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Machine Learning Engineer New Grad Jobs in Fort Walton Beach, FL

Data Architect

Fort Walton Beach, FL · On-site

$52.25 - $67.25/hr

Verifiable work experience building large scale data workflows making data available to data engineers, data scientists, and machine learning engineers. * Experience creating, maintaining, and ...

This role requires a knowledge of programming, mathematical modeling, and statistics to carry out machine learning projects. Responsibilities include but are not limited to: * Quantitative analysis ...

... machine learning * Develop and deploy AI/ML models using popular frameworks such as TensorFlow ... Proficiency in one or more programming languages (e.g., Python, Java, Scala) * 6+ years of ...

Data Architect

Hurlburt Field, FL · On-site

$58.25 - $74.75/hr

Verifiable work experience building large scale data workflows making data available to data engineers, data scientists, and machine learning engineers. * Proficient in modeling frameworks like ...

Data Architect

Hurlburt Field, FL · On-site

$58.25 - $74.75/hr

Verifiable work experience building large scale data workflows making data available to data engineers, data scientists, and machine learning engineers. * Proficient in modeling frameworks like ...

Data Eng Sr

Fort Walton Beach, FL · On-site

$79K - $134K/yr

... machine learning * Develop and deploy AI/ML models using popular frameworks such as TensorFlow ... Proficiency in one or more programming languages (e.g., Python, Java, Scala) * 6+ years of ...

Showing results 21-40

Machine Learning Engineer New Grad information

See Fort Walton Beach, FL salary details

$25.9K

$105.8K

$158.9K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning engineer new grad in Fort Walton Beach, FL is $105,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $127,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Fort Walton Beach, FL?

For Machine Learning Engineer New Grad jobs in Fort Walton Beach, FL, the most frequently searched job titles are:

What cities near Fort Walton Beach, FL are hiring for Machine Learning Engineer New Grad jobs?

Cities near Fort Walton Beach, FL with the most Machine Learning Engineer New Grad job openings:

DevSecOps Platform Engineer

ManTech

Fort Walton Beach, FL • On-site

Full-time

Re-posted 14 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 244 rated software companies


Job description

Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***

MANTECH seeks a motivated, career and customer-oriented DevSecOps Platform Engineer to join our team in Tampa, FL.
 

The DevSecOps Engineer (Platform Team) will leverage their strong technical background and knowledge as a platform team developer responsible for developing and managing the CI/CD pipelines of a wide variety of applications. This role functions as a "generalist" on CI/CD pipeline and security requirements with strong knowledge of the platform as a whole to ensure the successful delivery of enterprise software solutions.
 

Responsibilities include but are not limited to:

  • Develop and manage infrastructure as code (IaC) using Terraform, Ansible, and/or AWS Cloud Formation Templates.

  • Provision and configure cloud service provider (CSP) systems including Google Cloud Provider (GCP), Microsoft Azure, and Amazon Web Services (AWS) to ensure reliable and scalable solutions.

  • Developing, testing, and maintaining containerized applications to support the Sponsor's system accreditation efforts.

  • Building and maintaining CI/CD pipelines for a large enterprise consisting of hundreds of applications using Jenkins, GitLab, or similar tools.

  • Implementing DevSecOps methodologies and managing source version control and build/release tools.

  • Supporting the software build process and ensuring all systems meet security-first requirements.

  • Maintaining system baselines and configuration management items, including security event monitoring policies for automated pipelines.

  • Recommending, and when approved, implementing process and policy improvements for pipeline efficiency and security.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Math, or a related field.

  • 5+ years of experience in software systems development and management.

  • Proficiency with Terraform, Ansible, and/or AWS Cloud Formation Templates.

  • Experience provisioning and configuring CSP systems (GCP, Microsoft Azure, AWS).

  • Experience deploying and configuring CSP SaaS offerings (API gateways, SaaS databases, etc.).

  • Knowledge of programming or scripting languages (Python, Bourne Shell, etc.).

  • Experience building CI/CD pipelines using tools like GitLab.

  • Proficiency in containerization with Docker, Podman, or Kubernetes.

  • Experience securing software through code and container scans.

Preferred Qualifications:

  • Experience with MLOps, including building and deploying machine learning models.

  • Knowledge of generative AI technologies.

  • Experience with SaaS AI tools such as AWS SageMaker.

  • Experience with network configuration and management.

  • Understanding of Zero Trust security principles.

  • Experience with the Sponsor's primary cyber risk and compliance automation tools.

Clearance Requirements:

  • Must have an Secret with the ability to obtain and maintain TS/SCI.

Physical Requirements:

  • Must be able to remain in a stationary position 50%.

  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc..

  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.

  • Must be able to exchange accurate information in these situations.


MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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