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Ml Infrastructure Engineer Jobs in Florida (NOW HIRING)

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.

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.

Apply prompt engineering, embedding techniques, and model fine-tuning using frameworks such as ... ML infrastructure. * Proven ability to work effectively in Agile and cross-functional team ...

$88K - $115K/yr

... and AI/ML solutions. The role partners closely with cross-functional business, engineering, risk, security, and infrastructure teams to establish reusable frameworks, architectural patterns ...

Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow ...

Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities ... Generative AI & ML: Practical experience with Machine Learning (ML) and Artificial Intelligence (AI ...

DevOps Platform Engineer

Eglin, FL · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with Infrastructure as Code, including Terraform, or Configuration as Code, including ... Experience with AI/ML/LLM security such as Hidden Layer * Experience automating, monitoring and ...

Showing results 21-40

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 16, 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:

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.

Lead ML Ops Engineer

Cliftonlarsonallen

Orlando, FL • On-site

$95K - $126K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 25 days ago


CliftonLarsonAllen rating

6.7

Company rating: 6.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants


Job description

LA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Lead Machine Learning Operations Engineer to join our talented team. This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals.

How you'll create opportunities in this role:

Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps, and build reusable frameworks and standards adopted across multiple projects and business units.

Oversee enterprisescale AI platforms supporting model training, inference, evaluation, monitoring, retraining, and governance, including generative AI systems.

Align AI and MLOps initiatives with business objectives, ensuring platforms and pipelines meet scalability, performance, security, regulatory, and cost requirements, including responsible and ethical AI considerations.

Implement and enforce best practices for model and prompt versioning, monitoring, retraining, and automated workflows, ensuring consistent and reliable AI operations.

Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday leadership through coaching, development, and performance management.

Ensure platform reliability and operational excellence by overseeing escalated issue resolution, maintaining highquality documentation, and driving continuous improvement.

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution.

What you will need:

6 years of relevant experience required.

  • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred.
  • Supervisory experience preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in computer science, data science, or related field preferred.

Technical Competencies

  • Advanced proficiency in Python and architectural mastery of objectoriented design across dynamically typed languages.
  • Broad experience integrating and governing multilanguage systems, including Python, JavaScript/TypeScript, and enterprise platforms (e.g., .NET).
  • Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.
  • Ability to define and enforce enterprise standards for AI model lifecycle management, monitoring, reliability, and cost control.
  • Deep understanding of AI system observability, including drift detection, evaluation frameworks, and incident response.
  • Strong experience with cloud architecture, security, compliance, and enterprisescale deployments.
  • Proven ability to guide teams in technical decisionmaking and platform strategy.

#LI-JH1


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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012