Machine Learning Engineer

Who we are

Jumpstart is a startup hiring platform partnering with a small, curated group of ambitious VC-backed startups in the UK. Our job is not to sell you roles, it’s to make sure that when you do move, it’s into a place where you’ll actually get to build, learn, and have real impact.

About the rol

eYou will join a Seed or Series A VC-backed startup as one of the first AI / ML engineering hires, with significant ownership over how machine learning is applied in the product — from early prototypes to production systems

.You’ll work closely with founders, product, and engineering to turn messy real-world problems into scalable, reliable AI-powered features, and help define the technical approach, standards, and culture around ML as the company grows

.
What you’ll work

onMost AI roles today fall into one of two bucket

• s:Research with no path to producti
• onGlue code around APIs with no ownersh

ipThis one is neithe

r.At our partner startups, you’ll be trusted as a high-agency AI / ML engineer to build real, user-facing systems. You’ll focus on impact over novelty, and ship models, pipelines, and AI-powered features that actually work in productio

n.You wil

• l:Design and ship ML- or AI-powered features used by real custome
• rsWork on the full lifecycle: data, modeling, evaluation, deployment, and iterati
• onBuild and own production ML systems, not just experiments or noteboo
• ksMake decisions around model choice, tradeoffs, and infrastructu
• reCollaborate directly with founders, product, and engineers — no research sil
• osIterate quickly based on real-world usage and feedba

ck
What we’re looking

forWe’re looking for engineers who a

• re:Strong engineers first, with solid ML or applied AI experie
• nceComfortable taking models from idea → prototype → product
• ionPragmatic about tradeoffs between accuracy, cost, latency, and reliabil
• ityProduct-minded — you care about solving real user probl
• emsAutonomous, curious, and excited by early-stage ambigu
• ityClear communicators who enjoy working across discipli

nesBackgrounds vary — some candidates come from ML-heavy roles, others from strong software engineering backgrounds with applied AI experience. Both can be a great f

it.
How our process w

orks01: Apply to Jumps

tartApply in ~2 minutes HERE with your CV and anything you’ve built (GitHub, side projects, startups). If it looks like a fit, you’ll have a short call with our in‑house CTO. No live coding. No take‑homes. Just a chat to understand how you think as an engin

eer.02: Join the plat

formOnce accepted, you’ll create a profile and get access to a curated set of early‑stage engineering roles, all from vetted VC‑backed start

ups.
03: CTOs pitch t

o youWe share your profile with 100+ CTOs in our network. Strong candidates often receive multiple direct messages from CTOs pitching their role, team, and pro

duct.
04: Get support landing you

r roleYou’ll get access to a hotline with our in-house CTO Patrick, with 1-1 support on everything from initial interview support, to case study feedback, all the way through to final offer negotiation & su

pport.
What makes this di

• fferentUnparalleled access: CTOs pitch to you and your profile is shared with 100s of s
• tartupsCurated matching: We filter hard on bot
• h sidesSignal over noise: No mass applications or recruit
• er spamReal ownership: Roles where engineers shape the product and
• cultureUK-focused: Leading UK startups, remote-friendly or Londo

n-based
What

• you getAccess to roles that aren’t publicly ad
• vertisedOptional 1:1 prep with experienced engineers, founders,
• or CTOsA long-term community of builders, potential collaborators & co-