Artificial Intelligence Engineer

trg.recruitment
London, England
13 months ago
Applications closed

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🚀Lead AI Engineer | HealthTech | Oxford/London (Hybrid)

We’re tackling some of the toughest challenges in mental health and dementia research - using the power of AI.


Join us as Lead AI Engineer and shape how real-world data is turned into real-world outcomes. You'll lead AI development across NLP, OCR and semantic search - working with one of the world’s richest clinical datasets.


Are you a hands-on engineer keen on software engineering best practice? Have you put NLP models into production? Do you like developing people as well as AI models? If you love hands-on delivery, technical vision, and cross-functional leadership - this is your role.


🧠 NLP | OCR | Semantic Search

🛠 MLOps | Python | AWS | Docker/K8s

🏥 Meaningful mission | HealthTech at scale


#AIJobs #NLP #HealthTech #MLOps #DataScience #LLM #OCR #Leadership

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.