MLOPs Engineer
Company: Lockheed Martin
Location: Fort Worth
Posted on: February 22, 2026
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Job Description:
Lockheed Martin, a leader in advancing global security and
aerospace, is seeking a skilled MLOps Engineer to join our IT &
Data Management team. The successful candidate will play a pivotal
role in bridging the gap between Machine Learning (ML) systems and
operations (Ops), ensuring the design, construction, integration,
and maintenance of ML systems in production environments align
seamlessly with our ethical and innovative technology solutions. At
Lockheed Martin, we pride ourselves on fostering an inclusive
environment that encourages teamwork and continuous improvement.
The MLOps Engineer will contribute to these principles by ensuring
our ML solutions are scalable, reproducible, and maintainable.
Develop reliable and scalable machine learning automation processes
to support system development lifecycles. Collaborate with ML
researchers and data scientists to transition algorithms into
operational systems. Ensure continuous integration and deployment
of ML models and systems, incorporating best practices in
monitoring, verification, and security. Manage infrastructure and
data pipelines necessary for the deployment and operation of
machine learning applications. Advocate and implement best
practices in ML lifecycle management including version control,
testing, and release methodologies. Expertise in machine learning,
data engineering, and software development. Strong proficiency in
programming languages such as Python or Java. Experience with ML
frameworks (e.g., TensorFlow, PyTorch) and MLOps tools (e.g.,
Kubeflow, MLflow). Knowledge of Docker, Kubernetes, and other
container orchestration technologies. Ability to work
collaboratively in a team-oriented environment. Medical Insurance
Dental Insurance Vision Insurance Life Insurance 401k Certified
Kubernetes Administrator (CKA) recommended. Certification in
TensorFlow or PyTorch is a plus.
Keywords: Lockheed Martin, Mansfield , MLOPs Engineer, IT / Software / Systems , Fort Worth, Texas
