ZipRecruiter

Log In

1

Senior Machine Learning Engineer Jobs in Florida

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.

next page

Showing results 1-20

All JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Florida

Senior Machine Learning Engineer information

See Florida salary details

$44.5K

$94.6K

$137.1K

How much do senior machine learning engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for senior machine learning engineer in Florida is $94,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $107,200.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Florida? The most popular types of Machine Learning Engineer jobs in Florida are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Florida? For Senior Machine Learning Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Florida look for? The top searched job categories for Senior Machine Learning Engineer jobs in Florida are:
What cities in Florida are hiring for Senior Machine Learning Engineer jobs? Cities in Florida with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Florida as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $94,575 per year, or $45.5 per hour.
Machine Learning Engineer II, Burger King, US&C

Machine Learning Engineer II, Burger King, US&C

Burger King

Miami, FL • On-site

Full-time

Posted 23 days ago

Key responsibilities

  • Design, develop, and iterate on machine learning models to address high-impact business problems.

  • Collaborate with Analytics Engineering to design and evaluate experiments to validate model performance and quantify real-world impact.

  • Work closely with Analytics Engineering, Data Engineering, and MLOps teams to ensure models are production-ready, scalable, and effectively integrated into downstream systems.

Burger King rating

4.5

Company rating: 4.5 out of 10

Based on 1,893 frontline employees who took The Breakroom Quiz

89th of 104 rated fast food restaurants

Job description

Job Summary:
Burger King is one of the world's largest quick service restaurant companies, seeking a Machine Learning Engineer II to enhance restaurant performance through advanced machine learning models. The role involves developing predictive models from large datasets and collaborating with various teams to ensure these models are integrated into production systems.
Responsibilities:
• Design, develop, and iterate on machine learning models, including causal inference, recommendation systems, clustering, and optimization models to address high-impact business problems.
• Partner with Analytics Engineering to design and evaluate experiments (e.g., A/B testing, matched cohorts, difference-in-differences) to validate model performance and quantify real-world impact.
• Develop models that inform actionable decisions, including prioritization frameworks and expected value–based optimization to drive improvements in traffic and profitability.
• Monitor, evaluate, and refine model performance using statistical methods, backtesting, and iterative experimentation to ensure accuracy, stability, and sustained impact.
• Transform curated datasets into high-quality model inputs through feature engineering, selection, and validation, leveraging domain knowledge and statistical techniques.
• Work closely with Analytics Engineering, Data Engineering, and MLOps teams to ensure models are production-ready, scalable, and effectively integrated into downstream systems.
Qualifications:
Required:
• 3+ years of experience in machine learning, applied statistics, or a related field, with a focus on developing and evaluating models in real-world applications.
• Bachelor’s or Master’s degree in Statistics, Economics, Operations Research, Mathematics, Computer Science, or a related quantitative field; equivalent applied experience will also be considered.
• Strong foundation in statistical modeling and machine learning, with the ability to explain model selection, assumptions, and trade-offs.
• Experience applying a range of modeling techniques such as regression, clustering, recommendation systems, and optimization methods.
• Familiarity with experimental design and causal inference techniques (e.g., A/B testing, difference-in-differences, cohort-based analysis).
• Strong programming skills in Python for analysis and model development.
• Proficiency in SQL and experience working with large-scale datasets in Snowflake or similar cloud data warehouses.
• Experience working in AWS environments (e.g., SageMaker, EMR) and familiarity with workflow orchestration tools such as Dagster or Airflow.
Company:
Burger King is a global chain of hamburger fast food restaurants. It is a sub-organization of Restaurant Brands International. Founded in 1954, the company is headquartered in Miami, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Burger King employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Burger King logo

About Burger King

Sourced by ZipRecruiter

Every day, more than 11 million guests visit Burger King restaurants around the world. And they do so because our restaurants are known for serving high-quality, great-tasting, and affordable food. Founded in 1954, Burger King is the second largest fast food hamburger chain in the world. The original Home of the Whopper, our commitment to premium ingredients, signature recipes, and family-friendly dining experiences is what has defined our brand for more than 50 successful years.

Industry

Food services and drinking places

Company size

10,000+ Employees

Headquarters location

Miami, FL, US

Social media

FacebookTwitter

View All Burger King Jobs

Apply