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Contract Meta Machine Learning Jobs in Pensacola, FL

Booz Allen Hamilton

Cyber Security Architect

Pensacola, FL · On-site

$112K - $257K/yr

Experience with innovative Cybersecurity capabilities, including A&O, AI and machine learning, NGFW ... as well as contract-specific affordability and organizational requirements. The projected ...

All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Pensacola, FL

Contract Meta Machine Learning information

See Pensacola, FL salary details

$14

$20

$24

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

As of Sep 7, 2026, the average hourly pay for contract meta machine learning in Pensacola, FL is $20.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $21.59 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 Pensacola, FL?

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

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

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

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

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

Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Pensacola, FL as of June 2026, with employment types broken down into 40% Full Time, 57% Part Time, and 3% Temporary. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $41,939 per year, or $20.2 per hour.

Senior Data Scientist (Security Clearance Required)

ICF

Pensacola, FL • On-site

Full-time

Re-posted 15 days ago

Job description

ICF seeks an experienced and cleared Senior Data Scientist to support the research and development of new cyber analytic capabilities that will help the US protect and defend its networks and critical information systems. This position will support a large federal cyber security analytic program. The work will contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate. Utilize your skills to help experiment and prototype future cyber capabilities for implementation at large-scale.

As the Senior Data Scientist, this role will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms. The ideal candidate is strong mathematically; can automate scoring using machine learning techniques, build recommendation systems, and select the correct data points for analysis from large data sets. You are focused on results, a self-starter, and have demonstrated success using analytics to drive an understanding, growth, and success of the analysis. This is an opportunity to contribute to an important project from its beginning, work with the latest and emerging technologies, and all while building a great career at ICF!

This role is primarily telework-based with occasional meetings at client locations (Arlington, VA or Pensacola, FL) or ICF facilities within the Washington, DC metro area (DMV).

What You Will Be Doing:

  • Perform knowledge elicitation from customer subject matter experts and convert that to derived algorithms
  • Analyze large data sets to identify actionable insights with mathematical statistical rigor
  • Rigorously critique and correct intermediate results to improve the algorithmic outcomes
  • Design and deploy deep learning algorithms and predictive models
  • Develop custom data models and algorithms to apply to data sets
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Interpret and communicate results to non-technical customers

What You Must Have:

  • Active security clearance required as part of client contract requirement
  • US Citizenship required as part of client contract requirements
  • Bachelor's degree with a minimum of 12 years or Master's degree with 10 years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field
  • Position requires a minimum of 10 years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering
  • Strong experience using a variety of mathematical, statistical, data mining, and data analysis methods/tools

Preferred Skills/Experience:

  • Experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field
  • Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details
  • Experience in productization of machine learning algorithms and the ability to deliver data science components that are part of successful deliverables
  • Working knowledge of general machine learning algorithms and NLP, Graph Theory, and Network Analysis
  • Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)
  • Experience with statistical data analysis, experimental design, and hypotheses validation
  • Experience with database querying like SQL
  • Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products
  • Practical experience with the Databricks Intelligence Platform
  • CompTIA Security+ or higher certification level preferred

#ICFNS


Bot and Third-Party Applications

Please note that this application must be submitted directly by the applicant for consideration.Failure to do so may result in the application being excluded for consideration.Applicants needing an accommodation for disability or religious purposes in connection with the application process should contactCandidateaccommodation@icf.comfor assistance.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$131,256.00 - $223,134.00Virginia Client Office (VA88)

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