Role Overview:
One of the world’s leading global multi strategy hedge funds are now seeking exceptionally talented ML research scientists to join and assist with building out a centralised Machine Learning platform within the firm.
The ideal candidates will be embedded within the central AI team, learning platforms and systems while shipping production tooling from the outset. From there, they will then rotate onto investment teams as the dedicated AI partner to a PM, building agentic workflows, research automation, screening tools and model tooling against live investment problems
The ideal candidate:
- Advanced degree in AI, Data Science, Computer Science, Statistics, Mathematics or a related quantitative field, or equivalent work experience.
- Extensive experience in computer science, statistics, machine learning and generative AI is required
- Approx 5 years experience in a user-facing role, scoping, building and deploying LLM-based solutions in production
- Proven capability of building LLM-based applications using agentic frameworks
- Direct work with non-technical stakeholders to shape and deliver solutions
- Highly proficient in Python for engineering, statistical modelling and machine learning
- Experience integrating LLMs and AI models into production workflows
- Familiarity with model provider APIs (OpenAI, Anthropic, Google) and agentic frameworks such as LangGraph, the OpenAI Agents SDK or the Claude Agent SDK
- Fluency with agentic coding tools such as Claude Code and Codex
- Working knowledge of MCP for tool and data integration
- Familiarity with cloud platforms (AWS, Azure, GCP), Git, and workflow orchestration tools such as Airflow is a strong plus
- Excellent communication skills; able to explain technical trade-offs to portfolio managers and analysts
- Able to manage multiple workstreams and deliver to deadline
To discuss the role in further detail please feel free to get in touch: [email protected]
www.pointonetalent.com