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 role
You 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 buckets:
Research with no path to productionGlue code around APIs with no ownershipThis one is neither.
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 production.
You will:
- Design and ship ML- or AI-powered features used by real customers
- Work on the full lifecycle: data, modeling, evaluation, deployment, and iteration
- Build and own production ML systems, not just experiments or notebooks
- Make decisions around model choice, tradeoffs, and infrastructure
- Collaborate directly with founders, product, and engineers — no research silos
- Iterate quickly based on real-world usage and feedback
- What we’re looking for
- We’re looking for engineers who are:
- Strong engineers first, with solid ML or applied AI experience
- Comfortable taking models from idea → prototype → production
- Pragmatic about tradeoffs between accuracy, cost, latency, and reliability
- Product-minded — you care about solving real user problems
- Autonomous, curious, and excited by early-stage ambiguity
- Clear communicators who enjoy working across disciplines
- Backgrounds vary — some candidates come from ML-heavy roles, others from strong software engineering backgrounds with applied AI experience.
- Both can be a great fit.
- How our process works01: Apply to Jumpstart
- Apply 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 engineer.02: Join the platform
- Once accepted, you’ll create a profile and get access to a curated set of early‑stage engineering roles, all from vetted VC‑backed startups.03: CTOs pitch to you
- We share your profile with 100+ CTOs in our network.
- Strong candidates often receive multiple direct messages from CTOs pitching their role, team, and product.04: Get support landing your role
- You’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 & support.
- What makes this different
- Unparalleled access: CTOs pitch to you and your profile is shared with 100s of startups
- Curated matching: We filter hard on both sides
- Signal over noise: No mass applications or recruiter spam
- Real ownership: Roles where engineers shape the product and culture
- UK-focused: Leading UK startups, remote-friendly or London-based
- What you get
- Access to roles that aren’t publicly advertised
- Optional 1:1 prep with experienced engineers, founders, or CTOsA long-term community of builders, potential collaborators & co-founders
