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Artificial Intelligence Machine Learning Engineer Jobs in Lincoln, NE

penlink

AI Engineer

Lincoln, NE · On-site +1

You'll partner closely with product, design, and engineering to turn business needs into reliable ... Research, fine-tune, and deploy machine learning and large language models to support business and ...

U.S. Navy

Linguist

Eagle, NE

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

U.S. Navy

Linguist

Lincoln, NE

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

U.S. Navy

Linguist

Crete, NE

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Lincoln, NE

Artificial Intelligence Machine Learning Engineer information

See Lincoln, NE salary details

$27.4K

$112.1K

$168.5K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for artificial intelligence machine learning engineer in Lincoln, NE is $112,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,400.00 and $134,900.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Lincoln, NE?

For Artificial Intelligence Machine Learning Engineer jobs in Lincoln, NE, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Lincoln, NE look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Lincoln, NE are:

What cities near Lincoln, NE are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Lincoln, NE with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Lincoln, NE as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $112,108 per year, or $53.9 per hour.

AI Engineer

penlink

Lincoln, NE • On-site, Remote

Full-time

Re-posted 18 days ago

Job description

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.

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