ML Data Engineer

CV-Library
Langbourn, City and County of the City of London
16 months ago
Applications closed

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Uniting Ambition are proud to be representing a Global, Leading Insurance Client who are looking for a Machine Learning Data Engineer / Data Science Engineer for their growing Machine Learning team.
You MUST Have:

  • Strong experience with Azure
  • Docker / Kubernetes or similar technologies, deployed in a machine learning setting
  • 2/4 years experience within Data Engineering / Data Science
  • Strong Python
  • Experience as a Data Engineer / Data Scientist / ML Engineer in a machine learning environment / on machine learning projects.
  • Insurance / Financial Services industry experience
    On offer:
  • Up to £55k Salary, Plus Bonus
  • Hybrid working, very flexible - located across the UK
  • Great benefits package
    MUST BE UK BASED

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

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.