Top 13 Machine learning engineer Jobs in Lincoln Ne

AI Engineer
penlink —Lincoln, NE
- Hybrid work
- Computer science
- Computer Science
- 5 years
Quick Apply
Backend Software Engineer - AI Trainer
DataAnnotation —Lincoln, NE
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
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Software Designer - AI Trainer
DataAnnotation —Lincoln, NE
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
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Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
CVS Health —Lincoln, NE
- $83,430 - $222,480 a year
- Full-time
- 3 years
- High school diploma or GED
- Bachelor's degree
- Health insurance
- Dental insurance
Manufacturing Process Engineer (Aerospace)
Kawasaki Rail Car Lincoln, Inc. —Lincoln, NE
- Full-time
- Mid-level
- Math
- Associate's degree
- Wellness program
- Paid holidays
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Analytics Engineer
S5 Stratos —United States
- Full-time
- Remote
- Background check
- Computer Science
- SQL
- Health insurance
- Dental insurance
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Senior Application Engineer (Remote)
Govcio LLC —United States
- $175,000 - $200,000 a year
- Full-time
- Remote
- Azure
- System design
- 11+ years
3d
Senior Data Engineer / Data Architect (Remote and W2)
Vibotek LLC —United States
- Contract
- Remote
- Computer Science
- HIPAA
- Mentoring
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PhD Engineer (Electrical, Mechanical, Chemical) - AI trainer
micro1 —United States
- $80 - $90 an hour
- Contract
- Remote
- No experience needed
- Analysis skills
- Doctor of Philosophy
- Flexible schedule

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Backend Software Engineer - AI Trainer
DataAnnotation —Lincoln, NE
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
$50 - $100 an hour
Quick Apply
Backend Software Engineer - AI Trainer
DataAnnotation —Omaha, NE
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
$50 - $100 an hour
Quick Apply

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AI Engineer

penlink
Lincoln, NE

Quick Apply

Job Details

Qualifications

AI models
Software engineering
Generative models
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Prompt engineering
Production systems
Machine learning cloud services
Machine intelligence
Model deployment
Developing large-scale AI models
Scalability
Engineering product development
Model training
System deployment
Machine learning libraries
Model evaluation
Machine learning frameworks
MLOps
Generative AI

Full Job Description

Penlink is a technology company bringing clarity to complex data for people who need it now. We partner with law enforcement agencies across the United States, offering a software solution to manage data and aid investigators solving crimes. It sounds like a lot of data and analytics, but really, it’s about improving the world and keeping safe the places we call home.

We focus on creating products that positively impact our communities and being "in the mission" and less about the laidback culture and amazing benefits – even though we offer those too. With our get it done attitude and focused mission we are growing at an unprecedented rate and are therefore seeking an AI Engineer to design, build, and ship AI-powered features in production. You’ll work across the stack from prompt design and model integration to evaluation, deployment, and optimization. You’ll partner closely with product, design, and engineering to turn business needs into reliable AI systems.

This role is a great fit if you enjoy working at the intersection of applied machine learning and product engineering, and you’re comfortable iterating in a space where the tools and best practices are still evolving quickly.

YOUR RESPONSIBILITIES

Design, develop, and implement AI-powered features and applications
Research, fine-tune, and deploy machine learning and large language models to support business and product initiatives
Integrate AI models into existing applications and backend systems through APIs and scalable architectures
Build and maintain data pipelines, including collecting, cleaning, preparing, and validating datasets for model training and evaluation
Monitor, evaluate, and maintain model performance through testing, benchmarking, and performance metrics
Optimize AI systems for scalability, latency, reliability, and cost efficiency
Collaborate cross-functionally with Product, Design, and Engineering teams to translate business needs into practical AI-driven solutions
Contribute to continuous improvement efforts surrounding AI development processes, tooling, and best practices
Communicate AI capabilities, limitations, and recommendations clearly to both technical and non-technical stakeholders
Promote responsible AI practices by considering model bias, ethical implications, and system transparency throughout development

Requirements:

YOUR COMPETENCIES & EXPERIENCE

5+ years of professional software engineering experience, including hands-on experience building and deploying production AI or machine learning systems
Demonstrated experience delivering at least one AI-powered product or feature to end users in a production environment
Strong programming skills, particularly in Python
Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or JAX
Familiarity with large language model ecosystems and tools including prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) pipelines
Experience fine-tuning and evaluating machine learning or large language models
Knowledge of cloud platforms and deploying AI/ML solutions within scalable environments
Strong analytical and problem-solving skills with the ability to navigate ambiguity and rapidly evolving technologies
Excellent written and verbal communication skills, including the ability to explain AI concepts and model behavior to non-technical audiences
Understanding of AI limitations, bias mitigation, and ethical considerations related to machine learning systems
Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience

This position currently follows a hybrid schedule requiring two days per week in our Lincoln, Nebraska office. Onsite requirements may be adjusted based on business needs and company or departmental policy.

Quick Apply

Refine Your Search

machine learning engineer jobs in lincoln ne

AI Engineer

Backend Software Engineer - AI Trainer

Software Designer - AI Trainer

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

Manufacturing Process Engineer (Aerospace)

Analytics Engineer

Senior Application Engineer (Remote)

Senior Data Engineer / Data Architect (Remote and W2)

PhD Engineer (Electrical, Mechanical, Chemical) - AI trainer

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