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Machine Learning Engineer Jobs in Zephyrhills, FL

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

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 ...

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 ...

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 ...

Senior Data Science Lead

Tampa, FL · On-site

$140 - $210/hr

Strong programming skills in Python and PySpark. * Experience with SAS or SPSS for statistical analysis. * Hands‑on knowledge of probabilistic graph models. * Proficiency with machine learning ...

New

... 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 ...

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 ...

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 ...

Data Engineer - Databricks

Tampa, FL · On-site

$100 - $130/hr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... This role will design and build data pipelines, deploy machine learning solutions, and ...

New

Data Scientist

Tampa, FL · On-site

$120 - $190/hr

AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, or similar cloud certification. * Security+ or other DoD 8570/8140 certification. Compensation At Graham ...

MLOps Engineer Location: Tampa, FL Seeking a candidate with a 5 to 7 years of experience in MLOps within the Blue verse ML Engineering domain to drive scalable and efficient machine learning ...

Showing results 41-60

Machine Learning Engineer information

See Zephyrhills, FL salary details

$25.6K

$104.5K

$157K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Zephyrhills, FL is $104,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $125,800.00 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.

What are the most commonly searched types of Machine Learning Engineer jobs in Zephyrhills, FL?

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

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

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

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

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

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

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

Infographic showing various Machine Learning Engineer job openings in Zephyrhills, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $104,494 per year, or $50.2 per hour.

Forward Deployed Engineer, AI Transformation - Senior Vice President

Citigroup Inc.

Tampa, FL • On-site

$150 - $203/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks


Job description

We areseekinga highly motivated and innovative Forward Deployed Engineer to join our dynamic team. In this pivotal role, you will be at the forefront of our AI transformation journey, partnering directly with business process owners and technology leaders to fundamentally reimagine and re-engineer core business processes. You will help define principled approaches to agentic solution design and create reference solutions thatleveragethe power of Artificial Intelligence to set new standards for efficiency and innovation.

The ideal candidate is a creative problem-solver with a unique blend of technicalexpertise, business acumen, and a passion for AI. You will act as the crucial bridge between business needs and technical solutions,identifyingopportunities for AI-driven automation and bringing those concepts to life. A key part of your role will be to drive the adoption of these reference solutions within various business contexts and to apprentice future experts, ensuring the onward sustainability and scalability of our AI capabilities. You will achieve this byleveragingthe full breadth and depth of Citi AI capabilities, including our growing set of AI agents.

Key Responsibilities

  • Collaborate & Analyze:Work closely with business stakeholders to conduct in-depth analyses of existing business processes, workflows, and pain points.Identifyand prioritize opportunities where AI can deliver maximum impact.

  • Solution Design & Prototyping:Design and rapidly prototype innovative AI-powered solutions. This includes developing proof-of-concepts (POCs) andwhereappropriate,minimumviableproducts (MVPs) todemonstratefeasibility and value.

  • Bridge Communication Gaps:Serve as a key technical translator and liaison between non-technical business users and core engineering teams, ensuring requirements are clearly understood and solutions are fit-for-purpose.

  • Stay Current:Maintaina deep understanding of the rapidly evolving AI landscape, including new tools, techniques, and best practices in machine learning, natural language processing, and generative AI.

  • Measure & Optimize:Define key performance indicators (KPIs) to measure the effectiveness and ROI of AI initiatives.

  • Documentation & Training:Participatein the creation ofcomprehensive documentation for new AI-driven processes and provide training and support to business users to ensure successful adoption.

Qualifications & Required Skills

  • Professional Experience:3-5+ years of experience in a hands-on technical role such as software engineering, data science, or machine learning engineering.

  • AI/ML Knowledge:Deep, hands-on experience withLLMs and AI agents as well ascore machine learning concepts (both supervised and unsupervised), natural language processing (NLP), and data modeling.

  • Business Acumen:Demonstratedability to understand business challenges and translate them into technical requirements and solutions.

  • Communication Skills:Exceptional interpersonal and communication skills, with the ability to articulate complex technical concepts to a non-technical audience.

  • Problem-Solving:A proactive and analytical approach to problem-solving, witha track recordof delivering innovative solutions.

Preferred Skills & Nice-to-Haves

  • Client-Facing Experience:Prior experience in a "forward deployed," consulting, or client-facing technical role is highly desirable.

  • Cloud Platforms:Hands-on experience with major cloud platforms (AWS, Google Cloud, Azure) and their associated AI/ML services (e.g., SageMaker, Vertex AI, Azure ML).

  • Data Engineering:Familiarity with data engineering principles, including ETL/ELT processes, data warehousing, and working with large datasets.

  • Domain Expertise:Knowledge of a specific business domain such aspayments,financeandoperationsin financial services firms.

Education:

  • Bachelor’s degree/University degree or equivalent experience

What We Offer

At Citi's Tampa campus, you'll join a high-performing team working at the leading edge of AI transformation in financial services with access to a collaborative, performance-driven environment and a benefits package designed to support your professional growth and personal wellbeing.

  • Hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility while staying connected to your team.

  • A high-visibility role at the center of Citi's AI strategy, where your work directly shapes the future of how the organization operates.

  • Access to Citi's full suite of AI capabilities and a growing ecosystem of AI agents, giving you cutting-edge tools to solve complex, real-world problems.

  • Structured learning and development opportunities to deepen your technical expertise and grow your career within one of the world's leading financial institutions.

  • Wellbeing and financial support programs designed to help you thrive professionally and personally.

  • The opportunity to mentor and develop the next generation of AI practitioners within Citi, building lasting impact beyond your immediate team.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Tampa Florida United States

Primary Location Full Time Salary Range:

$141,440.00 - $212,160.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Aug 12, 2026

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US