672 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Texas at Austin
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Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program including athletic tickets Free access to UT Austin's
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childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program including athletic tickets Free
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access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program including athletic tickets Free access to UT Austin's libraries and
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Please visit our Human Resources (HR) website at https://hr.utexas.edu/ to learn more about the total benefits offered when you join our team! Purpose Responsible for assisting the Sous Chef in
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, and holidays Career growth & professional development Please visit our Human Resources (HR) website at https://hr.utexas.edu/ to learn more about the total benefits offered when you join our team
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options for medical and childcare expenses • Robust free training access through LinkedIn Learning plus professional conference opportunities • Tuition assistance • Expansive employee discount program
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services. We offer robust free training access through LinkedIn Learning, professional conference opportunities, and expansive employee discount program including athletic tickets. Free access to UT Austin's
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403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference
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& professional development Please visit our Human Resources (HR) website at https://hr.utexas.edu/ to learn more about the total benefits offered when you join our team! Purpose This position leads the daily
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, enabling AI-ready data platforms that support advanced analytics and machine learning use cases. Build robust and reusable ETL/ELT workflows using Databricks, Spark, Delta Lake, and Python to support batch