Machine Learning Engineer

Machine Learning Engineer

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, Inc. is seeking a Machine Learning Engineer with direct experience applying Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics to address difficult problem sets. The role will work closely with senior scientists to understand problem sets, physical data feature sets, and parameters. The successful candidate must demonstrate understanding of signal processing, data fusion, feature extraction, and be able to apply it towards 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 an equivalent 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.
• Experience mentoring 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.
• Ability to obtain and maintain a U.S. security clearance; U.S. citizenship required.

Qualifications Desired

• Master’s or Ph.D. degree in Machine Learning, Data Science, 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 (e.g. Docker/Kubernetes).
• Active TS/SCI clearance.

Work Location

Hybrid. Regular Full‑time.

Salary

$73,923.20 – $131,331.20 USD

Security Clearance

Ability to obtain and maintain a security clearance; U.S. citizenship required.

Benefits

ENSCO offers a comprehensive benefits package, including health, dental, vision, retirement plans, paid leave, and more. Benefits details are available on the company careers page.

Compliance Statements

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

ENSCO is a federal contractor and complies with Real ID and export control requirements.