Machine Learning Researcher – Applied ML | Stealth Quant Firm

JR United Kingdom; Slough; On-site; GBP 60,000 - 100,000; Full time

Job summary

Une entreprise d'investissement de recherche en pleine croissance recrute un chercheur en apprentissage machine pour résoudre des problèmes complexes. Ce rôle vous permettra de mener des projets de A à Z, en utilisant des méthodes de ML avancées pour prendre des décisions éclairées sur des données en temps réel. Avec un environnement de travail collaboratif et axé sur la curiosité, ce poste est idéal pour ceux qui cherchent à appliquer leurs recherches à des décisions critiques.

Benefits

Sponsoring de visa

Soutien à la relocalisation

Qualifications

• 5-10+ années d'expérience en ML/statistiques.
• Expérience de production de modèles.

Responsibilities

• Construire et déployer des modèles prédictifs.
• Mentorer les membres de l'équipe et orienter la recherche.

Skills

Machine Learning

Statistics

Python

R

Education

PhD or equivalent experience

Job description

Social network you want to login/join with:

Machine Learning Researcher – Applied ML | Stealth Quant Firm, slough

col-narrow-left

Client:

NJF Global Holdings Ltd

Location:

slough, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

4

Posted:

16.06.2025

Expiry Date:

31.07.2025

col-wide

Job Description:

Machine Learning Researcher – Applied ML | Stealth Quant Firm

A well-funded, research-driven investment firm is hiring experienced ML researchers to work on high-impact problems in forecasting and optimization. The team combines deep machine learning expertise with vast, noisy real-world datasets to make fast, measurable decisions at scale.

You’ll lead projects from idea to production — designing models, running experiments, mentoring researchers, and deploying systems that operate live in the market. The environment is collaborative, flat, and driven by curiosity — no silos, no bureaucracy, and no chasing short-term hype.

What you’ll do:

• Build and deploy predictive models using advanced ML/statistical methods
• Lead complex research initiatives with clear, real-world feedback loops
• Mentor team members and shape research direction
• Stay close to academic progress and apply it pragmatically

What we’re looking for:

• 5–10+ years in applied ML/statistics roles
• PhD (or equivalent experience) in a technical field
• Strong coding (Python or R) and production-level model experience
• Interest in applying research to real-world, high-stakes decisions

Visa sponsorship and relocation support available.