Senior AI Engineer

Senior AI Engineer

Posted: 2 November 2026

About the job

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.

About the Role

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.

Key Responsibilities

AI Product Development:

• 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.

AI/ML Operations:

• 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.

Empowering Colleagues & Stakeholders:

• 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.

Essential criteria

• 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

Desirable experience

• 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.

Our Values at Fundment:

• 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.

• Apply on LinkedIn

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