Applied AI Data Scientist - Real-World Systems, Cambridge

FactTrace
Cambridge, England
9 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Programme Manager (Forward Deployed)

M-1 Intelligence London, United Kingdom
£60,000 – £75,000 pa Remote

Principal Designer

Faculty London, United Kingdom
Hybrid

Lead Data Scientist

Faculty AI London, United Kingdom
Hybrid

Principal Data Scientist

Faculty AI London, United Kingdom
Hybrid

Business-Focused AI Enablement Architect - eFinancialCareers

eFinancialCareers London, United Kingdom

Machine Learning Fellow - Human Frontier Collective (UK)

Scale AI United Kingdom
Remote

Full Stack Software Engineer

Faculty AI London, United Kingdom
Hybrid
Posted
6 Jan 2026 (9 months ago)

A pioneering AI company in Cambridge is seeking exceptional AI Data Scientists to work collaboratively on advanced models. This full-time role focuses on developing data-driven systems under real-world conditions rather than pure research. Candidates should have a strong background in Python and machine learning, preferably with a PhD or equivalent experience. The company offers competitive salaries along with opportunities for equity participation, designed for long-term growth within the technical team.
#J-18808-Ljbffr

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.