ENSCO, Inc.
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.
Position Description
ENSCO, Inc. is seeking a Junior 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 2 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.
• 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.
Work Location Type: Hybrid
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
To apply for this job please visit job-boards.greenhouse.io.
Explore ENSCO, Inc. online
Working in Melbourne, Australia
Melbourne is the capital and most populous city of the Australian state of Victoria and the second most-populous city in Australia. The city's name generally refers to a 9,993-square-kilometre (3,858 sq mi) area, comprising an urban agglomeration of 31 local government areas. The name is also used to specifically refer to the local government area named City of Melbourne, whose area is centred on the Melbourne central business district and some immediate surrounds.
Market context
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