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 DescriptionENSCO, 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
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 - visit ensco.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
Skills Required
- Bachelor's degree in Machine Learning, Data Science, Mathematics, or a related discipline; equivalent relevant military experience may be considered.
- Minimum of 5 years of related industry experience in machine learning, data science, and analytics.
- Proven track record of successful data science and algorithm implementation.
- Ability to mentor junior machine learning engineers.
- Excellent oral and written communication skills.
- Experience navigating and programming within a Linux environment.
- Experience working with structured and unstructured databases.
- Advanced proficiency with data science languages such as Python and MATLAB.
- Experience with deep learning frameworks such as PyTorch, TensorFlow/Keras, scikit-learn, or MXNet.
- Experience working with large datasets and extracting relevant information.
- Ability to obtain and maintain a U.S. security clearance.
- U.S. citizenship.
- Master's or PhD degree in Machine Learning, Data Science, Mathematics, or an equivalent field.
- Experience developing machine learning and deep learning algorithms to extract signal from noise.
- Experience developing solutions from disparate datasets using machine learning techniques.
- DevOps experience with CI/CD pipelines for building and deploying solutions.
- Experience with container orchestration technologies such as Docker or Kubernetes.
- Active TS/SCI security clearance.
What We Do
ENSCO, Inc., and its wholly owned subsidiaries, represent a more than $190+ million international technology enterprise with 750+ employees headquartered in the Washington, D.C., area. For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide. ENSCO operates in the aerospace, national security, and surface transportation sectors. ENSCO serves customers in cutting-edge, mission-critical environments where safety, security, reliability, and resilience are of paramount importance. ENSCO field offices and subsidiaries, representatives and partnerships are located throughout the United States and around the world.
