ML Engineer II — Operational ML & Deployment
tti groupSouth Milwaukee (WI)
ML Engineer II — Operational ML & Deployment
Posted yesterday
tti groupSouth Milwaukee (WI)
SENIORITY
Manager
About the role
Milwaukee Tool is seeking a Machine Learning Engineer II to design, develop, and deploy ML solutions that optimize manufacturing and service operations. You will work with operations, quality, supply chain, and engineering teams to implement data-driven solutions across global sites.
The role emphasizes end-to-end ML lifecycle, including data engineering, model development, and production monitoring on Azure and Databricks, with translation of complex ML work for non-technical audiences.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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