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Machine Learning Assistant Jobs in Tampa, FL (NOW HIRING)

Disys

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Deploy the machine learning model and serve its outputs as RESTful API calls. Understand the ... Maintain and improve tools to assist Analytics in ETL, retrospective testing, efficiency ...

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 ... tools to assist Analytics in ETL, retrospective testing, efficiency, • repeatability, and R&D ...

Deloitte

Cyber - SecOps - Consultant

Tampa, FL · On-site

... assistants, computer vision, cognitive services, and big data tools used to manage large datasets * Experience applying artificial intelligence (AI), machine learning (ML), and advanced data ...

Endurion

Data Scientist

Tampa, FL · On-site

... assist warfighters in making data visible, accessible, understandable, linked, trustworthy, interoperable, and secure.  * Expert Python developer using many different machine learning and data ...

UAB

DATA SCIENTIST LEAD

Tampa, FL

$104K - $169K/yr

Typically includes creating various machine learning-based tools or processes within the unit, such ... Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX ...

PODS

Engineer IV - Applied AI

Clearwater, FL · On-site

... virtual assistants, and intelligent workflow automation capabilities. Data Integration ... machine learning solutions utilizing platforms such as Snowflake and related technologies. • ...

Socket.dev

Data Scientist III- Operations

Clearwater, FL · On-site

$120 - $170/hr

... * Assist in root-cause analysis to surface optimization and automation opportunities across field ... Applied machine learning: Experience building, testing, and validating forecasting, regression ...

CONMED

Associate Machine Operator - PMO 3rd Shift

Largo, FL · On-site

$14.75 - $17.50/hr

Key roles will be to ensure the smooth operation of machinery and assist the operations team in efficient production. This role has great potential for growth and learning in a safe, clean work ...

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Machine Learning Assistant information

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How much do machine learning assistant jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for machine learning assistant in Tampa, FL is $17.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $18.17 per hour, depending on experience, location, and employer.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

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

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

What are popular job titles related to Machine Learning Assistant jobs in Tampa, FL?

For Machine Learning Assistant jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Assistant jobs in Tampa, FL look for?

The top searched job categories for Machine Learning Assistant jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Machine Learning Assistant jobs?

Cities near Tampa, FL with the most Machine Learning Assistant job openings:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Tampa, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,485 per year, or $17.1 per hour.

Bigdata Engineer

Disys

Tampa, FL • On-site

$52.75 - $69.75/hr

Contractor

Re-posted 29 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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