Senior AI Engineer - FinTech ML & MLOps

Fundment Limited; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Pension 6% contribution

BUPA Private Health Insurance

Medicash Cashplan

Travel insurance

Life Assurance 4x salary

Employee Assistance Programme

28 days annual leave

Compassionate leave

Hybrid work in Fitzrovia

Job summary

Fundment is a fast-growing wealth infrastructure company redefining the UK wealth management landscape from London. This role shapes Fundment’s AI capabilities from the ground up, reporting to the Head of Data & Analytics, and joining a team of experienced AI engineers building solutions that reduce admin work and improve client service.

The successful candidate will design AI-powered systems, implement MLOps, govern models, and collaborate with cross-functional teams to scale our platform while

Qualifications

• 5+ years in data-driven systems or AI engineering.
• Bachelor’s or Master’s degree in CS/Engineering or related field.
• Excellent written and verbal communication and interpersonal skills.

Responsibilities

• Design and deliver AI-powered systems to streamline tasks and support clients.
• Build and deploy robust AI solutions with production-ready tooling.
• Establish governance with model registries and deployment standards.
• Collaborate with cross-functional teams to scale AI capabilities.
• Translate business requirements into technical specifications and roadmaps.

Skills

Data-driven systems

AI engineering

Python

SQL

Docker

Terraform

LLMs

RAG

AI agents

MLOps

Education

Bachelor’s or Master’s degree in CS/Engineering or related field

Tools

Docker

Terraform

GCP Vertex AI

Vertex AI Pipelines

Model Registry

Job description

Fundment is a fast-growing wealth infrastructure company redefining the UK wealth management landscape from London. This role shapes Fundment’s AI capabilities from the ground up, reporting to the Head of Data & Analytics, and joining a team of experienced AI engineers building solutions that reduce admin work and improve client service.

The successful candidate will design AI-powered systems, implement MLOps, govern models, and collaborate with cross-functional teams to scale our platform while