> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Machine Learning Engineer II - Operations Canonical URL: https://nextmove.md/fde/jobs/766327d36ab0dbdc Milwaukee Tool posts a FDE role to build for teams inside the company in Milwaukee, WI with no pay posted. Machine Learning Engineer II responsible for designing, deploying, and supporting production ML solutions across Milwaukee Tool’s global manufacturing, service, quality, and supply chain operations. Read from the employer’s posting on November 8, 2026. - [Milwaukee Tool](https://nextmove.md/fde/companies/milwaukee-tool) First seen Sep 23, 2026 · open on Workday as of Nov 8, 2026 Pay not posted Milwaukee, WI Machine Learning Engineer II responsible for designing, deploying, and supporting production ML solutions across Milwaukee Tool’s global manufacturing, service, quality, and supply chain operations. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F766327d36ab0dbdc&placement=top) - [View posting at Milwaukee Tool](https://tti.wd1.myworkdayjobs.com/Milwaukee/job/Milwaukee-WI/Machine-Learning-Engineer-II---Operations_R77843) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay Not posted Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds for teams inside the company Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations Travel **Up to 20%** - **Coding**: Writes production code - **Builds for**: Internal teams - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **1+ years** hands-on experience applying machine learning principles and algorithms to dynamic, real-world problems - **3+ years** hands-on experience applying machine learning principles and algorithms to dynamic, real-world problems *Preferred* Visa - **No visa sponsorship** ### Do you meet what the posting states? The posting asks for 1+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in Milwaukee, WI. Could you work there? The posting says no visa sponsorship. Do you need one? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: Milwaukee, WI - **Visa sponsorship**: Not available - **Travel**: Up to 20% ## More like this [Generac](https://nextmove.md/fde/companies/generac) ### [AI Application Engineer](https://nextmove.md/fde/jobs/9f733cf879f98eae) Waukesha, WI 2mo ago Pay not posted [Hertz Global Holdings](https://nextmove.md/fde/companies/hertz-global-holdings) ### [AI Solutions Engineer](https://nextmove.md/fde/jobs/098d6919516c0b20) Estero, FL 3w ago From $90,000 [SK Life Science, Inc.](https://nextmove.md/fde/companies/sk-life-science-inc) ### [AI Engineer, Business Operations](https://nextmove.md/fde/jobs/f20c50efac164abd) Paramus, NJ 2w ago $135,000–$160,000 ## The job description from Milwaukee Tool ### Job Description Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. * **Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time. *** At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to drive disruptive new technologies and solutions across our operations teams. Our Operations Teams are responsible for the manufacturing, service, supply chain, and quality systems that bring our products to life and into the hands of our users. We continue to invest in advanced analytics, machine learning, and AI capabilities to transform how we run our plants, optimize production, and anticipate issues before they reach the line. We’re pushing the limits in data engineering, deep learning, and generative AI applied to real-world manufacturing problems. ### Your role on our team As a Machine Learning Engineer II, you will design, develop, and deploy machine learning solutions that improve how Milwaukee Tool manufactures and services products. Working cross-functionally with operations, quality, supply chain, engineering, and service teams, you will develop and implement data-driven solutions that address real-world business and operational challenges globally. You will contribute to the full machine learning lifecycle, from data engineering and model development to deployment and monitoring on Azure and Databricks. A key aspect of this role is partnering with our Global and Service Teams to deploy, validate, and support machine learning solutions in operational environments, ensuring models deliver measurable value where they are used. This role is ideal for a self-motivated engineer who thrives in a fast-paced environment, communicates effectively across technical and non-technical teams, and takes ownership of delivering impactful, production-ready solutions. ### What TOOLS you’ll bring with you - Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline. - Completed course work or specialization