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Ml Infrastructure Engineer Jobs in Florida (NOW HIRING)

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). • ...

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). • ...

Deloitte

Azure/Databricks Infrastructure Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks ...

Deloitte

Azure/Databricks Infrastructure Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks ...

Prescient Edge

ML Administrator

Doral, FL · On-site

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 • ...

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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 11, 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? The top searched job categories for Ml Infrastructure Engineer jobs in Florida are:
What cities in Florida are hiring for Ml Infrastructure Engineer jobs? Cities in Florida with the most Ml Infrastructure Engineer job openings:
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.

Staff AI/ML Infrastructure Engineer

Kforce Technology Staffing

West Palm Beach, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

RESPONSIBILITIES:
Kforce has a client in West Palm Beach, FL that is seeking a Staff AI/ML Infrastructure Engineer.
Key Responsibilities:
* Design and maintain GPU and bare metal infrastructure in containerized and physical environments
* Build scalable GPU clusters in partnership with networking and provisioning teams
* Ensure reliable, high-performance provisioning of GPU infrastructure
* Develop automated testing systems for GPU-based platforms
* Implement infrastructure solutions for diverse AI/ML workloads
* Benchmark, test, and troubleshoot GPU performance at scale
* Collaborate with hardware vendors on drivers, firmware, and support
* Resolve hardware, software, and performance issues across environments
* Optimize rail and cluster performance across architectures
* Lead technical direction and mentor engineers on infrastructure best practices
REQUIREMENTS:
* 5+ years experience working with bare metal infrastructure and hardware automation
* Hands-on experience with modern NVIDIA/AMD GPU platforms and high-performance networking (RoCE, InfiniBand)
* Deep knowledge of BIOS, BMC, firmware, NICs, Redfish/IPMI, and PCIe systems
* Strong Linux systems experience including device drivers and package management
* Experience building infrastructure automation using Python and Bash
* Familiarity with GPU drivers, firmware ecosystems, and vendor collaboration
* Experience designing and delivering complex infrastructure products
* Proven ability to lead projects and mentor engineers
* Experience optimizing multi-cluster GPU environments
* Exposure to Machine Learning software stacks and GPU workloads
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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