hiring for Ml Infrastructure Engineer jobs?

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Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in Florida as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $94,956 per year, or $45.7 per hour.

ML Engineer

Catalyst Labs

Miami, FL • On-site

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to drive innovation in AI applications.
Responsibilities:
• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
• Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
• Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
• Build agents capable of operating natively on real-world audio inputs.
• Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
• Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
• Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
• Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python (TypeScript experience is a plus).
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure (preferably AWS).
• Strong understanding of data pipeline design, real-time inference, and model monitoring.
• Excellent communication skills with the ability to engage directly with customers and stakeholders.
• Proven experience building and deploying ML models into production environments.
• Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
• Experience with audio-focused ML projects or similar domains involving unstructured data.
• Proficiency in building scalable data pipelines for model training and evaluation.
• Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
Preferred:
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

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