# Berkley Group (client undisclosed) — Principal Machine Learning Engineer

| Field | Value |
|---|---|
| **Date found** | 2026-06-01 |
| **Company** | Berkley Group (client: undisclosed professional services firm) |
| **Role** | Principal Machine Learning Engineer |
| **Location** | Ireland (Remote, with national travel) |
| **Salary** | €160,000–€200,000 |
| **Job URL** | https://www.linkedin.com/jobs/view/4419420896/ |
| **Status** | New |

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## Company Research

Recruiting agency — client undisclosed. Berkley Business & Technology is a specialist recruitment consultancy placing professionals across Ireland, UK & Europe. The client is described as "a professional services firm" operating in regulated industries (banking, pharma, insurance).

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## Job Summary

**What they do:** A professional services/consulting firm (client undisclosed) delivering AI and ML solutions in complex, regulated enterprise environments including banking, pharma, and insurance.

**The role:** Principal ML Engineer — senior IC driving the full enterprise ML lifecycle from discovery through production, with significant client-facing authority.

**Core work:**
- Own end-to-end ML delivery: prototyping → production-grade containerised systems
- Lead executive-level client conversations on model safety, ROI, and compliance
- Establish global engineering standards for the data science and ML function (bias testing, CI/CD for ML, validation harnesses)

**Stack:** Python · Scikit-learn · Statsmodels · XGBoost · LightGBM · Pandas · Polars · PySpark · MLOps · Kubernetes · Docker · MLflow · FastAPI · Feast · Airflow/Dagster · AWS SageMaker · GCP Vertex AI · Azure ML · SHAP · LIME · Evidently AI · RAGAS/Vellum

**Work style:** Remote in Ireland (permanent), 4-day work week, but requires national travel for client-facing engagements; must reside in Republic of Ireland with Stamp 4/EU/UK passport.

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## Score: 49%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 30% | Traditional enterprise ML focus (statistical modelling, classical models); only peripheral LLM involvement (RAGAS/Vellum as evaluation tools) — no multi-agent or LangChain/LangGraph work |
| Tech fit (25%) | 45% | Strong Python/MLOps/cloud overlap but stack is classical ML not the desired agentic AI stack; no LangGraph, CrewAI, or vector DB emphasis |
| Remote fit (25%) | 75% | Remote in Ireland ✅ but requires national travel for client site visits — not purely remote |
| Company culture fit (15%) | 30% | Professional services consulting model via undisclosed client; likely moderate bureaucracy and client-driven delivery pressure; 4-day week is positive |
| IC/leadership balance (10%) | 70% | Principal IC role with mentoring and standards-setting, but heavy client-facing/advisory expectations |
| **Final (weighted)** | **49%** | |

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## Strengths

- Highest stated salary range seen to date: €160k–€200k + 4-day week
- Remote in Ireland with no fixed number of on-site days per week
- Principal-level IC ownership with strong technical authority
- Exposure to regulated industries (banking, pharma, insurance) — overlaps with Fenergo compliance background

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## Weaknesses & Risks

- ⚠️ Principal role — above target seniority band (flag but accept)
- Core work is classical ML, not agentic AI; LLM involvement only as evaluation tooling
- Client undisclosed — unknown company culture, domain, and tech stack details
- National travel required (frequency unspecified)
- Conservative stack (Scikit-learn, XGBoost) vs. desired agentic AI focus

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## Suggestions

- Emphasise full-lifecycle ML delivery at Fenergo and the cybersecurity role
- Highlight regulatory environment experience (KYC, compliance AI)
- Ask about the actual client industry and what proportion of work involves LLMs
- Clarify travel frequency before committing

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |