Noida, Uttar Pradesh, India
Actively hiring, first seen by us 2 days agoDesign, build and deploy AI-powered solutions for complex business problems
Build Gen AI/LLM features such as chat interfaces, copilots, RAG search and agent workflows
Build responsive React UIs that expose AI and LLM capabilities to users
Provide L2/L3 support for deployed AI/ML systems, including drift and performance
Run root-cause analysis for production incidents in models, data and UI integration
Design, develop, and deploy AI-powered solutions to solve complex business challenges
Design and build Gen AI/LLM-powered features such as chat interfaces, copilots, RAG-based search, and agentic workflows
Build responsive, production-grade UIs (primarily in React) that expose AI/ML and LLM capabilities to end users
Provide L2/L3 support for deployed AI/ML systems, ensuring reliability, model drift management, and performance optimization
Conduct root-cause analysis for production incidents involving model performance, data changes, or UI/integration issues
Experience:- 5+ years in Data Analytics, statistical modeling, or data-driven problem solving
3+ years in Machine Learning model development (supervised, unsupervised, NLP, forecasting, optimization, etc.)
2+ years in hands-on AI/LLM development (prompt engineering, RAG, agent workflows, embeddings, vector stores, generative models)
2+ years in front-end development, primarily React (component architecture, state management, API integration)
Practical experience with AI development tools such as Copilot Studio, GitHub Copilot, or M365 Copilot integrations
Experience with vector databases/embedding stores (e.g., Pinecone, FAISS, Chroma, Azure AI Search)
Experience supporting multiple simultaneous AI/ML use cases, including user-facing AI products
Experience as a full-stack AI engineer, bridging ML/LLM backend work with React front-end delivery
Understanding of Responsible AI principles and enterprise AI safety guidelines
Ability to coach teams on using AI tools and contribute to AI adoption across the organization
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 2
Early. Similar jobs usually come down between day 8 and day 76.
At UnitedHealth Group, jobs usually come down by about day 13.
From 5,460 similar postings that came down, and 942 of UnitedHealth Group’s. Coming down is not always a hire.
167 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience with vector databases/embedding stores (e.g., Pinecone, FAISS, Chroma, Azure AI Search) - Solid Python programming experience (NumPy, Pandas, Scikit-Learn, PyTorch/TensorFlow) - Knowledge of MLOps tools (Azure ML, AWS Sagemaker, MLflow, Databricks, KubeFlow, Feature Stores)
- Platform & Data:- Experience with cloud platforms (Azure preferred) and containerized deployments (Docker/Kubernetes) - Familiarity with data engineering fundamentals - ETL/ELT, SQL, data modeling, streaming pipelines - Basic understanding of CI/CD pipelines covering both model and front-end deployment
- Experience building UIs that consume streaming APIs (e.g., SSE/WebSockets for LLM token streaming) - Working knowledge of TypeScript, HTML5, CSS3, and modern build tooling (Vite, Webpack) - Familiarity with REST/GraphQL API integration and basic UX principles for AI-driven interfaces
- Solid Python programming experience (NumPy, Pandas, Scikit-Learn, PyTorch/TensorFlow) - Knowledge of MLOps tools (Azure ML, AWS Sagemaker, MLflow, Databricks, KubeFlow, Feature Stores) - Exposure to agentic AI patterns, automated workflows, and API-based integrations
- Practical experience with AI development tools such as Copilot Studio, GitHub Copilot, or M365 Copilot integrations - Experience with vector databases/embedding stores (e.g., Pinecone, FAISS, Chroma, Azure AI Search) - Solid Python programming experience (NumPy, Pandas, Scikit-Learn, PyTorch/TensorFlow)
- Exposure to design systems/component libraries (e.g., Material UI, Tailwind, shadcn/ui) - Platform & Data:- Experience with cloud platforms (Azure preferred) and containerized deployments (Docker/Kubernetes) - Familiarity with data engineering fundamentals - ETL/ELT, SQL, data modeling, streaming pipelines
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking an experienced AI/ML Builder for the AIFWD team, with a solid foundation in Analytics (5+ years), Machine Learning (3+ years), hands-on AI development (2+ years), and front-end engineering, particularly React (2+ years). The ideal candidate is passionate about building scalable, full-stack AI/ML solutions - from model and agent logic through to the user-facing interface - and is committed to ongoing support, optimization, and enhancement of deployed use cases. This role spans the full lifecycle - from problem discovery to deployment, UI delivery, and operational support - across multiple high-impact AIFWD initiatives.
- Collaborate with cross-functional teams across engineering, product, and data teams to operationalize AI workloads efficiently - UI/Frontend- Build responsive, production-grade UIs (primarily in React) that expose AI/ML and LLM capabilities to end users - Integrate front-end applications with AI/ML backends, APIs, and streaming LLM responses (e.g., token streaming, chat UX, status/progress states)
- 2+ years in hands-on AI/LLM development (prompt engineering, RAG, agent workflows, embeddings, vector stores, generative models) - 2+ years in front-end development, primarily React (component architecture, state management, API integration) - Technical Skills:- AI/ML & Gen AI- Experience with LLM-based development, including instruction tuning, prompt engineering, retrieval-augmented generation (RAG), or evaluation frameworks
- Understanding of model evaluation, guardrails, and hallucination mitigation techniques for Gen AI applications - Front-End / UI:- Solid hands-on experience with React (hooks, component design, state management - Redux/Context/Zustand) - Experience building UIs that consume streaming APIs (e.g., SSE/WebSockets for LLM token streaming)
- Experience supporting multiple simultaneous AI/ML use cases, including user-facing AI products - Experience as a full-stack AI engineer, bridging ML/LLM backend work with React front-end delivery - Understanding of Responsible AI principles and enterprise AI safety guidelines
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
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Yes. We’ve followed 9 other Lead AI/ML Engineer jobs there since April 2026. 4 came down, usually after about 12 days. 5 are still up.
If this one keeps the same pace, it may come down around November 24.
Large employers often post one title for several teams, so these can be separate openings.
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
We are seeking an experienced AI/ML Builder for the AIFWD team, with a solid foundation in Analytics (5+ years), Machine Learning (3+ years), hands-on AI development (2+ years), and front-end engineering, particularly React (2+ years). The ideal candidate is passionate about building scalable, full-stack AI/ML solutions - from model and agent logic through to the user-facing interface - and is committed to ongoing support, optimization, and enhancement of deployed use cases.
This role spans the full lifecycle - from problem discovery to deployment, UI delivery, and operational support - across multiple high-impact AIFWD initiatives.
Primary Responsibilities:
Required Qualifications:
Preferred Qualifications:
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
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Noida, Uttar Pradesh, India
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