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Senior Machine Learning Engineer Jobs in New Port Richey, FL

Senior Software Engineer

Tampa, FL · On-site

$90 - $140/hr

... Programming methodologies and design patterns. * Develop highly performant backend service ... Integrate Machine Learning components into microservices and collaborate with infrastructure teams ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated ...

Senior Cybersecurity Engineer - Tampa

Tampa, FL · Hybrid

$108K - $148K/yr

... machine learning. RESPONSIBILITIES: * Responsible for providing 4th and 5th level support for ... Senior Cybersecurity Engineer - Tampa Tampa, FL 33603 or Dallas, TX 75203 - Hybrid They offers a ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Agentic AI developer

Tampa, FL

$114K - $154K/yr

This is a senior development role responsible for leading the design, architecture, and ... Experience designing and deploying machine learning systems across training, inference, and ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Job Title: Bigdata Engineer Location: Tampa, FL Duration: 12+ Months Contract to hire Job ... Deploy the machine learning model and serve its outputs as RESTful API calls. Understand the ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data • ...

... machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google ... Our Senior Consultants are expected to contribute to the firm's growth and development in a variety ...

Google Senior Data Engineer

Tampa, FL · On-site

$94K - $266K/yr

... or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to ... The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization ...

AI Engineer

Tampa, FL · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Principal Software Engineer

Tampa, FL · On-site

$127K - $171K/yr

Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. A background in data engineering, including experience with data pipelines ...

Principal Software Engineer

Tampa, FL · On-site

$122K - $164K/yr

Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. A background in data engineering, including experience with data pipelines ...

Principal Software Engineer

Tampa, FL · On-site

$127K - $171K/yr

Yourexpertisein both machine learning and operations will be essential in creating efficient and reliable ML pipelines.A background in data engineering, including experience with data pipelines and ...

... machine learning algorithms and predictive modeling to solve complex business problems - Creating ... Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk ...

Showing results 21-40

Senior Machine Learning Engineer information

See New Port Richey, FL salary details

$53K

$112.7K

$163.4K

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

As of Aug 18, 2026, the average yearly pay for senior machine learning engineer in New Port Richey, FL is $112,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $127,800.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Senior Machine Learning Engineer jobs in New Port Richey, FL?

For Senior Machine Learning Engineer jobs in New Port Richey, FL, the most frequently searched job titles are:

What cities near New Port Richey, FL are hiring for Senior Machine Learning Engineer jobs?

Cities near New Port Richey, FL with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in New Port Richey, FL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $112,723 per year, or $54.2 per hour.

Senior Software Engineer

Jobtailor

Tampa, FL • On-site

$90 - $140/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

  • Participate in technical implementation discussions to balance business value, scalability, and delivery timelines using Object-Oriented Programming methodologies and design patterns.
  • Develop highly performant backend service functionalities and API-to-API integrations using Java (Spring Boot) and Python (Flask) with JavaScript Object Notation (JSON) formats and Structured Query Language (SQL) databases.
  • Design and build front-end service layers to support user interface needs using modern web technologies like Angular and React JavaScript.
  • Integrate Machine Learning components into microservices and collaborate with infrastructure teams to implement highly scalable, distributed systems.
  • Utilize Docker containerization to build application images for deployment across Google Cloud Platform, Amazon Web Services, and Microsoft Azure, while writing unit tests with a test-driven mindset and debugging performance issues.
Requirements
  • 3–5 years of experience in backend application development utilizing Object-Oriented Programming, Java, Python, Docker, Linux shell scripting, and Structured Query Language (SQL) development.
  • 3–5 years of experience with cloud service providers like Google Cloud Platform, Amazon Web Services, or Microsoft Azure, specifically across storage, compute, and Kubernetes services.
  • Strong knowledge of server-oriented architectures, web platform applications, Application Programming Interface (API) gateways, and integration with Representational State Transfer (REST) services.
  • Proven ability in developing and deploying scalable Artificial Intelligence and Machine Learning (AI/ML) microservices, managing architectural governance, conducting security reviews, and identifying performance challenges.
  • Solid experience with distributed team environments and Agile Scrum methodologies utilizing tools such as Atlassian JIRA, Rally, Team Foundation Server (TFS), or Version One.
  • Mastery of code repositories and version control systems including Git and artifactory repositories.
  • Minimum Bachelor’s degree (Bachelor of Science, Master of Science, or Master of Business Administration) combined with strong communication, collaboration, and problem-solving skills.
Core Competencies

Demonstrates expertise in backend application development using Object-Oriented Programming, Java, and Python, with a strong focus on cloud services and scalable microservices architecture. Proficient in utilizing modern web technologies and Agile methodologies to deliver high-performance solutions.

Highest-signal resume keywords
  • Java Development
  • Python Development
  • Cloud Services (GCP, AWS, Azure)
  • Machine Learning Microservices
  • Agile Scrum Methodologies
ATS Optimization KeywordsHard Skills
  • Object-Oriented Programming
  • Java
  • Python
  • Docker
  • SQL
  • API Development
  • Machine Learning
  • Unit Testing
  • Linux Shell Scripting
  • Version Control (Git)
Soft Skills
  • Communication
  • Collaboration
  • Problem-Solving
Certifications & Qualifications
  • Bachelor of Science
  • Master of Science
  • Master of Business Administration
Industry Keywords
  • Microservices
  • Distributed Systems
  • Server-Oriented Architectures
  • REST Services
  • API Gateways
Tools & Technologies
  • Google Cloud Platform
  • Amazon Web Services
  • Microsoft Azure
  • Atlassian JIRA
  • Rally
  • Team Foundation Server (TFS)
  • Version One
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