Lead Machine Learning Engineer

Stanford Black Limited
London, England
14 months ago
Applications closed

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Lead AI/Machine Learning
Series A Climate Data/AI Start Up
£120,000 base + equity (3 days on site, Central London, 2 from home)

Lead and scale a brand new Machine Learning function at one of the UK's fastest scaling Series A start ups. With heavy investment from Google Ventures and Series B about to kick off early next year, this is a unique opportunity for a Lead, or senior ML Engineer who wants to take the next step in their career.

This firm partner with a range of the largest banks, insurance and real estate firms in the world. They have built out a series of AI driven products and tools that predict the P&L losses these firms will experience due to severe weather events in the future. They are on their way to take over the climate risk industry.

As Lead AI/ML Engineer you will work closely with senior stakeholders and product teams to drive the companies AI/ML strategy, remaining hands on, building out end to end GenAI features and ML models.

Must Have
5 + years in Python development, specializing in ML Libraries such as Scikit-learn and PyTorch.
Proven ability to lead teams and work with non-technical stakeholders.
Have worked on GenAI initiatives

Nice to have
Experience in an early start up environment
Experience working with Geo-spatial data

Industry Insights

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What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

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.