> Markdown version of [/jobs/ext/4702974-a-ai-machine-learning-engineering-e2](https://www.wearedevelopers.com/jobs/ext/4702974-a-ai-machine-learning-engineering-e2). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # A/AI Machine Learning Engineering - E2 - **Company:** Lockheed Martin - **Location:** Herndon, VA, United States - **Salary:** $91,200 - $169,400 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Unit Testing, Cloud Computing, Computer Programming, Computer Engineering, Software Debugging, DevOps, Python (Programming Language), Machine Learning, Scrum Methodology, Tensorflow, Software Engineering, Software Systems, Pytorch, Deep Learning, Keras, Agentic-AI, Containerization, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/a-ai-machine-learning-engineering-e2-herndon-va--5dceb64c-30e3-4887-8e63-0ae5df9cf5da ## About the Role Machine Learning, Artificial Intelligence (AI), Corporate Social Responsibility, Physics, Data Science, Software Development, Cross-Functional, Machine Learning, Artificial Intelligence (AI), Mathematics, * Bachelor''s degree in a STEM discipline (e.g. Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or equivalent combination of education, training, and experience in a related technical field. * Experience with machine learning concepts and algorithms * Strong Python and other programming skills * Strong collaboration and communication skills * Experience with agile software development methodologies (e.g. Scrum, Kanban) Desired Skills * Experience in Artificial Intelligence, Machine Learning, Deep Learning, Agentic AI, Computer Vision, or Image Processing * Experience with TensorFlow, PyTorch, Keras, or Scikit-learn * Experience with Cloud and cloud native technologies like AWS and Kubernetes * Experience with MLOps or DevOps and CI/CD processes * Experience with unit testing and debugging techniques * Expertise in integrating disparate software systems * Problem-solving skills, with the ability to debug complex issues #LMSpaceAI