Senior Machine Learning Engineer

ENSCO, Inc. is seeking a Sr. Machine Learning Engineer with direct experience in developing and applying Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics to address complex problem sets. The successful candidate will work closely with senior scientists to understand problem sets, physical data feature sets and parameters. The role requires proficiency in signal processing, data fusion, feature extraction, and the ability to apply these techniques toward ML and DL solutions. Responsibilities include building datasets, designing and executing well-controlled experiments, and assessing algorithm performance of features. Qualifications Required

• Bachelor's degree in Machine Learning, Data Science, Mathematics, or a related discipline (direct relevant military experience 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.
• Experience mentoring 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 (eg, Python, Matlab).
• Demonstrated experience with Deep Learning frameworks (eg, PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
• Experience working with large data sets and ability to extract relevant information from them.
• Active Secret clearance and U.S. Citizenship required.

Qualifications Desired

• Master's or Ph.D. degree in Machine Learning, Data Science, or Mathematics, or equivalent.
• Experience with ML/DL algorithms extracting signal from noise.
• Experience developing solutions using disparate data sets through ML techniques.
• DevOps experience involving CI/CD pipelines to build and deploy.
• Experience with container orchestration technologies (eg, Docker/Kubernetes).
• Active TS/SCI clearance., This position may require the ability to access U.S. federal facilities. 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 refer to the Department of Homeland Security's REAL ID guidance.

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 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, Inc. and its wholly owned U.S. subsidiaries are Equal Opportunity Employers- veterans, individuals with disabilities, and all applicants regardless of protected status. We do not discriminate on the basis of any protected group status under any applicable law.