Data science Work, Jobs in London, Eng (with Salaries)

Deep Learning Quantitative Researcher
Millennium Management —London
- Doctoral degree
- Computer Science
- Master's degree
20h
Business Analyst - Life Sciences
Expleo —London
- Engineering
- Master's degree
- Analysis skills
4d
Trading Platform Support Analyst
TS Imagine —London
- Engineering
- Windows
- SQL
Quick apply
Associate Professor (Teaching) in Marketing Science
University College London —London
- £68,284 - £76,244 a year
- Full-time
- Doctoral degree
- Marketing
- English
- Annual leave
- Employee assistance programme
6d
Senior Machine Learning Scientist - Search
Depop —London
- Full-time
- Hybrid work
- Azure
- AWS
- Machine learning
- Annual leave
- Employee assistance programme
Quantitative Trading & Research - Global Commodities Quantitative Trading - Associate or Vice President
JPMorganChase —London
- Full-time
- Computer Science
- Java
- Agile
Quantitative Researcher - Mid-Frequency
Fasanara —London
- Full-time
- SQL
- Bachelor's degree
- Linux
- Annual leave
Quick apply
Quantitative Trading & Research - E-Trading - Executive Director
JPMorganChase —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
14d
Life Sciences Consultant, Management Consulting
Carnall Farrar —London
- Full-time
- Hybrid work
- Data analysis skills
- SQL
- Project management
- Work from home
- Employee assistance programme
Quick apply
1d
Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President / Executive Director
JPMorganChase —London
- Full-time
- Doctoral degree
- Master's degree
- AWS
Senior Quantitative Researcher, Options
Teza Technologies —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Quantitative Trading & Research - Securities Services, Payments and CIB Treasury - Associate/Vice President
JPMorganChase —London
- Full-time
- Doctoral degree
- Machine learning
- Communication skills
Credit Quantitative Research - Vice President
Nomura —London
- Communication skills
1h
Graduate Machine Learning Researcher - Chicago
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
- Annual leave
Quantitative Analyst (Math, Physics & Engineering degrees)
Prima —London
- £80,000 - £160,000 a year
- Hybrid work
- English
- Analysis skills
- Maths
- Work from home
Quick apply
Index Research & Development Analyst (ESG/Sustainability)
Institutional Shareholder Services —London
- Full-time
- SQL
- Analysis skills
- Construction experience
Kearney Product Marketing Specialist - Product Excellence & Renewal Laboratory
Kearney —London
- Full-time
- Marketing
- Bachelor's degree
- Travel
14d
London – Long Term Internship 2026 – eTrading Quantitative Research
BNP Paribas —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Java
- Employee assistance programme
Regional Environmental Engineer, AWS Data Centers
Amazon Data Services UK Limited —London
- Full-time
- English
- Master's degree
- AWS
7h
Quantitative Research Analyst, Mortgages
PIMCO —London
- Full-time
- Doctoral degree
- Data analysis skills
- Master's degree

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Deep Learning Quantitative Researcher

Millennium Management -
London

Apply Now

Job details

20 hours ago

Qualifications

Law
Doctoral degree
Computer Science
Master's degree
C++
Machine learning
Deep learning
AI
Python

Full job description

Deep Learning Quantitative Researcher

Preferred Candidate Profile

Top-tier academic background from a globally top-20 university (e.g., MIT, Harvard, Princeton,

Stanford, Caltech)

PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics

preferred

Gold medal in a national or international olympiad (IMO, CMO, IOI, NOI, IPhO, CPhO)

strongly preferred

Practical, hands-on experience with large-scale, end-to-end deep learning at a top-tier quantitative

trading firm or a leading AI/technology company preferred
Key Responsibilities

Design and build the firm’s core deep learning pipelines for applied quantitative alpha research—

from data preparation and distributed training through evaluation and production deployment.

Drive a significant part of the research agenda using applied deep learning techniques, owning the

full empirical loop: problem formulation, model design, training, validation, and performance
attribution.

Uphold rigorous research discipline in a low signal-to-noise domain — strict out-of-sample

hygiene, leakage prevention, and honest benchmarking against simpler baselines.

Act as the firm’s central point of deep learning expertise: advise on architecture selection and

training diagnostics, review model designs, and set standards for how models are evaluated
and promoted.

Facilitate the seamless flow of model fitting and model computation across teams and systems

through standardized training and inference interfaces and reusable components.

Qualifications & Experience

3–5 years of professional experience applying deep learning to large-scale problems, ideally in

quantitative finance. A strong PhD research record plus hands-on experience training large
models at a leading AI/technology company will be considered in lieu of direct quant experience.

Proven end-to-end ownership of the deep learning model lifecycle on at least one significant

production system or published research line.

Deep expertise in Python and a modern DL framework.
Hands-on experience with large-scale model training: distributed/multi-GPU training,

mixed precision, and throughput profiling and optimization.

Strong foundations in statistics, optimization, and machine learning theory.

Hard Skills & Technical Knowledge:

Command of modern deep learning architectures, and the judgment to know when a simpler

model should win.

Practical technique for low signal-to-noise learning: regularization, ensembling, and validation

protocols that survive out-of-sample.

Experience with large-scale datasets — efficient columnar formats, streaming data loaders,

and point-in-time-correct dataset construction.

Fluency with experiment-management tooling: experiment tracking, hyperparameter optimization,

and reproducible research environments.

Working knowledge of C++ or CUDA-level optimization a plus; familiarity with LLM tooling

as a research accelerant a plus.

Soft Skills:

Research Taste & Rigor: Designs clean experiments and kills ideas quickly when the

evidence says so.

Proactive Collaboration: Builds strong partnerships across research and engineering.
High Integrity: Upholds rigorous ethical standards in handling sensitive data and models.
Growth Mindset: Stays current with a fast-moving field and adopts what works.
Superb Communication: Explains model behavior and uncertainty to technical and nontechnical

audiences.

Apply Now

Refine Your Search

data science jobs in london, eng

Deep Learning Quantitative Researcher

Business Analyst - Life Sciences

Trading Platform Support Analyst

Associate Professor (Teaching) in Marketing Science

Senior Machine Learning Scientist - Search

Quantitative Trading & Research - Global Commodities Quantitative Trading - Associate or Vice President

Quantitative Researcher - Mid-Frequency

Quantitative Trading & Research - E-Trading - Executive Director

Life Sciences Consultant, Management Consulting

Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President / Executive Director

Senior Quantitative Researcher, Options

Quantitative Trading & Research - Securities Services, Payments and CIB Treasury - Associate/Vice President

Credit Quantitative Research - Vice President

Graduate Machine Learning Researcher - Chicago

Quantitative Analyst (Math, Physics & Engineering degrees)

Index Research & Development Analyst (ESG/Sustainability)

Kearney Product Marketing Specialist - Product Excellence & Renewal Laboratory

London – Long Term Internship 2026 – eTrading Quantitative Research

Regional Environmental Engineer, AWS Data Centers

Quantitative Research Analyst, Mortgages

I want to receive the latest job alerts for data science in london, eng

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