2027 Applied AI Engineer Intern, London
Millennium Management · London, United Kingdom · 2mo ago
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Location
London, United Kingdom
Job Title
2027 Applied AI Engineer Intern, London
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
The Technology team is core to the health and growth of Millennium’s business, delivering flexible, scalable technology and advanced proprietary systems that support the firm’s multi-manager platform. In this environment, teams work with large, real-time datasets and next-generation analytical capabilities, partnering closely across engineering, research, and business functions to build practical technology solutions at scale.
What You’ll Do
- Support the development, testing, and deployment of AI and machine learning models in production environments
- Build and enhance AI-powered applications, workflows, and integrations that drive business impact
- Evaluate new models, tools, and approaches to improve performance and refine solutions
- Develop scalable software and services that support reliable, low-latency AI systems
- Contribute to data pipelines and infrastructure used to process large-scale, real-time data for AI applications
What You Bring
- Graduating between December 2027 to July 2028
- Pursuing a Bachelor’s or Master’s degree in AI, Computer Science, Software Engineering, or a related field
- Strong knowledge of current AI and machine learning advancements, including large language models
- Proficiency in Python, Java, C++, JavaScript, or similar programming languages
- Strong understanding of data structures, algorithms, and computational complexity
- Knowledge of SQL and NoSQL databases, with experience working with large datasets