Machine Learning Engineer

About ENSCO

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.

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.

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 scientists to understand problem sets, physical data feature sets and parameters
• Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments
• Provide mentorship to junior ML engineers

Required Qualifications

• Bachelor's degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline (direct relevant military experience will also be considered)
• Minimum of 3 years related industry experience in machine learning, data science, and analytics
• Proven track record of successful data science and algorithm implementation
• 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
• Demonstrated understanding of signal processing, data fusion, and feature extraction
• The ability to obtain and maintain a US security clearance is required for this position; you must be a U.S. Citizen

Desired Qualifications

• Master's or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent
• Experience with ML/DL algorithms extracting signal from noise
• Past experience developing 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

Employment Details

Work Location Type: Hybrid

Employment Type: Regular Full-time

Position Contingent Upon Contract Award: Yes

Required Certifications: None

U.S. Citizenship Required: Yes

Security Clearance Required: Ability to obtain

Background Check Type: 7 Year Pre-Employment

Drug Screen Required: None

Compensation

Salary Range: $72,820.80–$131,331.20 USD

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.

REAL ID Requirement

This position may require the ability to access 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.

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.

Equal Opportunity

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