Senior Machine Learning Engineer

Salary: $100,000 - 160,000 per year Requirements: Bachelors degree in Machine Learning, Data Science, Mathematics, or a related field, with relevant military experience consideredAt least 5 years of industry experience in machine learning, data science, and analyticsProven experience with successful implementation of data science and algorithmsAbility to mentor junior ML engineersHighly motivated with strong oral and written communication abilitiesProficient in navigating and programming in a Linux environmentFamiliarity with both structured and unstructured databasesAdvanced skills in data science programming languages (e.g., Python, Matlab)Experience with Deep Learning frameworks (e.g., PyTorch, TensorFlow/Keras, scikit-learn, MXNet)Able to work with large datasets and extract pertinent informationActive Secret clearance required, must be a U.S. Citizen Responsibilities: Collaborate closely with senior scientists to comprehend complex problem sets and data parametersUtilize machine learning and deep learning models to solve challenging issuesAssess and enhance algorithm performance through dataset creation and execution of controlled experimentsApply signal processing, data fusion, and feature extraction techniques for advanced ML and DL solutionsIntegrate innovative algorithms within multipurpose datasets for national safety and security initiatives Technologies: KerasLinuxMachine LearningMatlabPyTorchPythonSecurityTensorFlowCI/CDDevOpsDockerKubernetes More: At ENSCO, we have been leading the way in engineering, science, and advanced technology solutions for over 50 years, serving various governments and private industries worldwide. Our Mission Systems Group is dedicated to creating cutting-edge products and services crucial for national safety and security. We foster a supportive and dynamic work environment offering competitive salaries and a comprehensive benefits package, allowing our team members to thrive in their roles. This position offers a hybrid work location, contributing to a flexibility that aligns with modern work practices. last updated 15 week of 2026