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Contract Meta Machine Learning Jobs in Wimauma, FL

Python Tutor

Saint Petersburg, FL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Python Tutor

Tampa, FL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Business Analytics Tutor

Tampa, FL · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Linear Algebra Tutor

Tampa, FL · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Engineer with Security Clearance

Tampa, FL · On-site

$108K - $129K/yr

... machine learning initiatives. • Develop and manage ETL/ELT workflows to efficiently ingest ... Responsibilities may shift based on contract requirements, mission needs, or organizational ...

Senior BI Product Manager ID65844

Tampa, FL · On-site +1

$119K - $157K/yr

... points to BI, Machine Learning, and AI opportunities, uncovering the "what" and "why" behind ... contract lifecycle, billing, entitlement, and downstream revenue recognition (including ASC 606 ...

... in AI, Machine Learning, Autonomous Systems and/or Human-Machine Teaming Proficiency in data ... and contract wage rates, relevant prior work experience, specific skills and competencies ...

Expertise in AI, Machine Learning, Autonomous Systems and/or Human-Machine Teaming * Proficiency in ... and contract wage rates, relevant prior work experience, specific skills and competencies ...

Expertise in AI, Machine Learning, Autonomous Systems and/or Human-Machine Teaming * Proficiency in ... and contract wage rates, relevant prior work experience, specific skills and competencies ...

... in AI, Machine Learning, Autonomous Systems and/or Human-Machine Teaming Proficiency in data ... and contract wage rates, relevant prior work experience, specific skills and competencies ...

Showing results 21-40

Contract Meta Machine Learning information

See Wimauma, FL salary details

$11

$16

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How much do contract meta machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for contract meta machine learning in Wimauma, FL is $16.60, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $17.79 per hour, depending on experience, location, and employer.

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are popular job titles related to Contract Meta Machine Learning jobs in Wimauma, FL?

For Contract Meta Machine Learning jobs in Wimauma, FL, the most frequently searched job titles are:

What job categories do people searching Contract Meta Machine Learning jobs in Wimauma, FL look for?

The top searched job categories for Contract Meta Machine Learning jobs in Wimauma, FL are:

What cities near Wimauma, FL are hiring for Contract Meta Machine Learning jobs?

Cities near Wimauma, FL with the most Contract Meta Machine Learning job openings:

SITEC - Splunk (UEBA) Engineer - MacDill AFB with Security Clearance

Peraton

Tampa, FL • On-site

$86K - $138K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 226 rated it services


Job description

About Peraton Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure. Program Overview Peraton provides USSOCOM, its Component Commands, Theater Special Operations Commands (TSOCs), deployed forces, CIO/J6, and end-users with high-quality IT platform and network services over an eight-year period. About The Role Peraton requires Splunk Engineers to support the Special Operation Command Information Technology Enterprise Contract (SITEC) - 3 EOM. This position is located at MacDill AFB in Florida. The purpose of the Special Operations Forces Information Technology Enterprise Contract (SITEC) 3 Enterprise Operations and Maintenance (EOM) Task Order (TO) is to provide USSOCOM, its Component Commands, its Theater Special Operations Commands (TSOCs), and its deployed forces with Operations and Maintenance (O&M) services to maintain Network Operations (NetOps); maintain systems and network infrastructure; provide end user and common device support; provide configuration, change, license, and asset management; conduct training, and perform Install, Move, Add, Change (IMACs) services. The responsibilities and tasks associated with each requirement play a pivotal role to USSOCOM, the CIO/J6 organization, and ultimately the end-user who operate around the globe 24x7x365. The Splunk Engineer will serve as a technical expert responsible for the design, administration, and optimization of the enterprise Splunk environment, with a specialized and heavy focus on User and Entity Behavior Analytics (UEBA). The engineer will bridge the gap between core log management and advanced behavioral analytics by leveraging Splunk User Behavior Analytics (UBA) and machine learning models to detect compromised accounts, insider threats, and lateral movement. This position ensures that high-fidelity behavioral telemetry is integrated, baselined, and actionable for the Security Operations Center (SOC). * Lead the design, engineering and deployment of Splunk User Behavior Analytics (UBA), focusing on the ingestion of identity-centric data sources (e.g., Active Directory, VPN, Cloud Access Security Brokers, and HR systems).
* Develop, tune, and optimize machine learning models and behavioral algorithms to establish accurate baselines for "normal" user and entity behavior.
* Collaborate with the Insider Threat and SOC teams to identify anomalous activity, such as credential misuse, unusual data movement, and account takeover (ATO) scenarios.
* Perform advanced data normalization and tagging using the Splunk Common Information Model (CIM) to ensure behavioral data is properly structured for the UEBA engine.
* Integrate UEBA-generated anomalies and threats into the Splunk Enterprise Security Incident Review dashboard and Security Orchestration, Automation, and Response (SOAR) playbooks.
* Monitor UEBA system health, including data ingestion rates, model processing times, and platform stability, performing rapid troubleshooting as required.
* Document technical configurations, threat modeling logic, and behavioral detection playbooks for the engineering and analyst teams.
Qualifications Required Qualifications: * Min 12 years with HS degree, 10 years with AS/AA degree, 8 years with BS/BA, 6 years with MS/MA, 3 years with PhD
* DoD 8570 IAT II Certification * DoD TS/SCI clearance Desired Qualifications: * Must be DoW 8140 compliant under the Work Role Code 451 - System Administrator - Intermediate level or higher by 1 Oct 26.
* Previous experience operating within Department of War (DoW) or DoD enterprise network environments.
* Active Splunk Enterprise Security Certified Admin or Splunk Certified Developer certifications.
* Experience using Python or Bash for automation of Splunk administrative tasks and API integrations.
* Knowledge of the MITRE ATT&CK framework and mapping behavioral anomalies to specific adversary tactics and techniques.
Details Target Salary Range: $86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits. Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate's own. EEO:Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017