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Meta Machine Learning Engineer Jobs in Lakeland, FL

Crowe LLP

Machine Learning Engineer

Tampa, FL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

MUFG

Senior Security Engineer - AI, Vice President

Tampa, FL · Hybrid

$108K - $148K/yr

Use and fine-tune machine learning models (like Deep Learning, K-MEANS, SVM etc) to identify ... Audit existing manual workflows and re-engineer them using a "Machine-First" mindset, utilizing ...

Varsity Tutors

Machine Learning Tutor

Tampa, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Booz Allen Hamilton

Data Engineer, Senior

Tampa, FL · On-site

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site +1

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Deloitte

Senior AI Engineer - SFL Scientific

Tampa, FL · On-site

$98K - $135K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

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 • ...

Pwc

AI Engineer

Tampa, FL · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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 ...

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All JobsMeta Machine Learning Engineer JobsMeta Machine Learning Engineer Jobs in Lakeland, FL

Meta Machine Learning Engineer information

See Lakeland, FL salary details

$29.4K

$120K

$180.4K

How much do meta machine learning engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for meta machine learning engineer in Lakeland, FL is $120,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,500.00 per year, depending on experience, location, and employer.
Infographic showing various Meta Machine Learning Engineer job openings in Lakeland, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $120,042 per year, or $57.7 per hour.

Machine Learning Engineer

Revenue Management Solutions

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Description
THE OPPORTUNITY
As a machine learning engineer, you will have the opportunity to learn and apply RMS' methodologies to solve analytical problems critical to driving high-end business value to our clients. This position requires basic knowledge of Data Science methods and a strong, applied knowledge of Python and SQL. Experience deploying models in cloud-based environments is desired.
RIGHT TO WORK
Candidates must have the legal right to work in the country the position is based. The employer does not provide sponsorship for work authorization for this role.
WHO YOU'LL WORK WITH
You'll work with as part of our Research & Development team, reporting to the Senior Director of AI and Machine Learning. We take pride in encouraging each other's career ambitions and you'll find opportunities for personal development throughout our company. This is a hybrid position, working in the office 3 days a week.
WHAT YOU'LL DO
  • Monitor model performance both pre- and post-deployment
  • Develop pipelines to collect, transform, and aggregate data
  • Work with CI/CD pipelines to create and deploy artifacts
  • Refactor code to perform efficiently in scaled environments
  • Creatively design solutions to analytical problems using quantitative and qualitative approaches to drive high-end business value
  • Develop and maintain documentation articulating methodology and architecture, as well as data dictionaries
  • Effectively and concisely articulate processes to internal parties

SKILLS AND QUALIFICATIONS
  • Strong knowledge with Python, including experience building custom packages
  • Experience with Scala or Spark will be considered an asset
  • Some cloud-based experience; Azure preferred
  • Ability to manage multiple projects independently
  • Working knowledge of statistics, machine learning and deep-learning algorithms
  • 2+ Years Experience
  • Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or a field with a quantitative and technical emphasis required

PREFERRED
  • Graduate degree, or supplementary courses in Data Science, Data Engineering or Machine Learning

BENEFITS
as a full-time RMS Employee, you will be eligible for:
  • 100% employer paid HSA medical insurance, or 80% employer paid medical insurance for HMO and PPO plans for employees and qualifying dependents
  • Dental and vision insurance (80% employer paid)
  • Basic Life and AD&D insurance (100% employer paid)
  • Telemedicine (100% employer paid)
  • 401k plan with company matching contribution of 4% of annual gross salary with immediate vesting
  • Tuition assistance is available to support continuous education efforts
  • 15 business days paid vacation for the first year based on your hire date (pro rata), 15 days thereafter; 20 days after two years, and 25 days after ten years
  • Eight paid holidays + 1 personal floating holiday
  • Paid parking and health club membership
  • Paid parental leave

WHO WE ARE
Now more than ever, Revenue Management Solutions (RMS) is committed to supporting restaurants through these ever-changing times. Today, more than 50 major brands in over 40 countries trust RMS for data-driven analytics and tech-enabled solutions to optimize sales, menus and a brand's financial health. Six of the top 10 US fast food brands and 16 of the top 30 global restaurant brands (equaling more than 100,000 restaurants) rely on RMS' software solutions and actionable insights to make informed business decisions that drive profitability and combat inflation and increasing wages. The company holds five US patents on menu pricing and customer segmentation and supports ongoing academic research efforts. For more information on how RMS helps its clients, visit revenuemanage.com.
WHAT WE BELIEVE
Our goal at RMS is to create a positive change in the communities we inhabit. With over 20 countries represented throughout our offices, we respect and embrace different cultures, interests, and actions. The acknowledgment of our unique identities is something that connects us across continents to uphold our values of diversity, respect, and responsibility.

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