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Nevis Wealth

Automates financial advisor administrative workflows

Applied AI Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • Hands-on experience with large language models.
  • A proven track record of solving real-world problems with artificial intelligence or machine learning.
  • Advanced statistical and data analysis skills.
  • A degree in a science, technology, engineering, or mathematics field from a top university.
  • A product-driven mindset that prioritizes practical machine learning solutions for better client outcomes.
  • Excellent communication skills for effective team collaboration.
  • The ability to take end-to-end ownership in a fast-paced, high-growth environment.

Responsibilities

  • Design and build large language model and machine learning-powered products and features across the platform.
  • Collaborate with engineers and product builders to bring new artificial intelligence capabilities from experiment to production.
  • Establish best practices and design novel approaches for artificial intelligence development, testing, observability, and reliability.
  • Continuously monitor and improve artificial intelligence product performance and reasoning quality.
  • Partner with product and design teams to prototype and iterate on new artificial intelligence features and products.
  • Stay informed about advances in generative artificial intelligence, including agentic systems, reasoning capabilities, and context engineering.

Desired Qualifications

  • Prior experience in artificial intelligence startups.
  • Strong publications or a GitHub profile.

About the Company

Nevis Wealth

Automates financial advisor administrative workflows

Nevis Wealth provides an AI platform that automates administrative and operational tasks for financial advisors. The system integrates with a firm’s existing tools to generate AI-powered meeting summaries, tasks, client briefs, cross-system search results, client-ready emails, and streamlined account openings. It differentiates itself by targeting wealth management firms and RIAs with a comprehensive, end-to-end workflow solution and backing from major investors to scale deployment. The goal is to reduce the time advisors spend on non-client work and help them grow their practice while improving client service.

Company size
51-200
Company stage
Series B
Total funding
$110M
Headquarters
London, United Kingdom
Founded
2024

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