Senior Machine Learning Engineer

Ensco, Inc.; Melbourne (FL); On-site; USD 110,000 - 145,000; Full time

Job summary

ENSCO, Inc. is seeking a Machine Learning Engineer to apply ML/DL models, data analytics, and feature extraction to challenging problems. You will work with senior scientists to understand data, design experiments, and evaluate algorithm performance on large datasets.

The role requires a minimum of 5 years in ML/DS, Python/Matlab proficiency, and experience with DL frameworks such as PyTorch or TensorFlow. U.S. citizenship and ability to obtain a security clearance are required.

Qualifications

• Bachelor's degree in Machine Learning, Data Science, Mathematics, or related discipline; military experience considered.
• Minimum of 5 years related industry experience in machine learning, data science, and analytics.
• Proven track record of successful data science and algorithm implementation.
• Provide mentorship to junior ML engineers.
• Self-starter with excellent oral and written communication skills.
• Experience navigating and programming within the Linux environment.
• Experience working with structured and unstructured databases.
• Advanced proficiency with data science languages (e.g. Python, Matlab).
• Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
• Experience working with large data sets and ability to extract relevant information from data sets.
• US citizenship and ability to obtain security clearance.

Responsibilities

• Understand problem sets with senior scientists and define data feature sets and parameters.
• Build datasets and design controlled experiments to assess algorithm performance.
• Apply ML/DL solutions for mission systems, including data fusion and feature extraction.
• Mentor junior ML engineers and communicate findings clearly.

Skills

Machine Learning

Data Science

Python

Matlab

Deep Learning

PyTorch

TensorFlow

Keras

scikit-learn

MXNet

Linux

Data Analysis

Communication

Mentorship

Docker/Kubernetes

CI/CD

Education

Bachelor's in Machine Learning/Data Science/Mathematics or related field

Tools

Docker

Kubernetes

Job description

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide.

ENSCO prides itself in creating and applying advanced technologies for mission success. We provide systems engineering, integration, and advanced technology services to transform the future safety, security, and resiliency of critical missions on the ground, in the air, in space, and in the information systems that connect these domains.

Learn more about ENSCO.

Position Description

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets. Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters. The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions. Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.

ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security. A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.

Qualifications Required:

• Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline. Direct relevant military experience will also be considered.
• Minimum of 5 years related industry experience in machine learning, data science, and analytics.
• Proven track record of successful data science and algorithm implementation.
• Provide mentorship to junior ML engineers.
• A self-starter with excellent oral and written communication skills.
• Experience navigating and programming within the Linux environment.
• Experience working with structured and unstructured databases.
• Advanced proficiency with data science languages (e.g. Python, Matlab,
• Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
• Experience working with large data sets and ability to extract relevant information from data sets.
• The ability to obtain and maintain a US security clearance is required for this position, for which you must be a U.S. Citizen

Qualifications Desired:

• Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
• Experience with ML/DL algorithms extracting signal from noise.
• Past experience being able to develop solutions using disparate data sets through ML techniques.
• DevOps experience involving CI/CD pipelines to build and deploy.
• Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
• An Active TS/SCI clearance.

Required Certifications: None

U.S. Citizenship Required: Yes

Security Clearance Required: Ability to Obtain

Employment Type: Regular Full-time

Background Check Type: 7 Year Pre-Employment

Drug Screen Required: None

Position Contingent Upon Contract Award: Yes

Salary Range

$110,000 — $145,000 USD

REAL ID Requirement

This position may require the ability to access to U.S. federal facilities. In accordance with the Department of Homeland Security's enforcement of the REAL ID Act, as of May 7, 2025, individuals must present a REAL ID-compliant form of identification or an acceptable alternative to gain entry. For a list of acceptable forms of identification, please click here.

Benefits

At ENSCO, a positive working environment and a competitive salary are only part of the reason for choosing a career here. We offer a comprehensive benefits package that creates a stimulating and supportive environment where you can thrive - visitensco.com/careers/benefits to learn more.

Export Control and Licensing

This position may involve access to technology or technical data that is controlled under U.S. export control laws and regulations and the release of which to a non US person may require an export license from the U.S. Government.

Privacy

Your data privacy is important to ENSCO. Please click here to view our privacy policy. California residents can click here to view your California privacy rights.

EEO Statement

ENSCO, Inc. and its wholly owned U.S. subsidiaries are Equal Opportunity Employers- veterans, disability