Millennium Management LLC

Millennium is a global alternative investment management firm, founded in 1989, which manages $56.3 billion in assets. We seek to pursue a diverse array of investment strategies across industry sectors, asset classes, and geographies. Our four primary strategies are RV Fundamental Equity, Equities Arbitrage, Fixed Income Strategies, and Quantitative Strategies. Millennium was founded on the belief that innovation and results come from empowering talented, independent-minded individuals. To us, success is the combination of drive and discipline. See our community guidelines at: mlp.com/guidelines
06/01/2025
Full time
Millennium Management LLC Buckingham, UK
Our Infrastructure AI and Data Engineering Team is responsible for providing the foundational firm-wide AI Enablement platform. We are transitioning this platform onto K8s and we are seeking an experienced DevOps Engineer to lead this effort. The ideal candidate will help drive our cloud-native infrastructure initiatives and lead the implementation of DevOps best practices across our organization. This is a unique opportunity to not only join one of the leading hedge funds in the world, but to provide leadership on the core AI Enablement platform which is used by every aspect of the business on a daily basis.   Key Responsibilities: Design and implement high-availability solutions for critical AI infrastructure Partner with AI/ML teams to optimize platform performance and scalability Drive architectural decisions for the next generation of the AI platform Lead the development and maintenance of CI/CD pipelines using tools like Jenkins or GitHub Actions...
31/12/2024
Full time
Millennium Management LLC London, UK
Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong DevOps Engineering team to build next generation in-house platforms for several business lines. Our technology teams provide a dynamic and fast-paced environment with excellent growth opportunities. Responsibilities Work closely with quants, portfolio manager, risk managers and other engineers in New York, Chicago, Miami, Singapore, and Bangalore to develop data intensive and multi-asset analytics for our Fixed Income, Risk, and Commodities platforms Gather requirements and user feedback in collaboration with fellow engineers and project leads Design, build and refactor robust software applications with clean and concise code following Agile and continuous delivery practices Automation of system maintenance tasks, end-of-day processing jobs, data integrity checks and...
23/12/2024
Full time
Millennium Management LLC Buckingham, UK
Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong DevOps Engineering team to build next generation in-house platforms for several business lines. Our technology teams provide a dynamic and fast-paced environment with excellent growth opportunities.   Responsibilities Work closely with quants, portfolio manager, risk managers and other engineers in New York, Chicago, Miami, Singapore, and Bangalore to develop data intensive and multi-asset analytics for our Fixed Income, Risk, and Commodities platforms Gather requirements and user feedback in collaboration with fellow engineers and project leads Design, build and refactor robust software applications with clean and concise code following Agile and continuous delivery practices Automation of system maintenance tasks, end-of-day processing jobs, data integrity...
18/12/2024
Full time
Millennium Management LLC London, UK
This role is a member of the AI/ML Infrastructure Engineering team and will be dedicated to implementing and supporting AI/ML infrastructure solutions in cloud and on-premise environments. The role will work directly with infrastructure teams and potentially face off with data scientists, machine learning engineers, application developers, and quantitative analysts by functioning as both a solutions architect, helping them implement their own AI/ML solutions, and as a professional services engineer, implementing solutions for them in cloud environments such as AWS, GCP, and Kubernetes. This is a hands-on developer role and candidates ideally have had experience deploying and supporting their own production-ready AI/ML models in cloud environments as well as automating the build and management of a broad range of cloud infrastructure using tools like Terraform. Candidates should be familiar with developing unit and functional tests, have experience designing and implementing...