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Senior Machine Learning Engineer Jobs in Brandon, FL

Jobtailor

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 ...

Pwc

US Tech - AI Engineering Senior Associate

Tampa, FL · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

OneBlood

AI & Machine Lrng Engr

Saint Petersburg, FL · On-site

Five (5) or more years of experience in data engineering, data science, or a related role, with ... Strong working knowledge of machine learning methodologies, including supervised learning (e.g ...

Real Careers

Senior Cybersecurity Engineer - Tampa

Tampa, FL · Hybrid

$108K - $148K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... 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 ...

Deloitte

Lead Forward Deployed Engineer - AWS

Tampa, FL

$96K - $127K/yr

... 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 ...

Virtusa

Agentic AI developer

Tampa, FL · On-site

$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 ...

Deloitte

Forward Deployed Engineer- AWS

Tampa, FL

... 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 ...

Disys

Bigdata Engineer

Tampa, FL

$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 ...

Disys - Oak Brook

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 • ...

Deloitte

Finance Analytics & AI Senior Consultant

Tampa, FL · On-site

$110K/yr

... 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 ...

eTeam

Banking AI Engineer

Tampa, FL · On-site

Responsibilities : • AIML Model Development • Design build and optimize machine learning and ... Engineering Pipelines • Prepare transform and manage datasets build feature pipelines and model ...

Crowe LLP

Senior AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

  • PTO

The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning systems with a high degree of autonomy. This role partners closely with architects and product ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Brandon, FL

Senior Machine Learning Engineer information

See Brandon, FL salary details

$51.7K

$110K

$159.4K

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

As of Aug 15, 2026, the average yearly pay for senior machine learning engineer in Brandon, FL is $109,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $124,700.00 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 Brandon, FL?

The most popular types of Machine Learning Engineer jobs in Brandon, FL are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Brandon, FL?

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

What job categories do people searching Senior Machine Learning Engineer jobs in Brandon, FL look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Brandon, FL are:

What cities near Brandon, FL are hiring for Senior Machine Learning Engineer jobs?

Cities near Brandon, FL 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 Brandon, FL as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 1% Temporary, and 5% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $109,968 per year, or $52.9 per hour.

Senior Software Engineer

Jobtailor

Tampa, FL • On-site

$90 - $140/hr

Other

Posted 10 days ago

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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