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Senior Machine Learning Engineer Jobs in Brandon, FL

SPEROS

AI/ML Engineer Precision Oncology

Tampa, FL · On-site

$108 - $165/hr

The AI/ML Engineer works at the intersection of machine learning engineering, multimodal data integration, foundation models, generative AI, biomedical data science, and cancer research. This ...

Posted today

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

... 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 ...

Pwc

AI Solutions Engineering Delivery Lead

Tampa, FL · On-site

$96K - $127K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a senior technical leader, you will leverage deep technical specialization, strategic vision ...

Pwc

CTIO - AI Engineer- Senior Manager

Tampa, FL · On-site

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

AgileEngine

Senior Computer Vision Engineer ID72408

Tampa, FL · On-site +1

$98K - $135K/yr

ABOUT THE ROLE We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases -- building and deploying ...

Raft Company Website

Senior Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

As a Senior Engineer , you will be contributing to the development of new features for Raft's Data ... Prior experience working with Machine Learning Engineers or AI Systems * Python experience is a ...

Deloitte

Lead Forward Deployed Engineer - AWS

Tampa, FL · On-site

$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 ...

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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 Sep 6, 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 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 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, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $109,968 per year, or $52.9 per hour.

Machine Learning User Research Scientist (Ph.D. required)

Exponent, Inc

Tampa, FL • On-site

$90 - $120/hr

Other

Retirement

Re-posted 18 days ago

Job description

Our Opportunity

We are currently seeking a Ph.D. levelMachine Learning User Research Scientist for ourData Sciences Practice inTampa, FL. In this role, you will work as part of a team to plan and execute global data collection efforts, utilize and improve next-generation products, and optimize internal and external programs to support clients in the consumer electronic industry.

You will be responsible for
  • Supporting a range of consulting activities related to large-scale local and global programs to build custom datasets for machine learning algorithms, including protocol development, data collection, data management, and analysis
  • Providing operational support for prototype hardware and software systems including system validation and troubleshooting
  • Actively solving technical and logistical problems in a fast-paced environment
  • Creating and leading ad hoc interdisciplinary teams comprised of consultants from Data Sciences, Human Factors, Health Sciences, and Engineering Sciences
  • Developing data analysis and visualization tools related to project management, demographics, and human-centered data
  • Developing and maintaining client relationships
You will have the following skills and qualifications
  • Ph.D. in Electrical Engineering, Computer Engineering, Physiology, Human Factors, or a related engineering/scientific field (such as Applied Mathematics, Computer Science, Cognitive Science, Applied Physics, Industrial Engineering, Mechanical Engineering, Civil Engineering, or Robotics)
  • Ability to take an ambiguous question, use data to draw insights, and convey the results to a wide range of audiences
  • Demonstrated experience and expertise in one or more of the following areas:
    • Advanced sensing technology
    • Networking data analysis and visualization
    • Designing and executing user research studies with human subjects, using appropriate quantitative and qualitative methods to produce strategic and actionable insights that inform design and development
    • Experience in programming or scripting languages like Python, Shell, Java, Perl, MATLAB
    • Experience in instrumentation, data acquisition, and /or data processing
    • Operations optimization
    • Machine learning data set design or optimization
    • Dynamic system modeling and control
  • Experience with human subjects research or direct collection of large experimental data sets to support the development of machine learning or artificial intelligence algorithms
  • The desire to work with a diverse set of clients and engage in work outside of the traditional data science field
  • Strong practical engineering ability combined with leadership and project management skills
  • Excellent verbal and written communication skills
  • Ability to work independently and in multidisciplinary teams
  • Ability to travel to a variety of global locations to support project work (up to 40% travel)
  • Presently legally authorized to work in the United States; no immigration sponsorship or processing required
Compensation

Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.

Benefits you will enjoy

Access benefits information on our Life@Exponent page:

https://www.exponent.com/careers/life-exponent

Job Locations

US-FL-Tampa

Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com.

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