Mercury
Fintech · Startup banking
- HQ
- London, GB
- Founded
- 1945
- Website
- mercuryrecords.com
Mercury currently has 9 active AI-related job listings. The majority of these roles, 56%, are focused on agents. Engineering and Product are the top functions hiring for these positions. The company is actively seeking candidates with expertise in agent orchestration, LLM observability, and model serving.
Fintech · Startup banking
Currently tracking 6 active AI roles, with 26 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $167k–$303k (avg $227k).
Mercury currently has 9 active AI-related roles in our index. The most common open titles are: AI Context Operations Lead, Financial Crimes Compliance Modeling & Analytics Manager, Head of Revenue Technology & Architecture, Open Call for Founders / Founding Teams - Product Management and Engineering, Senior Machine Learning Operations Engineer. Most positions are in Engineering and Product.
Mercury's active AI hiring is concentrated in: agents (56%), serving infrastructure (22%), application (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Mercury most frequently mention: Real-Time Systems, Product Management, Payments & Fintech, Machine Learning, CI/CD.
In the past 30 days, Mercury has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Operations Engineer This role focuses on building and operating the real-time inference service for ML models in a fintech setting, emphasizing low latency and high availability. It involves owning model deployment infrastructure, observability, and partnering with data science for production operation. The goal is to create a reliable production ML lifecycle platform. | Serve | 7 |