Overview

Company: Millennium Management LLC

Location: London, United Kingdom

Type: Permanent

Date: 2025-09-15

Job ID: 23195511

Employment Type: Full time

Compensation: Competitive

Job Function Summary

The Central Liquidity Strategies (CLS) business manages a number of portfolios and products designed to optimize the firm's trading and execution approach by providing internal liquidity solutions for portfolio managers on both a risk and agency basis. We are seeking a highly driven, results-oriented, and opinionated dev ops leader with experience in handling research infrastructure, deploying critical applications, and operating on large amounts of data to create battle-tested infrastructure and improve the research development experience.

Principal Responsibilities

• Leadership: The candidate will design and implement infrastructure, and advise on and enforce best practices to maximize research and development velocity.
• Research: The candidate is expected to keep up with the state-of-the-art tools that are being used in the field and continuously evaluate what the best tools and practices are for our use cases.
• Machine Learning Operations (MLOps) + Development Experience (DevEx): Create dependable and reproducible polyglot (Python, native extensions, CUDA) environments for rapidly iterating research projects that can be easily deployed to production.
• Enforce best practices and packaging standards for large research codebases.
• Work with the cloud to help scale research jobs.
• Infrastructure automation: Develop CI/CD pipelines for research processes and live trading apps, develop robust monitoring solutions for infrastructure and deployed applications, automate recurring jobs with tools like Airflow/Prefect.
• Performance engineering: Be familiar with best practices for profiling, monitoring performance to assist with performance investigations, develop solutions that empower researchers and developers to understand the performance of their code.

Qualifications/Skills Required

• Experience: 10+ years of experience with research focused DevOps (HPC, ML research, quant research) and experience with high-availability production deployments.
• Strong communications skills and ability to work with many stakeholders in a team environment.
• Leadership skills: Ability to work with constraints, make decisions under time pressure, and own your work.
• Development skills: Experience writing clean, robust, and testable code for automating processes pertaining to infrastructure management and deployment.
• Systems knowledge: Familiarity with Linux internals, understanding of package management, how software is deployed on systems.
• Python: Strong understanding of Python internals, familiarity with the latest standards in the packaging ecosystem (uv), build tools like hatchling.
• Familiarity with tools like: Nix, Conda, Pixi, and containers.