Machine Learning Engineer/AI Engineer

Overview

In this role you will build and deploy ML-powered services and full-stack applications to support fraud and identity analytics. You will work across backend services, model-serving pipelines, and user interfaces to deliver real-time solutions. You’ll own development, monitoring, and security standards for your services while collaborating with data scientists and architects. This is an opportunity to shape ML-enabled products that improve risk assessment at scale.

Pay / Benefits

• Generous holiday allowance
• Private medical benefits
• Pension scheme
• Share option scheme
• Travel season ticket loan
• Electric Vehicle Scheme

Responsibilities

• Develop ML inference APIs, microservices, and data/feature pipelines
• Build full-stack tooling to support model evaluation and transparency
• Integrate ML models into real-time production systems
• Implement automated training, monitoring, and evaluation workflows
• Use and contribute to AI-assisted development tools
• Own DevOps and security standards for assigned services
• Collaborate with data scientists, architects, and QA

Key requirements

• 4+ years software engineering (backend, full-stack, or ML)
• Strong Python and Java
• React + TypeScript experience
• Snowflake or similar data-platform experience
• Familiarity with ML model serving and feature engineering
• Strong ownership and independent execution
• Working knowledge of DevOps and secure engineering

• ownership
• independent execution
• collaboration
• Python
• Java
• React

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