"ml ops" Jobs
2459 open tech roles matching “ml ops”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 2459 results
Join Fundamental as a DevOps Engineer to tackle technical challenges in AI infrastructure for enterprise decision-making.
Build specialized evals to improve answer quality across Perplexity's products in a high-impact data science role.
Join Harvey AI as a Legal Operations Project Manager to modernize legal operations using AI and best practices.
Design and build MaintainX’s end-to-end search and retrieval platform as a Senior Software Developer.
Join Halter as a Machine Learning Engineer to develop predictive systems that optimize agricultural operations.
Join Inferact as a Developer Relations Engineer to shape how developers learn and build with vLLM, the AI inference engine.
Join Affirm as a Senior Software Engineer to enhance the ML Feature Platform, impacting machine learning and decisioning capabilities.
Join Mind Robotics as an Application Engineer to build and productionize software for real-world industrial robotics applications.
Join Bloomreach as a Technical Product Marketing Manager to drive adoption of AI-driven personalization solutions.
Contribute to production features as a Software Engineering Intern at OpenGov, enhancing government software solutions.
Join Lab37 Robotics as a Data Engineer to build and maintain data pipelines for innovative robotic solutions in the food industry.
Define and drive the architectural vision for Lyra’s machine learning and generative AI technology landscape.
Conduct original research on large language models to advance understanding and routing optimization at OpenRouter.
Manage product and process initiatives for youth safety at Discord, focusing on detection and enforcement against child exploitation.
Drive research on Pegasus's complex problems in a hybrid role at a growing AI company focused on video understanding.
Lead a team in model risk and governance for a rapidly growing identity verification company with a focus on financial institutions.
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