in Machine Learning and/or Data Science using one or more deep learning frameworks (PyTorch, TensorFlow, Keras, etc). - At least one year of hands-on experience applying machine learning principles and algorithms to dynamic, real-world problems. - Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization). - Demonstrated experience with machine learning and AI methods such as CNNs, transformers, or computer vision. - Proficiency in big data transformation using Spark, SQL, and Python (NumPy, pandas, scikit-learn, Matplotlib). - Sold mathematical foundation in statistics, linear algebra, calculus and optimization. - Experience working with ML deployments using CI/CD pipelines (Azure, Databricks, MLFlow) and edge devices (GPU, Containerization, Linux). - Excellent problem-solving and technical communication skills translating complex ML deployments into language that non-technical audience can understand. - Experience collaborating with global teams, including a willingness to adjust working hours to accommodate international time zones and ensure project alignment. - Ability to travel up to 20% of the time (domestic and international). ### Other TOOLS we prefer you to have - Master’s degree or PhD in Machine Learning or related field is preferred. - At least three years of hands-on experience applying machine learning principles and algorithms to dynamic, real-world problems. - Experience with time-series modeling for use cases such as demand forecasting, predictive maintenance, yield prediction, or process anomaly detection. - Experience with computer vision for use cases such as defect detection, missing part detection, part quality inspection, part counting, etc. - Proven track record of developing, deploying, and scaling AI or ML solutions tied to measurable operations outcomes (e.g. scrap reduction, throughput, OEE, on-time delivery, inventory turns). - Desktop application or Web app development experience (e.g. building tools or UIs that put models in the hands of plant and operations users). - Hands-on data engineering experience building pipelines on Databricks/Spark against large operational datasets (MES, ERP, SCADA, IoT/Sensor Telemetry). - Experience applying generative AI or LLMs to operations problems such as knowledge retrieval, document processing, or assistive tooling for plant teams. - Experience in developing, maintaining and using MLOps pipelines and ensure efficient deployment, monitoring, and scaling of ML models in production. - Experience developing and deploying machine learning algorithms to edge environments. ### We provide these great perks and benefits - Robust health, dental and vision insurance plans. - Generous 401 (K) savings plan. - Education assistance. - On-site wellness, fitness center, food, and coffee service. - And many more, check out our benefits site HERE. *Milwaukee Tool is an equal opportunity employer.* [View posting at Milwaukee Tool](https://tti.wd1.myworkdayjobs.com/Milwaukee/job/Milwaukee-WI/Machine-Learning-Engineer-II---Operations_R77843) ## About Milwaukee Tool Designs and manufactures professional-grade cordless power tools and equipment for the construction, plumbing, and electrical trades, sold exclusively through The Home Depot in big-box US retail. Acquired · 5000+ people ## Similar jobs [Worldwide Clinical Trials](https://nextmove.md/fde/companies/worldwide-clinical-trials) ### [AI Forward Deployed Engineer - Finance-focused (US)](https://nextmove.md/fde/jobs/73308fed2f1ac7f2) Research Triangle Park, NC · Portland, OR · +6 more Remote 4w ago $121,500–$240,500 [Atoms](https://nextmove.md/fde/companies/atoms) ### [Senior Software Engineer – Bionic Enterprise Platform](https://nextmove.md/fde/jobs/7bc72683e244121f) Mountain View, CA · San Francisco, CA On-site 2w ago $176,000–$242,000 [MeridianLink](https://nextmove.md/fde/companies/meridianlink) ### [Sr AI Architect - Internal Business Applications](https://nextmove.md/fde/jobs/6ccb6e8f65dcd77e) US Remote 4w ago $150,000–$200,000 [fluent](https://nextmove.md/fde/companies/fluent) ### [Software Engineer (AI Agents)](https://nextmove.md/fde/jobs/aec65b08f12c40ef) US Remote New · 2d ago $130,000–$155,000 [HealthEdge](https://nextmove.md/fde/companies/healthedge) ### [Machine Learning Engineer](https://nextmove.md/fde/jobs/9f08393ed5502c5a) US Remote 2w ago Up to $135,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs that build for teams inside the company](https://nextmove.md/fde/jobs?role=internal-deployment) Hiring at Milwaukee Tool and want this page changed or removed? 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