Everpure
AI

Applied AI Engineer EMEA

Everpure · London, ENG, GB

Actively hiring Posted 26 days ago

Role overview

We're in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

Despite the "Engineer" title, this isn't a typical back-end coding job. This is a pre-sales and architectural advisory role for someone who is part scientist, part consultant, and part communicator. At the Staff / Principal level, you are expected to be a hybrid heavy hitter — someone who can talk shop with PhD data scientists and then walk into a boardroom and explain the ROI to a CEO.

We aren't looking for your average expert. We're building a team of T-shaped professionals with:

  • Deep Technical Roots — You know PyTorch, Kubernetes, and GPU clusters (NVIDIA/AMD) inside and out, and you know when XGBoost is a better choice than the latest frontier model.
  • Broad Business Acumen — You understand verticals, e.g. how a hospital's AI needs differ from a hedge fund's, and can navigate both conversations with credibility.
  • Collaborative Autonomy — With a global remit and potential for 30-60% travel, you are in charge of driving results within diverse collaborations.

What you'll work on

  • Lead technical discovery and advisory engagements with customers to identify high-value AI use cases relevant to their industry and data
  • Advise on end-to-end AI deployment — model selection, training/fine-tuning strategies, inference optimization, data pipeline design, and evaluation/alignment/safety frameworks — optimized for Pure's platform
  • Collaborate cross-functionally to qualify and position AI opportunities, and develop proof-of-value prototypes that translate technical performance into business outcomes
  • Create AI enablement content for field teams, partners, and customers — technical walkthroughs, qualification guides, workshops, and vertical-specific use case frameworks
  • Present at industry conferences, publish technical content and peer-reviewed research, and represent Pure in engagements with strategic technology partners (NVIDIA, AMD, cloud providers, MSPs)
  • Operate autonomously in ambiguous environments — independently scoping high-impact initiatives and driving them to completion at the right pace

Tags & focus areas

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Ai Ai Engineer Data Science Pytorch