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Remote Machine Learning Jobs in Omaha, NE (NOW HIRING)

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

Nebraska, Remote Categories: Information Technology Mutual Of Omaha is seeking an experienced ... This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI ...

micro1 AI

Domain Expert - (STEM PhD)

Omaha, NE · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

LLM Alignment Specialist - Engineering

Omaha, NE · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Omaha, NE · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Mutual of Omaha

Data Scientist

Omaha, NE · Remote

Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science ... A strong background in machine learning and statistical analysis, with the ability to validate ...

Mutual of Omaha

Principal Data Scientist

Omaha, NE · Remote

Remote Categories: Information Technology We're currently seeking a Principal Data Scientist ... Experienced in data science , machine learning techniques , and data engineering. Skilled at ...

ABB

OEM Sales Director-Machinery

Bennington, NE · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Harris

(Remote) Software Developer

Blair, NE · Remote

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed, approximately 10% for AGM in Eastern Nebraska. Candidates must hold a current, valid passport and be ...

Harris

(Remote) Software Developer

Blair, NE · Remote

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed, approximately 10% for AGM in Eastern Nebraska. Candidates must hold a current, valid passport and be ...

Harris

(Remote) Software Engineer

Blair, NE · Remote

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed, approximately 25%. Candidates must hold a current, valid passport and be legally eligible to travel ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Omaha, NE

Remote Machine Learning information

See Omaha, NE salary details

$24.4K

$40.7K

$84.2K

How much do remote machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote machine learning in Omaha, NE is $40,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Omaha, NE? The most popular types of Machine Learning jobs in Omaha, NE are:
What are popular job titles related to Remote Machine Learning jobs in Omaha, NE? For Remote Machine Learning jobs in Omaha, NE, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Omaha, NE look for? The top searched job categories for Remote Machine Learning jobs in Omaha, NE are:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Omaha, NE as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $40,736 per year, or $19.6 per hour.
AI Engineer - Remote

AI Engineer - Remote

Mutual of Omaha

Omaha, NE • Remote

Other

Retirement, PTO

Re-posted 15 days ago

Mutual Of Omaha rating

8.7

Company rating: 8.7 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

67th of 281 rated insurance

Job description

AI Engineer - Remote

Apply now Job no: 504788
Work type: Full Time Regular
Location: Nebraska, Remote
Categories: Information Technology

Mutual Of Omaha is seeking an experienced developer to lead the design and implementation of Machine Learning and generative AIapplications for our Workplace Solutions division. This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI, and DevOps who can seamlessly align technical solutions with business needs. You will champion strategic initiatives thatleverageanalytics and artificial intelligence to enhance customer experiences,optimizeoperations, and deliver business value through scalable, ethical technology solutions. 

 This role is essential in shaping our AI strategy and governance framework, enabling intelligent automation, machine learning operations, and integrated insights. You will drive this transformation by operationalizing AI to unlock actionable intelligence across the organization. We are looking for someone who can rapidly advance our GenAI capability. You'll bring seasoned critical thinking, mentor others, and act as a strong communicator with the business to drive adoption and impact. 

 WHAT WE CAN OFFER YOU: 

  • Estimated Salary (Levels have variable responsibilities and qualifications): 
  • Engineer II: $110,000 - $130,000, plus annual bonus 
  • Engineer III: $130,000 - $150,000, plus annual bonus 
  • 401(k) plan with a 2% company contribution and 6% company match 
  • Work-life balance with vacation, personal time, and paid holidays. Please see benefits and perks pagefor details. 
  • Applicants for this position must not now, nor at any point in the future, require sponsorship for employment. 

WHAT YOU'LL DO: 

  • Data and AI Architecture Leadership:Design, develop, and deploy AI and generative AI solutions, leveraging large language models to build and enable analytics, machine learning capabilities, and intelligent automation across the division. 
  • Strategy, Roadmap and Stakeholder Alignment: Collaborate with business leadership and enterprise architects to define a roadmap for ML and generative AI capabilities (e.g., LLM application patterns), focusing on platform modernization and governance aligned to measurable outcomes. 
  • AI Innovation & Prototyping: Build and iterate on AI/ML and generative AI proofs of concept (POCs), data/feature pipelines, and model workflows. Facilitate "what-if" exploration, whiteboarding, and design sprints to validate feasibility and business impact. Own solutions end-to-end from prototype through production rollout. 
  • Governance,Ethicsand BestPractices: Establish and uphold standards for quality,governance,ethical AI practices, and secure model deployment while promoting regulatory compliance and trust.Improve accuracy by employing systematic experimentation, prompt engineering, data and training versioning, and A/B testing to empiricallyoptimizemodel performance. Implement AIOps best practices to streamline the lifecycle of AI models. 
  • Mentorship & Enablement: Guide teams in adopting and building LLM-powered applications, including context engineering, orchestration patterns, and evaluation practices. Accelerate adoption by providing reusable templates and reference implementations that enable consistent, scalable delivery and stay current on advancements in GenAI/AI, cloud capabilities, and emerging best practices. 
  • Collaboration & Integration: Integrate data solutions with microservices, event-based architectures, and external business partners, ensuring scalability, observability, and operational readiness. 

WHAT YOU'LL BRING 

  • Bachelor's degree in Science, Engineering, or quantitative fields (Mathematics, Statistics, Data Science, etc.), or equivalent experience, with at least5years deploying and supporting full-stack applications in enterprise environments, and several years of experience integrating AI, MLsolutions into full-stack applications. 
  • Experienced in full-stack development (backend, frontend, and database technologies) with expertise in frameworks like React or Vue, and strong skills in Python, TypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices. 
  • Experienced in AWS services, particularly Bedrock, SageMaker, S3, Lambda, and infrastructure as code (CDK). Extensive experience applying software engineering design patterns and enterprise application architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications. 
  • Experienced in developing and deploying AI/ML systems, with expertise in GenAI application development, LLM integration, and AIOps, implementing responsible AI practices, and optimizing AI solutions for production performance. 
  • Strong communicator and collaborator, experienced at building partnerships in remote and ever-changing environments. Resilient and resourceful problem solver, proactive at overcoming obstacles to achieve goals. Comfortable with ambiguity and change, demonstrating high learning agility, adapting quickly to shifting priorities, and bringing clarity to undefined problems. 
  • You promote a culture of diversity and inclusion, value different ideas and opinions, andlisten courageously, remaining curious in all that you do. 
  • Able to work remotely with access to a high-speed internet connection and located in the UnitedStates or Puerto Rico. 

 PREFERRED: 

  • Group Benefits or insurance industry experience. 
  • Advanced degree in an analytical fieldwith proven in-depth AI knowledge. 
  • Experienced with AI/ML OPS practices, distributed data processing, and building real-time data pipelines and familiar with data mesh principles, andreal-timeanalytics. 
  • Familiarity with single or multi-cloud agentic architecture for building LLM-based applications. 
  • AI engineer who can design and implement production-grade solutions across probabilistic and deterministic approaches (LLMs/classical ML/rules), including evaluation, orchestration, and integration into maintainable services. 

We value diverse experiences, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 

If you have questions about your application or thehiring process, email our Talent Acquisition area atcareers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking the status. 

Stay Safe from Job Scams 
Mutual of Omaha only accepts applications frommutualofomaha.com/careers. Legitimate communications will come from '@mutualofomaha.com'.  We never request sensitive information or extend job offers without conducting interviews. For more details, check outHiring FAQs. Stay alert for scams and apply securely! 

Fair Chance Notices 

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Advertised: May 28, 2026 06:00 PM Central Daylight Time
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