3 months ago
London, United KingdomSenior
Responsibilities
- Build AI agent and LLM-based solutions for business development and project execution.
- Develop traditional machine learning and analytical models when appropriate.
- Prototype agents, avatars, visual formats, and other disruptive delivery formats.
- Design solutions for reuse, scale, and eventual productization.
- Translate business needs into technical execution with the Technical Business Partner.
- Collaborate with the Platform / Infrastructure Engineer to deploy solutions reliably and maintainably.
- Work with the Front-end / AI Content Creator on client-facing outputs and presentation formats.
- Join client discussions to explain technical solutions and demonstrate technical credibility.
- Move prototypes from experiment to delivery while maintaining quality.
Requirements
- Fluency in Python and modern AI/ML tooling across the build lifecycle.
- Hands-on experience shipping LLM-based or ML solutions, ideally under time pressure.
- Data-science-leaning candidates need grounding in ML mathematics, including statistics and linear algebra, plus varied modeling techniques.
- Software-engineering-leaning candidates need strong engineering practices, including testing, code hygiene, and deployment.
- Ability to make practical design decisions quickly and build solutions useful in real-world settings.
- Full professional English is required; Spanish is welcome.
- Interest or background in Banking & Financial Services is preferred.
- Open-source contributions or compelling side projects are preferred.
- Experience with agent frameworks, LLM application patterns, production data or AI workloads, and reusable or productized solutions is preferred.
- Comfort working in a fast-moving environment with multiple concurrent priorities is preferred.
Benefits
- Meaningful AI-enabled work supporting business development and project delivery.
- Opportunities to develop technical leadership, product thinking, and consulting-led delivery experience.
- Exposure to colleagues across Quotient and the wider firm.
- Inclusive, collaborative, flexible, and growth-oriented culture.
- Learning, visibility, and growth within a newly created team and pilot capability.
- Hybrid work with flexibility to work remotely, while colleagues are expected to be in their local office or onsite with clients at least three days per week; office-based teams have at least one weekly anchor day.
- Role locations are Madrid or London.
Tech Stack
Categories
About Marsh
Marsh is a global insurance broker and risk advisor that helps businesses, public entities, and individuals assess, transfer, and manage risk through insurance placement, captives, and advisory services. It sells brokerage, risk consulting, and claims management across industries, including cyber and property, and operates in more than 130 countries. Marsh is a business of Marsh McLennan and is headquartered in New York.