ZipRecruiter

Log In

1

Mlops Engineer Jobs in Florida (NOW HIRING)

AgileEngine, LLC.

MLOps Engineer ID72409

Orlando, FL · On-site

$125 - $150/hr

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Boca Raton, FL · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

West Palm Beach, FL · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine, LLC.

MLOps Engineer ID72409

Tampa, FL · On-site

$125 - $150/hr

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Orlando, FL · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Tallahassee, FL

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine, LLC.

MLOps Engineer ID72409

Miami, FL · On-site

$150 - $200/hr

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine, LLC.

MLOps Engineer ID72409

Boca Raton, FL · On-site

$125 - $150/hr

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Orlando, FL

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Tampa, FL · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Jacksonville, FL · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Miami, FL

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Fort Lauderdale, FL · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

Parsons

$103K - $181K/yr

Parsons is seeking a talented MLOps & CI/CD Pipeline Developer to join our innovative team! In this role, you will collaborate directly with our high-performing data science and analysis teams to ...

next page

Showing results 1-20

All JobsMlops Engineer JobsMlops Engineer Jobs in Florida

Mlops Engineer information

See Florida salary details

$80.1K

$125.6K

$145.8K

How much do mlops engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for mlops engineer in Florida is $125,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,684.00 and $135,421.00 per year, depending on experience, location, and employer.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What do you need to be a MLOps engineer?

To become a MLOps engineer, you typically need a strong background in software engineering, machine learning, and cloud platforms. Proficiency in programming languages like Python, experience with containerization tools such as Docker, and knowledge of CI/CD pipelines are essential. Certifications in cloud services and familiarity with tools like Kubernetes and ML frameworks also enhance qualifications.

Who earns more, ML engineer or MLOps engineer?

MLOps engineers typically earn slightly more than ML engineers due to their focus on deploying, maintaining, and scaling machine learning systems, which requires expertise in cloud platforms, automation, and infrastructure. Salary differences can vary based on experience, location, and company size, but MLOps roles often command higher compensation because of their specialized skill set.

What are the most commonly searched types of Mlops Engineer jobs in Florida?

The most popular types of Mlops Engineer jobs in Florida are:

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

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

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

The top searched job categories for Mlops Engineer jobs in Florida are:

What cities in Florida are hiring for Mlops Engineer jobs?

Cities in Florida with the most Mlops Engineer job openings:

Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Florida as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,644 per year, or $60.4 per hour.

MLOPs Engineer

Compusoft Integrated Solutions, Inc.

Miami, FL • On-site

Other

Posted 22 days ago

Job description

Title: MLOPs Engineer

Location: Hybrid Role (South Florida Preferred)

Duration: 6+ Months (Must be able to convert FTE WITHOUT SPONSORSHIP)

Required Skills:

  • 8+ years of Machine Learning Engineering or applied AI experience.
  • 3+ years in Lead, Principal, or senior technical leadership roles.
  • Strong hands-on Python development for production-grade machine learning solutions.
  • Advanced experience with Databricks, MLflow, and distributed machine learning workloads.
  • Expertise with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.
  • Proven experience building and deploying large-scale recommendation engines.
  • Strong experience developing customer personalization and customer intelligence solutions.
  • Experience with customer segmentation, churn prediction, and customer value models.
  • Strong understanding of Customer 360 platforms and unified customer data.
  • Experience using identity graphs to improve customer matching and prediction accuracy.
  • Strong feature engineering, model evaluation, validation, and lifecycle management experience.
  • Experience designing scalable batch and real-time inference architectures.
  • Proven experience deploying, monitoring, and retraining machine learning models in production.
  • Experience partnering with Data Engineering teams to create ML-ready datasets.
  • Strong architecture experience across Data Science, Engineering, and MLOps platforms.
  • Experience leading technical design reviews and establishing enterprise ML standards.
  • Strong mentoring, stakeholder communication, and cross-functional technical leadership skills.

Preferred Skills:

  • Experience with Snowflake and integrated Databricks data environments.
  • Experience building GenAI, LLM-powered, or agentic AI applications.
  • Experience developing domain-specific AI agents and intelligent assistants.
  • Knowledge of MLOps, feature stores, model serving, and automated retraining.

Experience with real-time recommendation and streaming personalization platforms

Apply