ID: 49054 Title: Senior ML/GenAI Ops Engineer - Milwaukee, WI Job Function: Digital... ...Harley-Davidson, we are building more than machines. It’s our passion and commitment to... ...and deploying & operationalizing mac…
Engineering & IT · Milwaukee, WI
Machine Learning Engineer jobs in Milwaukee, WI
Machine learning engineers take models from notebook to production — building training pipelines, serving infrastructure, and monitoring so ML systems keep working after launch.
113
Open roles today
$41–$105/hr
Typical pay range
$140k
Median, full-time
4
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Open machine learning engineer roles
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Thomson Power Systems, a Regal Rexnord company, is seeking a Sales Engineer for the Data Centers vertical. This 100% remote role reports to the Senior Manager, Business Development and covers the U.S. market with up to 5…
$113.92k - $222.3k
The Senior Data Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin will apply engineering best practices in order to analyze, design, develop, deploy and support software solutions. Develop so…
$77.8k - $120.6k
Auto req ID: 45284 Title: Facilities Engineer- Museum Job Function: Human Resources... ...Harley-Davidson, we are building more than machines. It’s our passion and commitment to continue... ...on products and accessories…
capabilities Coordinate with Product, Business Development, ML Engineering, and IT to bring new data science products to market Drive... ...building traditional AI/ML models (supervised, unsupervised learning, deep learn…
Description Job Description CNC Laser Systems Field Service Engineer Department: Laser Service Location: Milwaukee, WI What... ...efficiency. Qualifications Hands-on familiarity with machining, manufacturing workflows, o…
$117.5k - $249.78k
traditional AI/ML models, including supervised learning, unsupervised learning, model validation... .... We need familiarity with software engineering best practices such as Git, unit testing... ...Linux Python SQL LESS…
Lead Machine Design Engineer (Brown Deer / Northern Milwaukee Area) Up to $120,000 Base Salary • Brown Deer, WI Area • 100% Onsite • Full Benefits EXPERIENCE: 5–10 years of direct experience in heavy, custom machine desi…
$49 - $59 per hour
Lead Automation Commissioning & Robotics Field Engineer (OEM) $49.00 - $59.00 / Hour Base + Overtime Potential • Milwaukee, WI Area • First Shift • Full Corporate Benefits · CAREER DEPTH: 5 to 8+ years of dedicated hands…
$49 - $59 per hour
Lead Machine Design Engineer – Robotics & Automation Up to $120,000 Base Salary • Brown Deer, WI Area • 100% Onsite • Full Benefits SOFTWARE: Advanced, expert-level SolidWorks fluency required (large assemblies & configu…
$45 - $55 per hour
Position Overview We are seeking a highly skilled Field Service Engineer to install, commission, maintain, and troubleshoot industrial material handling and process equipment at customer manufacturing facilities across N…
$70k - $100k
The Field Engineer supports on-site construction activities for commercial projects, ensuring work is completed safely, on schedule, within budget, and in compliance with plans and specifications. This role works closely…
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What machine learning engineers earn in Milwaukee
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $41–$57 | $86k–$119k |
| Mid level | $57–$78 | $119k–$162k |
| Senior | $75–$105 | $157k–$218k |
Adjusted for the Milwaukee market from national ranges.
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What employers ask for
The skills these listings keep naming
Python and software engineeringPyTorch or TensorFlowML fundamentals and evaluationModel serving and APIsMLOps (tracking, registries, CI)Docker and KubernetesData pipelines and feature storesLLM fine-tuning and RAG (a plus)Monitoring and drift detection
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Interview questions worth rehearsing
With the thing the interviewer is actually listening for
Walk me through taking a model from prototype to production.
Cover data pipelines, training reproducibility, serving, and monitoring. Emphasize that the model is a small part of the system — that framing is the job.
How do you monitor a model in production?
Discuss input drift, prediction distributions, delayed labels, and business metrics — plus what triggers retraining. Mention that silent degradation is the default failure mode.
How would you reduce inference latency or cost for a large model?
Options include distillation, quantization, batching, caching, and smaller models. Frame it as measuring first, then choosing the cheapest acceptable quality tradeoff.
Tell me about a time a model failed in production. What happened?
A real story about skew, drift, or a data bug — with detection and prevention — is far more convincing than claiming smooth deployments.
How do you evaluate a model beyond accuracy?
Talk about the metric matching the business cost of errors, slicing by segment, and offline-online gaps. Naming a case where accuracy misled is a strong touch.
When would you fine-tune an LLM versus use retrieval or prompting?
Start cheap: prompting, then RAG for knowledge, fine-tuning for behavior and format. Cost and maintenance burden should drive the answer.
How do you make training reproducible?
Version code, data, and config; track experiments; pin environments. This is engineering discipline applied to ML, which is exactly the role.
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Resume tips that move the needle
For machine learning engineers specifically — generic advice costs you here
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Center bullets on production systems: models served, request volume, latency, and the business metric they moved.
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Show software engineering credentials explicitly — testing, CI, code review — since MLE hiring filters hardest on engineering rigor.
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Name the MLOps tooling you have run (MLflow, SageMaker, Kubeflow, vector databases) as these are common screens.
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Include LLM work with specifics — fine-tuning, RAG, evaluation — if you have it; vague 'GenAI experience' claims read poorly.
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Distinguish your role on shared projects: built the serving layer, owned the pipeline, or trained the model.
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Where this role goes
Typical progression
01
ML Engineer
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Senior ML Engineer
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Staff ML Engineer
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ML Platform Lead
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