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

Disys

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 ...

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 • ...

Agile Defense

Data Engineer - CENTCOM

Tampa, FL · Hybrid

$108K - $129K/yr

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands. You will help shape ...

Raft

ML Ops Engineer

Tampa, FL · On-site

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.

Amgen, Inc.

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 ...

Amgen

Principal Software Engineer

Tampa, FL

$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 ...

DPR Construction

MLOps Engineer

Tampa, 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 ...

Pwc

CTIO AI Engineering Manager

Tampa, FL

$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 ...

Elevance Health

Distinguished AI Engineer

Tampa, FL · On-site +1

Design, develop, and deploy enterprise AI solutions spanning traditional machine learning ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

ABC Legal Services

Data Scientist

Tampa, FL · On-site +1

$110K - $130K/yr

We're now looking for a Data Scientist with strong ML engineering and MLOps experience to help us take our machine learning capabilities to the next level. Role Overview We're seeking a Data ...

Pwc

NGA AI Engineer 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 ...

Pwc

NGA AI Engineer Senior Manager

Tampa, FL

$91K - $321K/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

US Tech - AI Engineering Senior Associate

Tampa, FL · On-site

$55K - $187K/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 ...

Citi

Sr. Data Scientist - Vice President

Tampa, FL · On-site

$142K - $213K/yr

Extensive experience in statistical analysis, machine learning model development, and programming of software applications, specifically with the Python AI/ML stack (e.g., Scikit-learn, Pandas, NumPy ...

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Showing results 1-20

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 Jul 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $117,093 per year, or $56.3 per hour.
Bigdata Engineer

Bigdata Engineer

Disys

Tampa, FL • On-site

$52.75 - $69.75/hr

Contractor

Posted 26 days ago

Job description

Job Description

Position Details:

Job Title: Bigdata Engineer

Location: Tampa, FL

Duration: 12+ Months Contract to hire

 

Job Responsibilities:

Principal Responsibilities

        Design interfaces to the data warehouses/data storages and machine learning/Big Data

        applications using open source tools such as Scala, Java, Python, Perl and shell scripting.

        Design and create data pipelines to maintain stable dataflow to the machine learning models -

        both in batch mode and near real-time mode.

        Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data

        pipelines and processes fit within the production framework.

        Ensure that tools and environments adhere to strict security protocols.

        Deploy the machine learning model and serve its outputs as RESTful API calls.

        Understand the business needs in close collaborations with subject matter experts (SMEs)

        and Data Scientists to do efficient feature engineering for machine learning models.

        Maintain the code and libraries in code repository.

        Work with system administration team to proactively resolve issues/install tools and libraries

        on the AWS platform.

        Research and come up with architecture and solutions most appropriate for problems at hand.

        Maintain and improve tools to assist Analytics in ETL, retrospective testing, efficiency,

        repeatability, and R&D.

        Lead by example regarding software best practices, including code style and architecture,

        documentation, source control, and testing.

        Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel

        approaches to solve challenging problems using Machine Learning, Big Data and Cloud

        technologies.

        Handle ADHOC requirements to create reports for the end users.

 

Required Skills

        Strong skills with Apache Spark (Spark SQL) and SCALA with at least 2+ years of experience.

        Understanding of AWS Big Data components and tools.

        Strong Java skills with experience in web services and web development is required.

        Hands on experience with model deployment.

        Hands on experience in application deployment on Docker and/or Kubernetes or other similar technology.

        Linux scripting is a plus.

        Fundamental understanding of AWS cloud components.

        2+ years of experience in data ingesting, cleansing/processing, storing and querying large datasets

        2+ years of experience in engineering large-scale data solutions with Java/Tomcat/ SQL/Linux

        Experience working in a data intensive role including the extraction of data (db/web/api/etc.), transformation and loading (ETL)

        Exposure with structured and/or unstructured data contents

        Experience with data cleansing/preparation on Hadoop/Apache Spark Ecosystem - MapReduce/Hive/HBase/Spark SQL

        Experience with distributed streaming tools like Apache KAFKA.

        Experience with multiple file formats (Parquet, Avro, OCR)

        Knowledge in AGILE development cycle.

        Efficient coding skills to enhance the performance/cost savings of the job running on AWS platform.

        Experience in building stable, scalable, and high-speed live streams of data and serving web platforms

        Enthusiastic self-starter with ability to work in a team environment.

        Graduate (MS) or Undergraduate degree in Computer Science/ Engineering/relevant field

 

Nice to have:

        Strong Software development experience

        Machine Learning model deployment experience

        Ability to write custom Map/Reduce programs to clean/prepare complex data

        Familiarity with Streaming data processing - Experience with distributed real time computation system like Apache STORM/Apache Spark Streaming.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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