Stott and May
Forward Deployed - Senior Machine Learning Engineer
We captured this posting once, on 2026-08-05, and did not track it afterwards — so we cannot tell you whether it is still open.
- Employer
- Stott and May
- Location
- District of Columbia, United States
- Seniority
- Senior
- Experience asked for
- Not stated
- Pay band
- Not disclosed
When we saw it
- Posted 2026-07-31 — the date the employer published it
- Archived 2026-08-05 — when we saved this copy
Found via LinkedIn — US keyword pulls.
Skills the posting named
From the posting
Job Description Forward deployed Machine Learning Engineer Active U.S. Secret clearance required to be considered for this role Working on a high-impact opportunity with a venture-backed team building AI systems used in real-world national security environments . This is not a research role. You’ll be building and shipping production LLM systems that operate in secure, mission-critical settings. What You’ll Be Doing Designing and deploying LLM systems (RAG, embeddings, vector search) Building APIs and backend services for AI-powered applications Working across the full stack from data pipelines to inference Shipping systems into secure, sometimes air-gapped environments What They’re Looking For Strong backend engineering skills (Python and/or JavaScript) Experience deploying ML systems into production Hands-on with LLMs, vector databases, or agentic workflows Comfortable owning systems e …
An excerpt. The full posting is Stott and May's. Read it at the original source, if it is still up.
What this tells you about the FDE role
One posting is one data point. Read it alongside the rest of the archive and the market analysis — the seniority you actually need, what the role pays across levels, and which employers hire for it. If you are working out whether your background fits, start with the scorecard.
Other Stott and May FDE postings
- Forward Deployed Engineer San Francisco, CA
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