# Enigma (client undisclosed) — Senior Machine Learning Engineer

| Field | Value |
|---|---|
| **Date found** | 2026-05-25 |
| **Company** | Enigma (client undisclosed) |
| **Role** | Senior Machine Learning Engineer |
| **Location** | United Kingdom — Remote |
| **Salary** | Undisclosed |
| **Job URL** | https://www.linkedin.com/jobs/view/4417896556/ |
| **Status** | New |

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## Company Research

Recruiting agency — client undisclosed.

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## Job Summary

**What they do:** A well-funded UK startup building LLM and AI agent applications, reportedly in cybersecurity or an adjacent domain.

**The role:** Senior ML Engineer owning the full ML lifecycle — evaluation frameworks, production pipelines, and AI agent performance optimisation.

**Core work:**
- Build production-grade evaluation frameworks for LLM/agent systems
- Own the full ML experimentation-to-production pipeline with rapid iteration
- Optimize AI agent performance through prompt engineering and architecture improvements
- Scale ML infrastructure, monitoring, and tooling to support product growth

**Stack:** Python · PyTorch · LangChain · LLMs · RAG

**Work style:** Fully remote (UK); accessible from Ireland. Early-stage team — high autonomy.

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## Score: 73%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 60% | "Optimize AI Agent Performance" is an explicit contribution; company builds LLM + AI agents. But ML Engineer role is primarily evaluation/MLOps, not agent orchestration design. |
| Tech fit (25%) | 75% | Python, PyTorch, LangChain — strong stack overlap. Production ML lifecycle matches Luca's background. |
| Remote fit (25%) | 85% | "Remote, UK" — accessible from Ireland. Fully remote working model. |
| Company culture fit (15%) | 65% | "Well-funded startup" language, early team, LLM/agent-first product. Company identity undisclosed limits assessment. |
| IC/leadership balance (10%) | 80% | IC with mentoring of junior engineers. No management requirement. |
| **Final (weighted)** | **73%** | Salary undisclosed — no penalty applied. Strong tech fit and remote policy, moderate agentic depth. |

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## Strengths

- Company explicitly builds LLM and AI agents — AI-native product
- Fully remote UK — accessible from Dublin
- Early team member opportunity with full ML lifecycle ownership
- LangChain in stack — direct match

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## Weaknesses & Risks

- ⚠️ Salary undisclosed — significant unknown
- ⚠️ Company identity undisclosed — culture and stability unknown
- Primary role focus is MLOps/evaluation infrastructure, not agentic AI design
- UK-based startup — employment contract, currency, benefits TBC
- Cybersecurity domain likely — less Luca's core domain

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## Suggestions

- Ask recruiter (Jason Love at Enigma) to disclose company before investing time
- Emphasise production ML lifecycle experience from Fenergo and cybersecurity ML roles
- Clarify: Irish resident applying to UK remote — confirm work authorisation compatibility
- Ask for salary range upfront

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Expired | 2026-05-26 | Posting removed — no longer accepting applications |
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |