Machine Learning Engineer

Company: Jumpstart
Apply for the Machine Learning Engineer
Location: London
Job Description:

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 Role

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

What we’re looking

forWe’re looking for engineers who a

  • re:Strong engineers first, with solid ML or applied AI experie
  • ionPragmatic about tradeoffs between accuracy, cost, latency, and reliabil
  • ityProduct-minded — you care about solving real user probl
  • msAutonomous, 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

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-

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Posted: April 28th, 2026