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Mlops Engineer Jobs in Florida (NOW HIRING)

Hilton Grand Vacations, Inc.

Lead AI Engineer

Orlando, FL · On-site

$95K - $126K/yr

The Lead Data Scientist, AI Engineering sets technical direction for advanced analytics, machine ... The Lead partners with MLOps, Operational Reporting, IT, and product stakeholders to define ...

Tror AI for everyone

AI Engineer

Lake Mary, FL · On-site

AI Engineer Job Location: Lake Mary, FL (3 Days Onsite) Job Type: Contract Need 11+ Years of ... Deployment and MLOPS * Containerization (Docker) * CI/CD pipelines * Monitoring

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 ...

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 ...

Citi

Principal AI Engineer - Vice President

Tampa, FL · On-site

Build and support production-grade MLOps / AIOps pipelines, including CI/CD, automated testing, monitoring, model versioning, and rollback strategies. Partner with engineering teams to ensure secure ...

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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 4, 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 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $125,644 per year, or $60.4 per hour.

Lead AI Engineer

Hilton Grand Vacations, Inc.

Orlando, FL • On-site

$95K - $126K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Hilton Grand Vacations rating

6.8

Company rating: 6.8 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

9th of 21 rated holiday rentals

Job description


WORK FOR A WINNING TEAM THAT NOW OFFERS BENEFITS FROM DAY ONE
At Hilton Grand Vacations, you will become a part of a culture that encourages and motivates you toward achieving your goals.
Here's why you will love it here:
  • Recognition Programs and Rewards
  • Excellent health care options, including medical, dental, and vision
  • A people-first culture
  • Go Hilton: Travel Discounts Program Hilton hotel rates worldwide.
  • Perks at work: Employee Pricing platform
  • Employee Assistance Program that supports your physical and mental well-being.
  • Paid Vacation Time and Paid Sick Days
  • 401(k) program with company match
  • Tuition reimbursement programs
  • Numerous learning and advancement opportunities
  • And more!

What Will I be Doing?
The Lead Data Scientist, AI Engineering sets technical direction for advanced analytics, machine learning, and applied AI that improve business performance and member/guest experience at Hilton Grand Vacations. This role designs and delivers analytical products and AI-powered solutions-from classical prediction and recommender systems to LLM-orchestrated pipelines, agents, and generative experiences-on Databricks and the broader Azure stack.
Primary domains include Inventory Management, Sales Efficiency, Marketing, Member/Guest Satisfaction, Operational Reporting, and Digital Analytics, with extensions into Pricing, Portfolio performance, and personalized member/guest experiences. The Lead partners with MLOps, Operational Reporting, IT, and product stakeholders to define scalable patterns for model and AI application lifecycle management, governs quality and risk for production assets, and elevates delivery quality across the analytics community
Responsibilities
  • Define and prioritize an analytics, ML, and AI engineering roadmap; translate business strategy into a portfolio of models, experiments, LLM applications, and analytical products with clear success metrics.
  • Lead end-to-end delivery of complex ML, statistical, and generative AI solutions-from problem framing and data strategy through deployment, monitoring, evaluation, and iteration-in partnership with MLOps and engineering.
  • Build and evolve an extensible data science and AI platform on Databricks (Python, SQL, Databricks ML, Model Serving, Asset Bundles) integrated with Azure OpenAI and related services.
  • Design and ship applied AI systems relevant to IMA work: prompt and context engineering, LLM orchestration pipelines (e.g. KPI → narrative → media/HTML), retrieval-augmented generation (RAG) where appropriate, evaluation harnesses, guardrails, and Copilot/agent workflows that automate operational processes.
  • Own architecture and standards for forecasting, recommender/personalization systems, predictive analytics, and production AI apps; ensure reproducibility, documentation, CI/CD readiness, and operational excellence.
  • Identify revenue and efficiency opportunities using advanced analytics and AI; initiate projects that bridge operational metrics to financial and customer outcomes.
  • Provide a feature store, reusable components, and technical support that accelerate other analytics teams.
  • Mentor and coach data scientists and analysts through design reviews, code reviews, and pairing-raising the bar on experimentation, responsible AI, and production quality-without formal supervisory responsibility.
  • Respond quickly to high-impact ad-hoc requests; deliver actionable insights and clear recommendations to leadership.
  • Perform prediction modeling, customer lifetime value, and related analyses that inform strategy.
  • Ensure MLOps / AIOps discipline: maintain production code and assets, monitoring, retraining/refresh patterns, incident response, and reliability for models and generative pipelines.
  • Represent IMA analytics with senior business and technology stakeholders: set expectations, manage trade-offs, and communicate implications for operations and financial outcomes.
  • Participate in data governance-metrics definitions, data quality, and source improvement-and formulate UX strategies so analytical and AI outputs are adopted by end users.
  • Perform additional project-based and ad-hoc analysis as assigned.

Qualifications
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field.
  • 8+ years of experience in data science, machine learning, advanced analytics, or AI engineering, including substantial hands-on model/application development in production environments (candidates with 5-7 years of exceptional production AI/ML delivery will be considered).
  • Minimum of 3 years of hands-on experience with Python, SQL, and Databricks (or equivalent lakehouse platforms).
  • Proven experience with NLP and/or generative AI technologies (e.g. OpenAI / Azure OpenAI) applied to real business problems.
  • Experience with MLOps and maintaining production code, models, and AI pipeline assets.
  • Demonstrated ability to mentor peers, lead technical reviews, and set standards-without requiring prior people-manager experience.
  • Strong communication skills; ability to present technical concepts to non-technical stakeholders.
  • Ability to quickly address ad-hoc requests and deliver actionable insights.
  • Proficiency in English, verbal and written.

It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
  • Master's degree or PhD in a quantitative or computer science discipline.
  • Hospitality, travel, or membership-club analytics experience; timeshare / vacation ownership domain a plus.
  • Pricing optimization, inventory management, marketing analytics, or sales-efficiency modeling.
  • Real-time recommendation, personalization, or API-driven model consumption.
  • Databricks Asset Bundles, Azure DevOps pipelines, enterprise data platforms, and feature-store patterns.
  • Building customer-facing or internal generative experiences (narrated briefings, personalized HTML/content pipelines, TTS/media generation, chat or triage agents via Copilot Studio / Power Platform / custom apps).
  • Experience with FastAPI, React, or Databricks Apps for operational AI products.
  • Power BI, Cognos, or similar BI tools; generative BI exploration.
  • Prior technical lead, principal, or staff-level experience (formal people management is not required).

When you join Hilton Grand Vacations, you join a group of Team Members dedicated to helping Owners and Guests around the world make every vacation they take a memorable one. Hilton Grand Vacations is a leading vacation ownership company bringing our Guests vacation dreams to life.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About Hilton Grand Vacations

Sourced by ZipRecruiter

Hilton Grand Vacations Inc. (HGV) is based in Orlando, Florida, and operates in the hospitality industry, specifically in the sector of vacation ownership. The company is committed to providing high quality, professionally managed, and flexible vacation ownership options to its customers. Hilton Grand Vacations sprung from the reputable Hilton Hotels brand, which was founded in 1919 by Conrad Hilton. The company's mission is to put the world on vacation, offering destinations and experiences that go beyond the traditional hotel stay.

Industry

Traveler accommodation

Company size

5,001 - 10,000 Employees

Headquarters location

Orlando, FL, US

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