Forward Deployed Engineer Jobs in United Kingdom

The purest FDE-DNA startup on the board: its co-founders created and led Forward Deployed AI Engineering at Palantir — and started it in Palantir's London office. Now Sequoia-backed on a $30M Series A, they're selling that motion as a product. If you want the Palantir FDE playbook from the people who wrote it, this is the shortest path.

Four FDE postings — including two Regional Director seats in SF and London — from a company being acquired by SpaceX at $60B. Cursor is building a global FDE org mid-acquisition; nobody does that for a side project.

A rare London FDE pointed at the physical world — aerospace, healthcare, energy — not another support chatbot. The cap table is the tell: a 14x-oversubscribed $4.5M seed backed by Coinbase, Reddit, Klarna, and Spotify, i.e. consumer-tech money betting on industrial workflow software. Wants a product engineer (TypeScript/React + Python, LLM integration) who ships to prod day one and runs the customer call themselves, not a solutions-consultant. On-site with visa sponsorship and relocation covered.

One of the leanest AI companies anywhere — under 100 people at roughly $500K ARR per employee, serving 600M+ monthly inference calls. A London FDE seat at that revenue density means unusual ownership per head; £150K OTE plus meaningful equity at Series-C stage.

The GRC SaaS leader — 1M+ users, 700K board members — is building its FDE function from zero to 20–25 people, and the first hires define how agents embed inside global banks' audit, risk and compliance workflows. Explicitly 'not a support or consultancy role': you own agents from failing trace to Board-trusted production. The NYC sibling posting lists $130K–$170K.

The enterprise low-code leader (1,700 staff; Toyota, Heineken, Bosch, KeyBank as customers) opens a Principal-tier FDE seat to drive its agentic transformation — a role that owns executive relationships and scopes what to build, not just how. Confirmation the FDE title has fully crossed into established platform vendors; the US sibling req posts a $153K–$186.3K base.

A rare London FDE seat where 'forward deployed' means literally on the factory floor — installing vision-based inspection AI in under 24 hours against an industry standard of ~6 months, debugging static interference and lighting rigs one week, working trade-show booths the next. Embodied-AI deployment for engineers who'd rather ship on a Haribo line than a SaaS dashboard.

Forward-deployed as a data-science discipline, not an engineering one: Braze (NASDAQ: BRZE) is staffing FD Data Scientists in eight cities across three continents at once. The martech proof that 'forward deployed' has jumped the AI-lab fence — same embed-with-the-customer motion, pointed at churn models instead of agents.

When the database layer starts hiring FDEs, the pattern is officially infrastructure-wide. MongoDB (NASDAQ: MDB) just stood up a Forward Deployed Engineering org from scratch — Atlas plus AI app-modernization — spanning seven-plus geos on two continents. IC band $118K–$231K, Senior Staff reaching ~$297K.

The original enterprise-AI pure-play — public since 2020, long before the LLM wave — is hiring FDEs eight postings deep across four cities. The $120K–$158K base sits well under the AI-lab bands: same title, priced by a pre-LLM generation that never treated deployment as a scarce skill. Good volume, honest comp, and a real shot at industrial and public-sector accounts most lab FDEs never touch.

A YC-backed decision engine for banks and fintechs staffing FDEs three levels deep — entry-level through Lead at $200K–$300K — across NYC, Berlin, and London. One of the few FDE ladders anywhere with real German-market seats.

Lovable scaled to millions of builders with no deployed-engineering org — this is the founding seat, 5+ yrs full-stack (React/TS), embedding with its 'most ambitious customers to translate impossible ideas into real products.' You set the playbooks for FDE at one of the fastest-growing AI app builders.

Alguna (YC S23) is rebuilding B2B quote-to-cash — CPQ, usage metering, billing — and its FDE ships customer integrations end-to-end across CRMs and ERPs. At $80K–$125K it's the low end of the FDE band, but it's a genuine early-stage, remote-across-four-countries seat where you own implementations from 'what do you need?' to 2am hotfix. The comp is modest; the ownership and equity are the pitch.

The autonomy company runs an FDE seat that's basically an embedded startup CTO — integrating its Vehicle OS and autonomy stacks into DoD platforms in the field. $145K–$190K, US citizenship and a security clearance required; the clearance is the durable premium.

A European FDE seat at the Next.js company: you embed to lead enterprise Next.js migrations and ship production AI agents inside customer codebases. Wants 5 years and expert TypeScript — the customer roster is OpenAI, PayPal, and Ramp. One of the few frontier-adjacent FDE roles based in London/Berlin.

The only FDE seat where you live inside SystemVerilog and UVM testbenches — Normal calls itself a 'frontier AI lab for silicon,' embedding engineers with the world's largest chipmakers to cut EDA cost 1,000x. $180K–$325K to own a vertical almost no other FDE can touch.

A generative-video FDE seat that turns Luma's models into production systems on a customer's data — and only asks for 2+ years, with an explicit 'we're not looking for unicorns' pitch that quietly undercuts the usual FDE bar. $170K–$290K, embed-with-the-customer model.

HackerRank is standing up an FDE function from scratch — a Director search plus ICs on three continents at once. Early enough to shape the playbook, at a company every engineer already knows.

Bret Taylor's agent company invented the modern agent-deployment motion — the infra variant of the role is rarer and pays accordingly.

The strongest FDE option in Europe — Mistral is the default lab for EU enterprises and governments with data-sovereignty requirements.

Cohere is all-in on enterprise — FDEs are the core go-to-market motion, not a support function.

Fin is one of the highest-volume production AI agents in the world — FDEs here optimize systems handling millions of conversations.