AI role · Open offer

AI Technical Project Manager — banking copilots

Monzo

Full-time
Senior
AI delivery
Hybrid
Broadwalk House, London, England N1 7BT, United Kingdom · Hybrid
London, United Kingdom
£90k–115k/year + equity

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 skills

At a glance

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

Employment: Full-time
Workplace: Hybrid
Location: Broadwalk House, London, England N1 7BT, United Kingdom · Hybrid
Compensation: £90k–115k/year + equity
Experience level: Senior
Team: AI delivery
Benefits & perks

About this role

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

Monzo is hiring a Senior AI Technical Project Manager — banking copilots on the AI delivery team (Hybrid · London, United Kingdom). 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.

Monzo ships banking copilots under FCA expectations. AI Technical Project Manager coordinates ML, mobile, and compliance for GenAI releases.

Hybrid London N1: you keep delivery predictable without slowing innovation.

What you will do

Run weekly cadences across ML, backend, and design.
Maintain release calendars with model risk sign-offs.
Document incident playbooks for copilot failures.

Stack & environment

Jira, internal LLM gateways, hybrid London.

What we look for

Fintech or regulated software PM background.
Strong written communication.

Skills we're hiring for

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

LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
NLP
Text pipelines: tokenization, fine-tuning, evaluation, and guardrails for user-facing language features.
Project Management

Tools & stack

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

JiraTool
Regular use of Jira in the LLM & generative AI stack—configuration, debugging, and team conventions.

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: Fintech GenAI rollout with compliance checkpoints documented.
Several of these show up in recent shipped work—not only on your CV: LangChain, NLP, Project Management, and Jira.
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 · 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.
You read the full listing (comp: £90k–115k/year + equity, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

Fintech GenAI rollout with compliance checkpoints documented.

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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