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.
Reporting to our Head of Data & Analytics, you’ll join experienced AI engineers to deliver practical, production-ready systems for advisers and Fundment colleagues—streamlining administration, automating communications and improving client support.
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.
Experience: Proven experience (5+ years) in data-driven systems or AI engineering
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Core Technical skills:
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)
AI Experience:
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
Communication: Excellent written and verbal communication, presentation and interpersonal skills
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.
Collaborative: We listen, communicate and work towards shared goals.
Innovative: We push boundaries and improve our solutions.
Supportive: We help each other grow and succeed.
Flexible: We adapt to team and client needs, supporting work-life balance and effective outcomes.
Trustworthy: We act consistently and transparently, delivering on our promises.
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