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AI Research Engineer Equity) at VC-backed financial risk AI startup
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-09-14
Listing for:
Jack & Jill
Full Time
position Listed on 2026-09-14
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
Location: Greater London
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network.
The next step is to speak to Jack.
Job TitleAI Research Engineer
Salary£80k-£120k + Equity
Company DescriptionVC-backed financial risk AI startup
Job DescriptionBuild and scale advanced agentic systems and proprietary models to automate complex financial risk management workflows. You will fine-tune LLMs, develop robust evaluation frameworks, and deploy production-ready AI features that transform how institutions handle massive data volumes. This role bridges frontier research and high-impact engineering in a rapid-growth, mission-driven environment in London.
LocationLondon, UK
Why this role is remarkable- Lead the development of sophisticated AI agents that automate high-stakes decision-making for global financial institutions.
- Join a high-velocity engineering team backed by top-tier global venture capital firms at a pivotal growth stage.
- Exercise significant ownership over AI strategy, from initial research and training to production-grade deployment and monitoring.
- Fine-tune large-scale models and vision systems to process complex documentation and conduct automated due diligence.
- Architect and maintain comprehensive benchmarking and evaluation pipelines to ensure the reliability of autonomous agentic workflows.
- Partner with product teams to translate state-of-the-art AI research into scalable features for a regulated production environment.
- 3+ years of experience in AI research or engineering with a track record of building and shipping agentic systems.
- Deep technical expertise in model training, fine-tuning, and modern MLOps practices for production-ready AI applications.
- Strong engineering fundamentals with proficiency in Type Script and a product-oriented mindset that prioritizes real-world impact.
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