# Archer Recruitment (client undisclosed) — Machine Learning Engineer

| Field | Value |
|---|---|
| **Date found** | 2026-05-25 |
| **Company** | Archer Recruitment (client undisclosed) |
| **Role** | Machine Learning Engineer |
| **Location** | Dublin, Ireland — Hybrid (frequency unknown) |
| **Salary** | Up to €110,000 |
| **Job URL** | https://www.linkedin.com/jobs/view/4417057733/ |
| **Status** | New |

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## Company Research

Recruiting agency — client undisclosed.

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## Job Summary

**What they do:** Fast-growing Dublin SaaS startup, €20M+ funded, building its first ML-driven intelligence layer into an established SaaS platform.

**The role:** First ML engineer hire, owning the end-to-end ML lifecycle for user behaviour prediction and real-time decision-making optimisation.

**Core work:**
- Design, build, and deploy ML models for user behaviour prediction and real-time optimisation
- Develop and productionise scalable ML systems in a SaaS environment
- Lay the AI/ML architecture foundation and long-term strategy for the company

**Stack:** Python · MLOps · A/B testing · production ML

**Work style:** Dublin Hybrid (frequency unknown); remote-first likely given SaaS startup culture.

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## Score: 52%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 15% | Zero agentic AI content. No LLMs, no agents, no RAG. Pure traditional ML (behaviour prediction, real-time decision-making). |
| Tech fit (25%) | 60% | Python + MLOps + production ML — good foundation. But no LLM/agentic frameworks in stack. |
| Remote fit (25%) | 50% | Dublin Hybrid, frequency unknown. Likely reasonable given startup culture, but not confirmed. |
| Company culture fit (15%) | 75% | €20M+ funded startup, greenfield opportunity, founder access, fast-paced — good culture signals. |
| IC/leadership balance (10%) | 90% | Fully IC, founding engineer, clear ownership. Progression mentioned but IC for now. |
| **Final (weighted)** | **52%** | Salary "up to €110k" — if floor is ~€100k, no deduction applies. Weak match due to zero agentic/LLM work. |

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## Strengths

- Greenfield opportunity as first ML hire — full ownership and influence
- Well-funded startup (€20M+), founder access, strong culture signals
- Up to €110k salary disclosed
- IC role with clear career path

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## Weaknesses & Risks

- ⚠️ Zero agentic AI / LLM content — pure traditional ML, not Luca's target area
- ⚠️ Company undisclosed — cannot evaluate domain, product, or culture properly
- Salary cap at €110k — below Luca's €110k+ ideal floor
- Dublin Hybrid frequency unknown
- Generic ML work (behaviour prediction, A/B testing) — significant step back from agentic AI focus

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## Suggestions

- Low priority given absence of agentic AI content
- Only worth pursuing if other options dry up
- Ask Archer (Olga Torres) to disclose company and confirm hybrid frequency before proceeding

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Expired | 2026-06-02 | Posting removed — no longer accepting applications |
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |