Oliver Wyman – AI Engineer (m/f/d) – Quotient AI Specialist – Madrid / London

2 hours ago

London, United KingdomSenior

Responsibilities

Build AI agent and LLM-based solutions supporting business development and project execution.
Develop traditional machine learning and analytical models when they are the best fit.
Prototype agents, avatars, and visual delivery formats.
Build reusable, scalable solutions and coordinate productization with Quotient Inside.
Translate business needs into technical execution with the Technical Business Partner.
Collaborate with the Platform / Infrastructure Engineer on reliable deployment and maintenance.
Partner with the Front-end / AI Content Creator on client-facing outputs and presentation formats.
Participate in client discussions and move solutions from experimentation to delivery while maintaining quality.

Fluency in Python and modern AI/ML tooling across the build lifecycle.
Hands-on experience shipping LLM-based or machine learning solutions, ideally under time pressure.
Data-science-leaning candidates should have strong grounding in ML mathematics, including statistics and linear algebra, and a range of modeling techniques.
Software-engineering-leaning candidates should demonstrate strong engineering practice, including testing, code hygiene, and deployment.
Ability to make practical design decisions quickly and build solutions for real-world use.
Full professional English; Spanish is welcome.
Preferred: banking and financial services interest or experience, open-source contributions or compelling side projects, production experience with agent frameworks or LLM application patterns, experience designing for reuse and scale, and comfort managing multiple concurrent priorities.

Create AI-enabled solutions with visible impact on business development and project delivery.
Develop technical leadership through ownership, practical design decisions, and cross-functional collaboration.
Gain exposure to AI engineering, product thinking, consulting-led delivery, and productization.
Work in a collaborative, inclusive, flexible, and newly created team with learning and growth opportunities.
Hybrid work with colleagues expected to be in their local office or onsite with clients at least three days per week; office-based teams identify at least one weekly anchor day.

501-1,000 employees