AI role · Open offer

Senior ML Engineer — banking AI

Market index

ING

Full-time
Senior
Model risk
Hybrid
Bijlmerdreef 106, 1102 CT Amsterdam, Netherlands · Hybrid
EUR 85k–115k/year + bonus

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

3 skills1 tool

Apply now Find matching talent

Share this role

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Bijlmerdreef 106, 1102 CT Amsterdam, Netherlands · Hybrid
Compensation: EUR 85k–115k/year + bonus
Experience level: Senior
Team: Model risk
Benefits & perks

About this role

What the team is looking for and how this position fits.

ING is hiring a Senior Senior ML Engineer — banking AI on the Model risk team (Hybrid · Amsterdam, Netherlands). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

ING is a leading European bank with model risk and AI teams in Amsterdam.

Senior ML engineers ship credit, fraud, and personalization models under banking governance.

What you will do

Ship production regulated banking ML with offline evals, monitoring, and safe rollout.
Work with product and domain experts on requirements and trade-offs.
Improve data pipelines, labeling, and metrics tied to business KPIs.
Document runbooks for on-call and customer-facing teams.

What we look for

Strong Python and modern ML/LLM stack with shipped features.
SQL, experimentation, and clear communication to stakeholders.
Eligible to work in the listed country; professional English required.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Credit or fraud model with governance and explainability.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Amsterdam, Netherlands)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 85k–115k/year + bonus, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Credit or fraud model with governance and explainability.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

Suggested

AI talent you may also like

Profiles ranked by overlap with this role's skills and tools—handy if you're hiring for a team or comparing backup candidates.

No close matches in the directory yet—try with your own filters.

Similar open roles

Other listings that share skills or tools with this one—useful if you want comparable stacks or backup options.

Senior ML Engineer — banking AI

AI talent you may also like

Similar open roles

ML Engineer — food delivery intelligence

Senior AI Developer — super-app & mobility

Senior ML Engineer — payments fraud

Research Engineer — applied ML

Senior AI Developer — HR copilots