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From Home Embedded Machine Learning Jobs in Henrico, VA

Machine Learning Engineer Richmond, Virginia (5 Days Onsite) need local within commute About the ... AI solutions from prototype to production Strong communication skills and ability to explain ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Lead Machine Learning Engineer (IC)

Richmond, VA · On-site +1

$101K - $133K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

Lead Machine Learning Engineer

Richmond, VA

$101K - $133K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... From informing customers about unusual charges to answering their questions in real time, our ...

Lead Machine Learning Engineer

Richmond, VA · On-site

$101K - $133K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... From informing customers about unusual charges to answering their questions in real time, our ...

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From Home Embedded Machine Learning information

See Henrico, VA salary details

$63.5K

$139.2K

$157.9K

How much do from home embedded machine learning jobs pay per year?

As of Aug 24, 2026, the average yearly pay for from home embedded machine learning in Henrico, VA is $139,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,400.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Embedded Machine Learning jobs in Henrico, VA?

The most popular types of Embedded Machine Learning jobs in Henrico, VA are:

What job categories do people searching From Home Embedded Machine Learning jobs in Henrico, VA look for?

The top searched job categories for From Home Embedded Machine Learning jobs in Henrico, VA are:

What cities near Henrico, VA are hiring for From Home Embedded Machine Learning jobs?

Cities near Henrico, VA with the most From Home Embedded Machine Learning job openings:

Machine Learning Engineer

WorkNovas LLC

Richmond, VA • On-site

Contractor

Re-posted 2 days ago


Job description

Machine Learning Engineer  

Richmond, Virginia (5 Days Onsite) need local within commute

About the Role
We are seeking a Machine Learning Engineer with expertise in agentic AI systems to design, build, and deploy next-generation AI solutions. In this role, you will work at the intersection of LLMs, autonomous agents, retrieval-augmented generation (RAG), and enterprise-scale systems, leveraging Azure AI Foundry, Copilot Studio, and modern orchestration frameworks.
You will collaborate closely with product managers, architects, and application teams to deliver intelligent, production-grade AI agents that integrate seamlessly with business workflows and enterprise data.
Key Responsibilities
Design and implement agentic AI systems capable of planning, tool use, memory, and multi-step reasoning
Build and deploy AI solutions using Azure AI Foundry and Copilot Studio
Develop RAG pipelines integrating structured and unstructured enterprise data
Implement and optimize vector databases for semantic search and long-term agent memory
Orchestrate LLM-based agents using frameworks such as LangChain (or equivalent)
Develop scalable backend services and APIs using Python
Integrate AI agents with enterprise tools, APIs, and workflows
Evaluate, monitor, and optimize agent performance, reliability, and cost
Apply responsible AI principles including security, privacy, and governance
Stay current with advancements in LLMs, agent architectures, and Azure AI services
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
5+ years of experience in machine learning, AI engineering, or applied ML
Strong proficiency in Python for ML and backend development
Hands-on experience building LLM-based applications
Practical experience with agentic AI patterns (tool calling, planning, memory, reflection)
Experience with LangChain or similar agent orchestration frameworks
Solid understanding of RAG architectures
Experience with vector databases (e.g., Azure AI Search, Pinecone, etc.)
Familiarity with Azure cloud services and enterprise-grade deployments
Hands-on experience with MCP and/or A2A agent communication frameworks
Preferred Qualifications
Direct experience with Azure AI Foundry and Copilot Studio
Experience integrating AI agents into enterprise workflows or SaaS platforms
Knowledge of prompt engineering, evaluation frameworks, and guardrails
Experience with CI/CD, MLOps, or AI observability
Understanding of security, identity, and compliance in enterprise AI systems
Nice-to-Have
Contributions to AI prototypes, internal platforms, or open-source projects
Experience moving AI solutions from prototype to production
Strong communication skills and ability to explain complex AI systems to non-experts