Deep Learning Researchers / Engineers- Sophisticated Prop Trading Firm

eFinancialCareers
London, United Kingdom
5 days ago
Posted
15 Sep 2026 (5 days ago)
Unique opportunity to join this hugely successful prop trading firm as they scale significantly, building out a brand-new central trading team.

With major investment in GPUs and compute infrastructure, the aim is to build from scratch a best-in-class platform, redefining how alpha is generated. To do this, they're looking for exceptional Deep Learning Researchers and Engineers to sit within a pod-like structure - but with much more shared capital, strategic influence and collaboration across a centralised book.

Alongside the infrastructure investment, what makes this opportunity especially interesting is the level of commitment behind it:
  • Greenfield environment with the opportunity to build the research stack from scratch
  • Strong autonomy and ability to shape direction from an early stage
  • Deep learning-first philosophy across research and modelling

This is a non-traditional, non-linear quant setup, where the focus is heavily towards:
  • Neural networks
  • Transformers
  • LLM-driven research
  • Multi-modal modelling
  • Modern NLP and agentic/autonomous research systems
  • LLM fine-tuning, including regression and forecasting applications

Strong preference for the following experience:
  • Alpha generators from top-tier firms
  • Strong background in:
    • NLP applied to markets
    • Modern deep learning

They are particularly interested in:
  • People who think beyond traditional quant frameworks
  • Experience at the frontier of ML research - whether from industry, academia or highly independent/self-directed work

Benefits
  • Competitive salary and discretionary bonuses
  • Generous benefits package including reimbursement for health & wellness expenses, donation matching program, significant paid vacation allowance


Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you think you're a good match, or would like further information, please contact:

Henry Abbot

+44 (0)
in/henry-abbot

Related Jobs

View all jobs
Spotlight

Programme Manager (Forward Deployed)

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

Senior Applied Research Engineer - Video

Synthesia London, United Kingdom
Remote

Senior Security Engineer (AI Safety), London, Lausanne

Isomorphic Labs United Kingdom
Hybrid

Senior Computer Vision Engineer - Deep Learning

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom
£70,000 – £95,000 pa Hybrid Clearance Required

Machine Learning Engineer - Spiking Neural Networks

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom
£75,000 – £100,000 pa

Machine Learning Fellow - Human Frontier Collective (UK)

Scale AI United Kingdom
Remote

Performance Engineer (Junior) | AI Infrastructure | Cambridge

Pure Resourcing Solutions Dry Drayton, Cambridgeshire, United Kingdom
£55,000 – £70,000 pa Hybrid

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.