AI role · Open offer

Talent Acquisition Lead — AI & engineering

Wise

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.

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At a glance

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

Employment: Full-time
Workplace: Hybrid
Location: 56 Shoreditch High Street, London, England E1 6JJ, United Kingdom · Hybrid
Compensation: £70k–95k/year + bonus
Experience level: Senior
Team: Technical talent
Benefits & perks

About this role

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

Wise is hiring a Senior Talent Acquisition Lead — AI & engineering on the Technical talent team (Hybrid · London, United Kingdom). This is a hands-on role in NLP & language AI—not a generic “AI enthusiast” post.

You will own language understanding, generation, and quality metrics 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.

Wise moves money globally and invests heavily in ML and fraud AI. Talent Acquisition Lead hires engineers and applied scientists with proof-first loops.

Hybrid Shoreditch: partner with VPs on workforce planning for AI squads.

What you will do

Design interview loops testing production ML judgment.
Reduce time-to-fill while improving diversity outcomes.
Train hiring managers on structured scorecards.

Stack & environment

Greenhouse, internal sourcing playbooks.
Hybrid London E1.

What we look for

5+ years tech recruiting; ML hiring strongly preferred.

Skills we're hiring for

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

NLP
Text pipelines: tokenization, fine-tuning, evaluation, and guardrails for user-facing language features.
Machine Learning
Practical Machine Learning experience applied to language understanding, generation, and quality metrics in production or rigorous pilots.
Recruiting

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: AI/ML hiring strategy with structured scorecards and time-to-fill improvements.
Several of these show up in recent shipped work—not only on your CV: NLP, Machine Learning, and Recruiting.
You have owned language understanding, generation, and quality metrics in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · London, United Kingdom)—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.

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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

AI/ML hiring strategy with structured scorecards and time-to-fill improvements.

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.

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