AI engineer in wealth management

Build AI that gives financial advisers less admin and more time with clients. Fundment is a fast-growing wealth infrastructure company combining proprietary technology with exceptional customer service to transform the UK wealth management market. As we grow our Data, Analytics & AI function, we’re looking for a hands-on Senior AI Engineer to help shape our AI capabilities from the ground up.

• Identify high-impact opportunities with the business and build robust AI solutions that reduce administration and support growth.
• Use multi-modal data—including time-series data, documents, emails and phone calls—to improve operational quality and efficiency.
• Build end-to-end MLOps pipelines, with model governance, a version-controlled model registry and consistent deployment standards.
• Define success metrics and monitor production performance, prediction latency and model performance decay to drive continuous improvement.
• Build reusable components with the AI team and translate business requirements into technical specifications and project plans, owning delivery from concept to production.
• Help technical and non-technical colleagues use AI effectively and securely.

• Proven experience (5+ years) in data-driven systems or AI engineering
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Advanced proficiency in SQL for data manipulation and analysis
• Advanced proficiency in Python and preferably other programming languages
• Experience with containerisation technologies including Docker.
• Experienced with Infrastructure as Code (e.g. Terraform)
• Experienced in building AI systems using LLMs, RAG and AI agents.
• Experienced in turning AL/ML prototypes into robust production systems
• Experience with AI/MLOps pipeline and production monitoring systems
• Excellent written and verbal communication, presentation and interpersonal skills
• Будет плюсом: Experience in a startup or high-growth environment; Knowledge of data privacy and AI regulation, preferably within financial services; Experience in building the infrastructure and tools to support effective A/B testing and experimentation; Experience in GCP Vertex AI platform, including Vertex AI Pipelines, Model Registry, and Vertex AI Endpoints; GCP Professional Machine Learning Engineer certifications

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