Machine Learning Engineer...

Oliver Bernard
London, England
12 months ago
Applications closed

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Machine Learning Engineer

📍 London (Office-based) | 💰 Up to £120,000 + Equity | 🚀 SF & London Startup

We’re partnered with a venture-backed startup operating across San Francisco and London. They’re building AI-driven products from the ground up and are now hiring a Machine Learning Engineer to join the founding team.

What they’re looking for:

  • Top-tier university background
  • PhD is nice to have.
  • Startup experience (ideally 0→1)
  • Strong foundations in ML (deep learning, NLP, or recommendation systems)
  • Solid Python skills, production deployment experience a plus
  • Comfort working end-to-end: prototyping → scaling in production

    Why join?

  • Office-based culture in London
  • Direct impact on the core product and roadmap
  • Quick, streamlined interview process
  • Salary up to £150k + equity
  • Build alongside experienced founders and early operators with strong track records

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If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.