NDA

AI / Machine Learning Engineer (Hedge Fund)

NDA

United Kingdom

Accepting Applications Full-time On-site LinkedIn
Posted 1 month, 1 week ago 3 views 0 applications
Job Description
We are a Global Hedge Fund based in the West End of London. We are hiring an **AI / Machine Learning Engineer** to help build an AI\-assisted forecasting platform focused on **Global bank equities** . This is an exceptional opportunity within a successful and supportive investment team working in a well established Hedge Fund. A terrific chance for the right candidate to contribute to the development of a leading edge platform at the forefront of the investment process . This role sits at the intersection o **f LLMs, data engineering and fundamental investment resear** ch. The system combines deterministic financial models with LLM\-powered workflows that analys **e earnings transcripts and other unstructured financial documen** t s. The platform is already in use and now needs to scale from a small number of banks **to 200\+ names across multiple K** P Is. What you’l * l doBuild and impr **ove LLM\-powered workf** lows for analysing earnings transcripts and disclos * uresDevelop and optim **ise RAG / retrieval pipel** ines for unstructured financial con * tentBuild and maint **ain data pipel** ines from ingestion through to model out * putsHelp des **ign evaluation, testing and monito** ring infrastructure for LLM sys * temsContribute to the scaling of a live forecasting platform used in an investment con * textWork closely with **the Portfolio Man** ager **and Technical** Lead in a small, high\-impact team What we’re lookin * g forApp **rox. 2–4 years’ exper** * ienceSt **rong P** ython s * killsExperience buil **ding LLM applica** tions beyond simple prom * ptingExperience **with data pipe** lines **an** * d SQLFamiliarity **with RAG / retr** ieval, unstructured text workflows, or document pipe * linesGood software engineering habits: version control, testing, maintainable * codeStrong problem\-solving ability and a practical, hands\-on mi ndset Nice t * o haveExperience **with LLM eval / deb** * **uggingAgentic wor** * **kflows** Docker, cloud, API devel * opmentTools su **ch as LangChain, LlamaInde** * x, MCPIntere **st in financial m** arkets or company an alysis W * hy joinWork on a real applied AI problem in a live investment * settingHigh ownership in a successful, small, high\-performi * ng teamOpportunity to help scale a differentiated research platform from early stage to broad c * overageDirect exposure to both technical and investment wo rkflows
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