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Machine Learning Engineer Jobs in Lutz, FL (NOW HIRING)

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 analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

CTIO AI Engineering Manager

Tampa, FL · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Senior Forward Deployed Engineer- AWS

Tampa, FL · On-site

$98K - $135K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

1872 Consulting

Software Engineer (FL)

Tampa, FL · On-site

Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. As a Software Engineer, you will be a core contributor to ...

Catalyst Labs

ML Engineer

Tampa, FL · On-site

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Lutz, FL

Machine Learning Engineer information

See Lutz, FL salary details

$28.6K

$117.1K

$176K

How much do machine learning engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning engineer in Lutz, FL is $117,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $140,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

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

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

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

Cities near Lutz, FL with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Lutz, FL as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $117,093 per year, or $56.3 per hour.

Manufacturing Engineer - Automation & Digitalization

Gibsonton, FL • On-site

Siemens Energy, Inc.
Engine, Turbine, and Power Transmission Equipment Manufacturing • 10K+ employees
Learn more about Siemens Energy, Inc.external

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

Job description

A Snapshot of Your Day
As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy, you'll support the BVT (Blades & Vanes) Expansion project within the Operations Tampa manufacturing facility. The primary business objective is to leverage advanced automation and artificial intelligence to enhance operational efficiency, increase productivity, and support the growth of the manufacturing capabilities. To achieve these goals, this role will concentrate on three core areas: the development and deployment of AI and machine learning solutions tailored for manufacturing processes, the design and implementation of robust automation workflows, and the management of the underlying data infrastructure required to support these systems. This focus ensures that digitalization efforts are directly applied to tangible operational improvements, from quality control to predictive maintenance. Given the focus on applying advanced technology in an industrial setting, the ideal candidate will possess significant experience in AI/ML engineering combined with a strong understanding of manufacturing environments. Key requirements include advanced proficiency in programming and data management, experience with ML frameworks, and a proven ability to independently manage complex technical projects from conception to integration.
How You'll Make an Impact
  • Design, develop, and deploy machine learning models for manufacturing applications, including predictive maintenance, process optimization, and quality control.
  • Apply computer vision techniques to automate visual inspection tasks and enhance defect detection accuracy on the production line.
  • Train, validate, and optimize AI models using data sourced from manufacturing equipment and operational systems.
  • Research and implement advanced AI/ML methodologies, such as deep learning and generative AI, to address complex manufacturing challenges.
  • Analyze existing manufacturing workflows to identify and prioritize opportunities for digitalization and automation.
  • Develop and implement automation scripts and solutions to streamline repetitive tasks and improve operational throughput.
  • Integrate AI/ML models and digital tools into production systems, MES platforms, and equipment using APIs and other integration technologies.
  • Manage automation project lifecycles from requirements gathering through deployment and post‑implementation support.
  • Build and maintain scalable data pipelines for collecting, cleaning, and processing high‑volume industrial data.
  • Implement MLOps practices to establish CI/CD pipelines for machine learning models, ensuring reliable deployment and monitoring.
  • Ensure data governance, quality, and integrity for all datasets used in AI training and operational analytics.
  • Collaborate with IT and OT teams to manage both cloud and on‑premise infrastructure supporting AI development and deployment.
What You Bring
  • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related technical field.
  • 5+ years of professional experience in developing and implementing AI, machine learning, or automation solutions.
  • Demonstrated experience applying AI/ML in an industrial, manufacturing, or operational technology (OT) environment is highly preferred.
  • Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging generative AI approaches.
  • Strong technical capabilities in Python, SQL, automation, software engineering concepts, and integrating applications through APIs.
  • Demonstrated analytical, troubleshooting, and collaborative skills to support complex technical problem‑solving in cross-functional environments.
  • Candidates with more experience can be considered for a higher level or vice versa.
  • Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
  • This position will require an export license from the Department of Commerce, Bureau of Industry and Security and/or the Department of State, Directorate of Defense Trade Controls. Issuance of any required license is a prerequisite for this position. The candidate must be able to work with export-controlled technology in accordance with US export control law.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Rewards
  • Career growth and development opportunities
  • Supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave
Jobs & Careers: https://jobs.siemens-energy.com/jobs
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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