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Reinforcement Learning Engineer Jobs in Florida (NOW HIRING)

Apply prompt engineering, embedding techniques, and model fine-tuning using frameworks such as ... Familiarity with reinforcement learning, probabilistic modeling, or stochastic optimization ...

Implement prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning. * Implement and maintain feature stores, model monitoring workflows ...

Implement prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning. * Implement and maintain feature stores, model monitoring workflows ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications

Experience optimizing models for business ROI; exposure to reinforcement learning or advanced optimization Databricks Platform & Data Engineering Required * Strong Python proficiency for data ...

Experience optimizing models for business ROI; exposure to reinforcement learning or advanced optimization Databricks Platform & Data Engineering Required * Strong Python proficiency for data ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications

Partner with AI Engineering, AI Product, and Data Engineering counterparts to ensure models are ... reinforcement learning, or simulation modeling; exposure to LLM-based ML use cases. What we offer:

Partner with AI Engineering, AI Product, and Data Engineering counterparts to ensure models are ... reinforcement learning, or simulation modeling; exposure to LLM-based ML use cases. What we offer:

Partner with AI Engineering, AI Product, and Data Engineering counterparts to ensure models are ... reinforcement learning, or simulation modeling; exposure to LLM-based ML use cases. What we offer:

Post Doctoral Associate

Coral Gables, FL

$46K - $63K/yr

... reinforcement learning, and human-machine interaction. Facilitate strategic collaborations across departments within the College of Engineering and with the UM Miller School of Medicine, to advance ...

Structural Engineer

Tampa, FL · On-site

$75K - $80K/yr

Support the senior engineers by preparing reinforcement lists, quantity take-offs, and redlines for ... Additional learning and development programs, training, career opportunities and a highly regarded ...

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Reinforcement Learning Engineer information

See Florida salary details

$28.4K

$86.6K

$143.1K

How much do reinforcement learning engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for reinforcement learning engineer in Florida is $86,585.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $113,200.00 per year, depending on experience, location, and employer.

What are Reinforcement Learning Engineers?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

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

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Reinforcement Learning Engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

What is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What cities in Florida are hiring for Reinforcement Learning Engineer jobs? Cities in Florida with the most Reinforcement Learning Engineer job openings:
Infographic showing various Reinforcement Learning Engineer job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $86,585 per year, or $41.6 per hour.
Data Scientist

Other

Posted 6 days ago


NextEra Energy rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

24th of 52 rated energy and utility


Job description

Requisition ID:  95280 

NextEra Energy Resources is one of America's largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us!

Position Specific Description

We are seeking a Data Scientist with strong expertise in Machine Learning (ML) and Generative AI (LLMs) to design, develop, and deploy intelligent, data-driven solutions within a modern cloud environment. 
This role involves close collaboration with data engineers and business stakeholders to build and operationalize production-grade AI systems using AWS and cutting-edge LLM frameworks. 

Core Responsibilities 

  • Design, develop, and deploy machine learning and generative AI models to address complex business challenges and enhance decision-making. 
  • Implement Retrieval-Augmented Generation (RAG) and semantic search pipelines that integrate large language models with enterprise data sources. 
  • Apply prompt engineering, embedding techniques, and model fine-tuning using frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers. 
  • Collaborate with engineering teams to ensure scalable data ingestion, ETL/ELT workflows, and model deployment across cloud environments. 
  • Communicate technical insights and analytical results clearly to both technical and non-technical audiences. 
  • Contribute to Agile development processes and maintain code through Git/GitHub, CI/CD automation, and infrastructure-as-code (CloudFormation or equivalent). 
  • Preferred Qualifications 
  • 2+ years of hands-on experience with Large Language Models (LLMs) or Generative AI, such as GPT, Claude, Llama, or Mistral. 
  • Proficiency in Python and key libraries including pandas, NumPy, scikit-learn, PyTorch, and TensorFlow. 
  • Experience implementing RAG architectures, vector databases (e.g., Pinecone, FAISS, Weaviate), or LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, CrewAI, LangGraph). 
  • Practical experience working with AWS services (SageMaker, Lambda, S3, RDS, etc.). 
  • Strong foundation in statistics, linear algebra, and optimization for model design and evaluation. 
  • Experience creating insightful data visualizations using Tableau, Power BI, Plotly, or matplotlib. 
  • Familiarity with big data technologies such as Spark, Databricks, or Snowflake. 
  • Deep understanding of machine learning algorithms, data preprocessing, and model evaluation techniques. 
  • Strong problem-solving abilities with a focus on reproducibility, scalability, and model governance. 
  • Excellent communication skills, with the ability to translate complex analytical findings into actionable business insights. 
  • Demonstrated curiosity and enthusiasm for staying current with advances in AI, Generative AI, and ML infrastructure. 
  • Proven ability to work effectively in Agile and cross-functional team environments. 

Nice to Have 

  • Experience with multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen). 
  • 2+ years of experience in applied data science or machine learning. 
  • At least 1 year of direct, hands-on experience developing or deploying LLMs or Generative AI systems. 
  • Demonstrated experience with working with MLOps engineers to deploying, monitoring, and maintaining production ML models using cloud platforms. 
  • Knowledge of energy market data, time-series forecasting, or optimization modeling. 
  • Familiarity with reinforcement learning, probabilistic modeling, or stochastic optimization techniques. 
Job Overview

This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. "Big Data").

Job Duties & Responsibilities
  • Develops machine learning, optimization and other modeling solutions
  • Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
  • Works with a variety of datasets, including timeseries data and "big data" requiring analysis on distributed computing platforms
  • Writes software in R, Python or similar languages and contributes code to product development teams
  • Performs other job-related duties as assigned
Required Qualifications
  • Bachelor's Degree
  • Experience: 2+ years
Preferred Qualifications
  • Master's Degree
  • Doctoral Degree

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.

Employee Group:  Exempt
Employee Type:  Full Time
Job Category:  Science, Research, and Technology
Organization:  NextEra Energy Resources, LLC 
Relocation Provided:  No

NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. 

NextEra Energy and provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to recruiting-coordinator.sharedmailbox@nexteraenergy.com, providing your name, telephone number and the best time for us to reach you. 

NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

NextEra Energy does not accept any unsolicited resumes or referrals from any third-party recruiting firms or agencies. Please see our policy for more information.


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