Machine Learning Researcher – Applied ML | Stealth Quant Firm

JR United Kingdom; City Of London; On-site; GBP 75,000 - 120,000; Full time

Job summary

A leading stealth quant firm in London is seeking a Machine Learning Researcher to tackle high-impact forecasting and optimization challenges. This role involves building and deploying predictive models, guiding projects from conception to production, and mentoring team members. The company provides a collaborative environment without bureaucratic constraints, emphasizing the application of machine learning research to real-world situations.

Benefits

Visa sponsorship

Relocation support

Qualifications

• 5–10+ years in applied ML/statistics roles.
• Strong coding and production-level model experience.
• Interest in applying research to real-world, high-stakes decisions.

Responsibilities

• Build and deploy predictive models using advanced ML/statistical methods.
• Lead complex research initiatives with clear feedback loops.
• Mentor team members and shape research direction.

Skills

Machine Learning

Statistical Methods

Python

R

Education

PhD or equivalent experience

Job description

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Machine Learning Researcher – Applied ML | Stealth Quant Firm, london (city of london)

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Client:

NJF Global Holdings Ltd

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

16.06.2025

Expiry Date:

31.07.2025

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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.