Verified from career page · Posted 1mo ago

Model ML

Member of Technical Staff - Frontend

Model ML · Engineering

London

Staff

FrontendNext.jsReactTypeScript

Last seen 3h ago

Posted
1mo ago

Posted on 20 August 2026

Workplace
On-site

Work model: On-site

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

Company Overview

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors.

Job Description

We are seeking an experienced Front-End Engineer to own the front-end craft bar across our product. This role is ideal for someone who cares about how software actually feels to use, and who would rather set the standard than work to someone else's. You will report to the Head of Engineering, based in London.Model ML runs a genuinely full-stack engineering culture and every engineer ships UI. As agentic tooling absorbs more of the day-to-day implementation, the highest-leverage front-end work has moved upstream: defining the patterns everyone codes against, setting the rules the agents work within, and making sure quality scales at the pace the company is moving.

Responsibilities

Own the front-end architecture and pattern library that the whole engineering team codes against.

Define the guidelines, constraints and review gates that agentic tooling works within, so generated code stays consistent with the system.

Own front-end performance across dense, information-heavy views rendering large datasets alongside live agent output.

Set and hold the review bar for front-end work, and turn recurring feedback into documented patterns.

Maintain the component library and design system alongside design, including the branding layer that makes output client-ready.

Make framework and tooling decisions, and be able to defend the trade-offs to the engineers who live with them.

Ship features end to end, from interaction detail through to production support.

Mentor engineers whose primary discipline is not front-end.

What you can expect

It won't be easy; in fact, it will be very hard.

BUT, it will be a lot of fun.

You need to be comfortable in being uncomfortable; timelines will change, priorities will most likely shift

Be prepared to sacrifice your work-life balance in exchange for joining an incredible journey and learning a lot along the way.

Requirements

5+ years experience and deep front-end fundamentals, with real curiosity across the wider landscape. You have experience with frameworks and tools beyond React and Next.js, even if only in your own time, and can articulate the trade-offs.

A clear understanding of what is happening under the hood, rather than reaching for a library the moment something looks hard.

Serious performance engineering instincts. You can explain why something is slow, not just that it is.

Strong TypeScript experience.

Strong architecture and systems design judgement.

Obsessive attention to detail.

What We Offer

Competitive salary + equity

Opportunity to join one of the fastest-growing enterprise AI platforms

About the interview

Our Process: We're very conscious of everyone's time, so we want to make the process as efficient as possible.

Call 1: 30-minute intro call with our Talent Acquisition team

Call 2: 30-minute technical screen

Call 3: 20-minute systems design deep-dive

Call 4: Onsite interview with Engineering Leadership

About Model ML

Model ML builds agentic AI for financial services — systems that read across the data sources and applications an analyst uses and then do the work, rather than summarising it. London, $75m Series A. One of the larger boards on this list, and it publishes through Nodi rather than a mainstream ATS.

Apply at Model ML

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