so you're a uk contractor, you've built stuff, shipped code, dealt with clients who change their minds mid-sprint. now everyone's talking about forward deployed engineering (fde) and you're wondering: do i really need to join palantir or openai to get a piece of that pie?
short answer: no. long answer: it's more nuanced, but the opportunity is real. and if you've got what adam moore calls a 'founder mindset', you might be exactly what companies are looking for.
let's cut the fluff.
what is forward deployed engineering, really?
companies are past the 'let's see if ai works' phase. they know it works. the problem now is making it work in production—reliably, at scale, without breaking everything else.
that's where fdes come in. they're not just deploying software. they own the outcome.
"unlike solutions, sales and implementation engineers, fdes own the outcome rather than just handing the process off."
fdes write production code. they build solutions. they embed themselves in client operations to understand the messy reality of data pipelines, legacy systems, and human workflows.
sounds familiar? it should. that's basically what good contractors do every day.
why contractors are a natural fit for fde roles
most fde roles at the big three—palantir, anthropic, openai—are full-time. but the demand is spilling over into contract work. companies need people who can:
- work directly with clients (and not freak out when requirements change)
- own outcomes, not just tasks
- make ai reliable in real-world environments
- move fast without a safety net
that's literally the contractor playbook.
moore highlights five industries where fde contractor demand is hot: legal, life sciences, financial services, public sector, and professional services. these aren't sexy startups. they're organisations with real problems and real budgets.
the 'founder mindset' thing
moore says fde hirers crave techies who've owned outcomes and worked closely with clients. that's you, if you've ever run your own freelance operation.
but here's the catch: you need deep domain expertise. when you're up against ex-palantir fdes, you can't just be a good coder. you need to know the industry inside out.
four hooks for landing fde contract jobs
moore lists four 'hot' hooks for temp fde work:
- ai deployment projects – taking models from notebook to production
- platform implementations – getting enterprise platforms to actually work
- data transformation – cleaning up the mess before ai can do anything useful
- mission-critical product rollouts – the stuff that keeps ceos up at night
pick one. get good at it. then find companies that need exactly that.
the ugly truth about fde contracting
it's not all smooth sailing. moore points out challenges around definitions, culture, and continued participation. some companies don't really know what an fde is. others want fde work but aren't ready for the cultural shift.
and there's the participation problem: once you've deployed the solution, what's next? fde contracts can be intense but short. you need to keep your pipeline full.
the admin side of being a high-end contractor
here's the thing nobody talks about: when you're landing £800/day fde contracts, you don't have time to chase invoices or manually track payments. you need systems that work as fast as you do.
that's where invoice gini comes in. just say what you need, and your invoice is ready. ai-powered, natural language, no templates, no fuss. you focus on deploying ai systems; let gini handle the money.
because if you're owning outcomes for clients, you shouldn't be owning spreadsheets at 11pm.
the bottom line
forward deployed engineering is a real opportunity for uk contractors who are tired of being treated like interchangeable resources. the demand is there, the skills transfer, and the pay is good.
you don't need a palantir badge. you need a track record of shipping, a deep understanding of a specific industry, and the ability to own outcomes.
and maybe a decent invoicing tool.
source: uk it contractors: how to land forward deployed engineer roles beyond palantir, anthropic and openai