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

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

This role will design and build data pipelines, deploy machine learning solutions, and ... Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this ...

Elevance Health

Distinguished AI Engineer

Tampa, FL · On-site +1

Design, develop, and deploy enterprise AI solutions spanning traditional machine learning ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

This role will design and build data pipelines, deploy machine learning solutions, and ... Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this ...

SynergisticIT

Jr Data Scientist

Tampa, FL

Data Engineers & AI/Machine Learning Engineers Preferred Skills For Java/Full Stack/DevOps Roles ... Associate's, Bachelor's, or Master's degree in CS, IT, Engineering, Statistics, or Mathematics

SynergisticIT

Jr Data Scientist

Tampa, FL

Data Engineers & AI/Machine Learning Engineers Preferred Skills For Java/Full Stack/DevOps Roles ... Associate's, Bachelor's, or Master's degree in CS, IT, Engineering, Statistics, or Mathematics

Crate and Barrel

Stock Associate

Tampa, FL · On-site

$14.25 - $18/hr

Crate and Barrel Operations Associate We inspire purpose-filled living that brings joy to the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

New

Crateandbarrel

Operations Associate, CB2

Tampa, FL · On-site

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

Flow Control Group

Warehouse Associate

Lakeland, FL · On-site

$15 - $17.75/hr

Operate heavy machinery, such as forklifts, to move and store inventory (if qualified). * Wear ... FCG University learning and training platform available to all employees offering over 80k courses.

Flow Control Group Company

Warehouse Associate

Lakeland, FL · On-site

$14.25 - $16.75/hr

Operate heavy machinery, such as forklifts, to move and store inventory (if qualified). * Wear ... FCG University learning and training platform available to all employees offering over 80k courses.

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Showing results 41-60

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Tampa, FL

Associate Machine Learning information

See Tampa, FL salary details

$29.8K

$125.7K

$297.2K

How much do associate machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for associate machine learning in Tampa, FL is $125,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $190,900.00 per year, depending on experience, location, and employer.

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

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
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 Associate Machine Learning jobs in Tampa, FL? For Associate Machine Learning jobs in Tampa, FL, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Tampa, FL look for? The top searched job categories for Associate Machine Learning jobs in Tampa, FL are:
Associate Machine Learning jobs near you

Data Engineer - Databricks

Fintech

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Fintech rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

181st of 242 rated software companies

Job description

This position is Hybrid in Tampa, FL.
We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.
Key Responsibilities
Project Responsibility: End-to-end data pipelines and integrations
Technical Competencies:
  • Advanced SQL optimization and complex query design
  • Kafka streaming applications and connector development
  • Databricks workflow development with medallion architecture
  • Data governance implementation and compliance
  • Performance tuning for large-scale data processing
  • Data security and privacy best practices
  • Apache NiFi pipeline development for invoice and PO processing
  • Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)
  • Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.
  • Design and optimize data architectures for large-scale ML workloads
  • Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases.

Soft Skills:
  • Cross-functional collaboration with product and engineering teams
  • Technical mentoring for junior data engineers
  • Analytical thinking for complex data problems
  • Stakeholder communication for data requirements
  • Process improvement and efficiency focus
  • Quality mindset for data accuracy and reliability Vendor Management:
  • Direct communication with data platform vendors
  • Evaluates vendor tools for specific data use cases
  • Provides technical feedback on vendor product roadmaps
  • Coordinates with vendors for data integration projects

Qualifications:
Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field.
5+ years in data engineering; 2+ years applying ML in production.
Our Benefits:
  • Hybrid Work
  • Employer Matched 401K
  • Company Paid Medical Insurance Option for Employee and Dependent Children
  • Company Paid Dental Insurance for Employee
  • Company Paid Vision Insurance for Employee
  • Company Paid Long and Short-Term Disability
  • Company Paid Life and AD&D Insurance
  • 18 Paid Vacation Days a Year
  • Six Paid Holidays
  • Employee Recognition Programs
  • Holiday Bonus
  • Incentive Compensation
  • Community Outreach Opportunities
  • Business Casual Dress Code

About Fintech:
Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource®, was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit www.fintech.com.
Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech's management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E-Verify.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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