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Remote Machine Learning information

See Nebraska salary details

$24.3K

$40.6K

$83.9K

How much do remote machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote machine learning in Nebraska is $40,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 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 Nebraska? The most popular types of Machine Learning jobs in Nebraska are:
What are popular job titles related to Remote Machine Learning jobs in Nebraska? For Remote Machine Learning jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Nebraska look for? The top searched job categories for Remote Machine Learning jobs in Nebraska are:
What cities in Nebraska are hiring for Remote Machine Learning jobs? Cities in Nebraska with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Senior Software Engineer - Applied AI

Senior Software Engineer - Applied AI

Blue Cross and Blue Shield of Nebraska

Omaha, NE • On-site, Remote

$117K - $154K/yr

Full-time

Re-posted 17 days ago

Blue Cross & Blue Shield Of Nebraska rating

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

183rd of 281 rated insurance

Job description

At Blue Cross and Blue Shield of Nebraska, we are a mission-driven organization dedicated to championing the health and well-being of our members and the communities we serve.

Our team is the power behind that promise. And, as the industry rapidly evolves and we seek ways to optimize business processes and customer experiences, there's no greater time for forward-thinking professionals like you to join us in delivering on it! As a member of Team Blue, you'll find purpose, opportunities and the support you need to build a meaningful career and make a powerful impact in our community.

Health insurance is one of the most confusing, high-stakes experiences people navigate. Members don't understand their coverage, can't predict costs, and struggle to get answers when it matters most. We're building the AI platform that changes that-a member experience that feels like having an expert in your corner. It's already live. It's already helping people. And it's just getting started.
The next chapter is multi-agent: specialized AI agents collaborating to answer clinical questions, navigate prior authorizations, close care gaps, and guide members through their benefits. The orchestration architecture, the agent integration patterns, the evaluation systems that keep it all trustworthy at scale-that's what we're building together. You'll shape how it's designed and set the standard for how it grows.

The ideal candidate will live within driving distance of the Omaha, Nebraska office.This position allows remote flexibility but will have 1 day per week in the office.

If living in one of our approved states (Florida, Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and Texas) - this person may travel to our headquarters.

We are unable to sponsor or take over sponsorship of an employment visa at this time

What You'll Do:

Your primary focus is agent design and orchestration.

  • Multi-agent orchestration layer.Design and build theLangGraph-based system that classifies member intent and routes to the right agent. Stateful, context-preserving, failure-tolerant. Handles commercial agents and internally built capabilities through the same interface.

  • Agent integration contract.The standardized pattern that makes any agent pluggable: input schema, output schema, confidence signaling, latency SLA, fallback behavior. When the teamintegratesa new agent, they follow a pattern you designed.

  • Context management across turns.Multi-turn conversations thatmaintainfull member context across agent handoffs. The memberasksa follow-up two turnslater; the platform knows what was said, which agent handled it, and what was retrieved.

  • Guardrail and safety layer.Clinical safety boundaries, PHI handling at the LLM layer, and response normalization ensuring every agent response arrives in a consistent tone and within compliance constraints regardless of which agent generated it.

  • RAG pipeline architecture.Benefits documents, formularies, and policy content retrieval via Azure AI Search. You define the ingestion strategy, chunking approach, hybrid search configuration, andretrievalquality standards.

  • Prompt architecture.Versioned prompt registry, structured output contracts,few-shot pattern design. Every prompt is testable,rollback-able, and understandable by the team.

To be considered for this position you must have:

  • Bachelor's degree and4-7 years of experience in software engineering.

Experience with agentic AI in production-not LLM wrappers, not single-agent chatbot demos, not RAG tutorials. Systems with multiple agents, explicit state management, and real users depending on the answers being correct.

  • 2-3 years building and operating production LLM or agentic AI systems

  • You can describe specific decisions you made in a multi-agent system: state management approach, how you handled agent failures mid-conversation, how you kept the system governable as agents were added

  • LangGraph,AutoGen, or custom graph-based orchestration used in production, not just evaluated. You know where it breaks down and how you worked around it

  • Debugged retrieval quality problems, iterated on chunking strategies, dealt with stale knowledge bases in a live system with real users

  • Built evaluation systems from scratch: golden datasets, automated regression, domain-appropriate accuracy metrics. Your eval suite caught a production regression before users reported it

  • Experience in healthcare, insurance, fintech, or legaldomains-AI systems where a wrong answer has consequences, and you designed the safeguards that make accuracy non-negotiable

  • Strong knowledge of Python. Work in an existing codebase and extend it with the AI layer

  • Azure OpenAI, Azure AI Search, Azure Container Apps are the target stack

The strongest candidates will also have:

  • Experience working in an Agile/Scrum environment.

  • Desire to think in a creative, lateral way both conceptually and in practical application.

  • You must be obsessed with addressing customer needs.

  • Strong communicationand interpersonal skills.

  • Possess emotional intelligence.

The Stack

Python /FastAPI LangGraph Azure OpenAI / Claude viaAzure Azure AISearch Azure ContainerApps LlamaIndex LangSmith Azure AppInsights PostgreSQL Redis

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill,and orabilityrequired. Reasonableaccommodationsmay be made to enable individuals with disabilities to perform the essential functions. Other duties may be assigned.

Ready to make an impact? Join a team where your skills, attitude, and ideas are valued-and whereyou'llhelp shape the future of healthcare technology.

Learn more about what makes BCBSNE such an exceptional place to work by visitingNebraskaBlue.com/Careers.

We strongly believe that diversity of experience,perspectiveand background will lead to a better workplace for our employees anda betterproduct for our customers and members.

Learn more about what makes BCBSNE such an exceptional place to work by visiting NebraskaBlue.com/Careers.

We strongly believe that diversity of experience, perspective and background will lead to a better workplace for our employees and a better product for our customers and members.

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