1327 Machine Designer Engineer jobs in Milwaukee,WI

New, Posted 2 hours ago

Programmer Machinist

Harken

Brookfield, WI 53008

New, Posted 2 hours ago

Tool Room Machinist - Die Maker

Precision Gears

Elm Grove, WI 53122

Easy Apply

Electrical Product Assembler - 2nd & 3rd Shift

Adecco

Waukesha, WI 53188

$30.71/hr

~ 26 min Onsite

High school diploma, GED, or equivalent.
Ability to safely work at heights of up to approximately 25 feet.
Ability to read and interpret engineering drawings, bills of materials, work instructions, and technical specifications to ensure accurate assembly.
Strong mechanical aptitude and spatial reasoning skills.
Proficiency using industrial hand tools, torque tools, hydraulic equipment, lifting devices, and powered material-handling equipment.
Ability to safely maneuver large components using mechanical lifting equipment.
Frequent standing, walking, bending, reaching, climbing, pushing, pulling, and lifting.
Ability to wear required personal protective equipment throughout the work shift.

SmartExplore AI is experimental.

Jobcase

Service Technician, Apprentice

Gosiger

Brookfield, WI 53005

$26-$32/hr

New, Posted 10 hours ago

Senior Software Engineer

Northwestern Mutual Careers

Milwaukee, WI 53215

Flexible Schedule

Assistant Director, Software Engineering-Real Estate

Northwestern Mutual

Milwaukee, WI 53215

Flexible Schedule

New, Posted 14 hours ago

Jobcase

Mechanic - 2nd Shift

Masterson Foods

Milwaukee, WI 53202

New, Posted 3 hours ago

Easy Apply

Manufacturing Lead

Saelens Corporation

Milwaukee, WI 53224

Onsite

Manufacturing Lead
Location: Milwaukee, WI
Employment Type: Monday through Friday. Flexible, plus some weekends as needed.
Authorization: Applicants must be authorized to work in the U.S. without sponsorship.
Proven experience as a CNC Operator.
Strong troubleshooting and problem-solving skills.
Proficient in CNC machine setups and operations.
Excellent leadership and communication abilities.
Ability to work effectively in a team-oriented environment.
Attention to detail and commitment to quality.

SmartExplore AI is experimental.

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Sr. Software Engineer

Johnson Controls

Glendale, WI 53209

OnsiteHealth InsurancePaid Time OffRetirement Benefit

We are looking for a senior engineer who has shipped AI/ML and GenAI systems in production and can operate as a technical leader within a product scrum team.
7+ years of software engineering experience, with at least 5 years building and deploying AI/ML systems in production
Hands-on experience with the full ML lifecycle: data preparation, model training, evaluation, deployment, monitoring, and retraining
Strong foundation in machine learning fundamentals — supervised/unsupervised learning, time-series modeling, anomaly detection, and predictive analytics
Proficiency in Python and relevant ML frameworks (PyTorch, TensorFlow, scikit-learn, or equivalent)
Experience with MLOps tooling: experiment tracking, model registries, deployment pipelines, and observability
Hands-on experience building production applications across multiple LLM providers (e.g., Anthropic, OpenAI, AWS Bedrock, Azure OpenAI, and open-source models)
Working knowledge of RAG architectures, vector databases, embedding pipelines, and retrieval strategies
Experience with agentic frameworks, multi-agent orchestration, and tool-calling patterns — including emerging standards like Model Context Protocol (MCP) (e.g., LangGraph, CrewAI, LlamaIndex, or custom implementations)
Strong evaluation discipline: ability to design, run, and reason about LLM evaluation pipelines — including eval datasets, LLM-as-judge techniques, and regression testing for prompts and model behavior
Experience with LLM observability and tracing — instrumenting model calls, tool calls, and retrievals in production (e.g., LangSmith, LangFuse, or OpenTelemetry GenAI conventions)
Strong software engineering fundamentals: clean code, system design, API development, and distributed systems
Experience with cloud platforms (Azure preferred) and containerized deployment (Docker, Kubernetes)
Comfortable working in an agile scrum team — shipping iteratively, participating in design reviews, and writing code others can maintain
Ability to communicate technical concepts clearly to non-technical stakeholders and influence product decisions with data