Quant jobs / WorldQuant

Senior Machine Learning Engineer

A senior Python engineer role leading a small team on data pipelines and AI/ML systems inside a business-facing tech group. It involves technical leadership and mentoring.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Design scalable data pipelines for AI/ML workloads
Lead architecture decisions and code reviews
Build LLM and agent-based systems
Mentor junior engineers

What they ask for

Required

Master's or higher in computer science or engineering
7+ years of Python, with data engineering and AI/ML focus
Pandas, NumPy and PySpark
Cloud (AWS, GCP, Azure) plus Docker and Kubernetes
Git, CI/CD and agile
Communication

Preferred

PyTorch or scikit-learn
LLMs and agents
Finance experience

Education: Master's degree or higher in computer science, engineering or a related field
Experience: 7+ years as a Python developer in data engineering and AI/ML
Languages and tools: Python
PySpark
Docker
Kubernetes

How to prepare

Build an end-to-end ML pipeline with PySpark and containerised deployment
Learn LLM agent design patterns and evaluation
Practise architecture design and code review
Deploy a workload on a cloud platform with CI/CD

What to study

Apply

Read the full posting on WorldQuant’s site before applying: requirements, location and pay can change after we check them.

View the posting on WorldQuant’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with WorldQuant and doesn’t handle applications.