

Noblesoft Solutions
Machine Learning Engineer (NLP) - Local to Tampa, FL
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer (NLP) based in Tampa, FL, with a contract length of unspecified duration. Pay is on W2 only. Key skills include Python, AWS, ML frameworks, and SQL. A Bachelor's degree in a related field is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
800
-
ποΈ - Date
December 16, 2025
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
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π - Security
Unknown
-
π - Location detailed
St. Petersburg, FL
-
π§ - Skills detailed
#Programming #Monitoring #Lambda (AWS Lambda) #ML (Machine Learning) #Data Processing #AWS S3 (Amazon Simple Storage Service) #Java #Computer Science #Data Pipeline #PyTorch #Data Science #SageMaker #GIT #AWS (Amazon Web Services) #Databases #EC2 #SQL (Structured Query Language) #NLP (Natural Language Processing) #AWS Glue #Python #Automation #TensorFlow #AWS SageMaker #Airflow #JSON (JavaScript Object Notation) #Docker #S3 (Amazon Simple Storage Service) #Logging
Role description
Open to USC/GC Only
On W2 Only No C2C
Looking for someone local to Tampa, FL
Duties
β’ Develop and maintain Python-based applications, APIs, and automation scripts.
β’ Collaborate with data scientists to deploy ML models into production systems.
β’ Support the development of data and model pipelines on AWS (S3, Lambda, SageMaker).
β’ Write clean, efficient, and testable code following best practices.
β’ Implement monitoring and logging to monitor system stability and performance.
β’ Optimize data processing workflows for ML training and inference.
β’ Contribute to CI/CD and MLOps development work.
Skills
Required
β’ Strong Python programming skills.
β’ Understanding of machine learning concepts, preferably with experience using frameworks such as scikit-learn, TensorFlow, or PyTorch.
β’ Familiarity with AWS services (e.g., S3, Lambda, EC2, or SageMaker).
β’ Solid understanding of APIs, data serialization formats (JSON, Parquet), and RESTful services.
β’ Experience with SQL and working with relational databases.
β’ Knowledge of Git, containerization (Docker), and CI/CD workflows.
Preferred
β’ Experience operationalizing or supporting ML models in production.
β’ Exposure to data pipeline tools (AWS Glue, Airflow, Step Functions).
β’ Familiarity with Java.
β’ Experience with AWS Sagemaker.
Education
Bachelorβs degree in Computer Science, Engineering, or a related field, or equivalent experience.
Open to USC/GC Only
On W2 Only No C2C
Looking for someone local to Tampa, FL
Duties
β’ Develop and maintain Python-based applications, APIs, and automation scripts.
β’ Collaborate with data scientists to deploy ML models into production systems.
β’ Support the development of data and model pipelines on AWS (S3, Lambda, SageMaker).
β’ Write clean, efficient, and testable code following best practices.
β’ Implement monitoring and logging to monitor system stability and performance.
β’ Optimize data processing workflows for ML training and inference.
β’ Contribute to CI/CD and MLOps development work.
Skills
Required
β’ Strong Python programming skills.
β’ Understanding of machine learning concepts, preferably with experience using frameworks such as scikit-learn, TensorFlow, or PyTorch.
β’ Familiarity with AWS services (e.g., S3, Lambda, EC2, or SageMaker).
β’ Solid understanding of APIs, data serialization formats (JSON, Parquet), and RESTful services.
β’ Experience with SQL and working with relational databases.
β’ Knowledge of Git, containerization (Docker), and CI/CD workflows.
Preferred
β’ Experience operationalizing or supporting ML models in production.
β’ Exposure to data pipeline tools (AWS Glue, Airflow, Step Functions).
β’ Familiarity with Java.
β’ Experience with AWS Sagemaker.
Education
Bachelorβs degree in Computer Science, Engineering, or a related field, or equivalent experience.






