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Staff Software Engineer Machine Learning Jobs in Wellington, FL

GeniusRx

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

Databricks for additional transformations and machine learning. * Looker for BI and reporting. You ... Knowledge of software engineering best practices including git, agile methods, coding standards and ...

Jj

Staff Data Engineer

Palm Beach Gardens, FL · On-site

... Staff Data Engineer located in Raynham, MA; Raritan, NJ; Palm Beach Gardens, FL; Mooresville, IN ... You will work closely with Product Owners, business teams, data engineers, machine learning teams ...

Access Labs LLC

Data Scientist

North Palm Beach, FL

Develop and implement AI and machine learning solutions that improve operational efficiency and ... Partner with IT, software development, laboratory operations, finance, and commercial teams to ...

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All JobsStaff Software Engineer Machine Learning JobsStaff Software Engineer Machine Learning Jobs in Wellington, FL

Staff Software Engineer Machine Learning information

See Wellington, FL salary details

$56.6K

$150.7K

$205.7K

How much do staff software engineer machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for staff software engineer machine learning in Wellington, FL is $150,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $178,200.00 per year, depending on experience, location, and employer.

What are popular job titles related to Staff Software Engineer Machine Learning jobs in Wellington, FL?

For Staff Software Engineer Machine Learning jobs in Wellington, FL, the most frequently searched job titles are:

Staff Software Engineer Machine Learning jobs near you

Development Engineer

Power Systems Mfg., LLC

Jupiter, FL • On-site

Full-time

Re-posted 14 days ago

Key responsibilities

  • Develop and maintain software for monitoring, analyzing, and graphically representing gas turbine operations.

  • Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities.

  • Work with operational teams to support and troubleshoot issues with customer data and cloud infrastructure.

Job description

POSITION: Development Engineer, Monitoring & Diagnostics

LOCATION: Jupiter, Florida / Hybrid

STATUS: Salaried Non-Exempt


JOB SUMMARY

ESSENTIAL DUTIES AND RESPONSIBILITIES

The essential functions of the job include, but are not limited to, the following:

  • Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities (AWS full stack development, EC2, S3, Lambda, Amplify) 
  • Utilize AI models for knowledge base agent/digital twin of gas turbine.
  • Develop/maintain software for monitoring, analyzing and graphically representing gas turbine operations.
  • Continuously refine/train models to mimic real life engine behavior, minimize false alarms, and predict gas turbine alarms before they occur
  • Work with operational team to support and troubleshoot issue with customer data and cloud infrastructure
  • Continuously improve the OSIsoft PI system architecture
  • Other duties as assigned


MINIMUM REQUIREMENTS

  • Education: Bachelor’s degree in Computer Science, Data Science, Data Analytics, Mechanical Engineering, or a related quantitative/technical field.
  • Generative AI & ML: Practical experience with Machine Learning (ML) and Artificial Intelligence (AI) frameworks. Familiarity with Large Language Models (LLMs) and Foundational Models via platforms like Amazon Bedrock.
  • Full-Stack Development: Understanding of AWS Full-Stack development workflows, including API Management, IAM roles, and cloud security best practices.
  • AWS Cloud Ecosystem: Hands-on experience with AWS Cloud Architecture. Proficiency in core services including EC2 (Compute), S3 (Storage), and AWS Lambda (Serverless).
  • Programming Languages: Proficiency in at least one modern language: Python, TypeScript, C#, or MATLAB.
  • DevOps & Tools: Basic knowledge of Software Development Life Cycle (SDLC), Version Control (Git/GitHub), and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Methodology: Familiarity with Agile/Scrum environments and iterative development processes.
  • Data Analysis: Strong aptitude for data visualization and data modeling.
  • DataBase experience: Experience with SQL and noSQL databases. 

Preferred Skills/Experience

  • AWS Certifications: Active certifications such as AWS Certified Developer, Solutions Architect, or Machine Learning – Specialty.
  • Advanced AI/ML: Exposure to Natural Language Processing (NLP), Neural Networks, or Generative AI integration via Amazon Bedrock and SageMaker.
  • Data Science Stack: Proficiency in data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn)
  • Modern Web Frameworks: Experience in Full-Stack Development using React.js and TypeScript to build responsive user interfaces.
  • API Development: Knowledge of building and consuming RESTful APIs or GraphQL to connect front-end applications with cloud backends.
  • State Management: Familiarity with tools like Redux, Context API, or Zustand for complex UI logic.
  • Version Control: Mastery of Git workflows, including branching strategies, pull requests, and code reviews.
  • CI/CD Pipelines: Experience with AWS CodeCommit, GitHub Actions, or GitLab CI for automated testing and deployment.
  • Infrastructure as Code (IaC): Basic understanding of AWS CloudFormation or Terraform is a significant advantage.

Equal Opportunity Veterans/Disabled