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Mlops Engineer Jobs in Florida (NOW HIRING)

Apex Systems

AI engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

You will work alongside a Senior ML/AI Engineer and report to the Director, ACE ... You will operate within the architecture and MLOps standards set by the team while having the ...

Compunnel

Artificial Intelligence Engineer

Kissimmee, FL · On-site

... MLOps experiment tracking and AI application lifecycle management. • Collaborate with engineering and architecture teams to define scalable and maintainable AI solutions. • Mentor engineers and ...

Echo IT Solutions

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

... MLOps, cloud platforms (AWS/Azure/GCP), and foundational mathematics. Qualifications : Required : • Strong programming proficiency in Python (expert level) • Deep learning frameworks (PyTorch ...

Capco

AI DevOps Engineer (AWS)

Orlando, FL · On-site

$49.25 - $67.50/hr

Experience supporting AI, Machine Learning, data platforms, or MLOps environments, with strong ... Engineer - Professional, AWS Solutions Architect, or Azure/Google Cloud certifications. Why Join ...

Capco

AI DevOps Engineer (AWS)

Orlando, FL · On-site

$49.25 - $67.50/hr

Experience supporting AI, Machine Learning, data platforms, or MLOps environments, with strong ... Engineer - Professional, AWS Solutions Architect, or Azure/Google Cloud certifications. Why Join ...

Kids for the Future

AI Engineer

Tampa, FL · On-site

$120 - $165/hr

Implement and maintain CI/CD pipelines for AI/ML deployments (MLOps). * Ensure data security ... Proficiency in scripting/programming languages (Python, Bash, or similar) * Understanding of ...

Posted today

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and ... Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and ... Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

Worth AI

Senior Agentic (AI) Engineer

Miami, FL · On-site +1

$99K - $137K/yr

Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and ... Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

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Showing results 21-40

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 Aug 21, 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 August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $125,644 per year, or $60.4 per hour.

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 20 days ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Woonsocket, RI
Duration: 6 months
skill id: 10721291
Experience:
5-15 years (configurable)
Role Overview
We are seeking a highly skilled AI Engineer to design, develop, deploy, and scale Artificial Intelligence and Machine Learning solutions that drive measurable business outcomes. The role focuses on applying ML, Deep Learning, and Generative AI capabilities to solve complex enterprise problems and integrate AI solutions into production systems.
Key Responsibilities
• Design, build, train, evaluate, and deploy machine learning and deep learning models
• Develop LLM-based solutions including prompt engineering, RAG, embeddings, and fine-tuning
• Perform data preprocessing, feature engineering, and model validation
• Deploy AI solutions using MLOps, CI/CD, Docker, and Kubernetes
• Integrate AI models into microservices and enterprise platforms
• Collaborate with business and delivery teams to translate requirements into AI use cases
• Ensure compliance with security, privacy, and responsible AI standards
Required Technical Skills
• Strong fundamentals in Machine Learning, Deep Learning, and Statistics
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience with LLMs and Generative AI frameworks
• Exposure to Cloud platforms (Azure/AWS/GCP)
• Knowledge of APIs, microservices, Docker, Kubernetes
Preferred Skills
• Experience in Retail or Enterprise Transformation programs
• Knowledge of MLOps and Model Governance
• Exposure to Agile delivery environments
Soft Skills
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management
• Continuous learning mindset
Success Metrics
• Delivery of scalable, reliable AI solutions
• Measurable business impact from AI initiatives
• Strong collaboration with cross-functional teams
Skills: Digital : Python ~ Digital : Machine Learning ~ AI Agents ~ AI & Gen AI - Products & Tools, Project Code :

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