AI Engineer (Insurance)

TL;DR

AI Engineer (Insurance): Designing, developing, and deploying AI solutions to transform insurance operations with an accent on AI-powered workflows and infrastructure efficiency. Focus on building scalable models using Azure and n8n, integrating AI into business processes, and improving customer experience.

Location: Hybrid in Liverpool City Centre, UK. No visa sponsorship available; applicants must have at least one year remaining on a Graduate or Post-Study Work visa.

Salary: up to £45,000

Company

A national leader in specialist insurance with over 40 years of expertise and a team of 1,700+ employees.

What you will do

• Design and implement AI models and algorithms for various business use cases.
• Translate business requirements into technical solutions in collaboration with AI Analysts.
• Build and deploy AI-powered workflows using n8n, Azure (AKS, Storage, Postgres), and AI Foundry.
• Maintain AI infrastructure and applications while contributing to best practices and code reviews.
• Troubleshoot technical issues and maintain comprehensive documentation.

Requirements

• Solid understanding of AI/ML concepts, algorithms, and techniques.
• Proficiency in programming languages such as Python or Javascript.
• Experience with cloud platforms, preferably Azure or AWS.
• Knowledge of containerization technologies like Docker and Kubernetes.
• Experience with Git for version control.
• Must have at least one year remaining on a Graduate or Post-Study Work visa.

Nice to have

• Experience with n8n or similar workflow automation tools.
• Knowledge of data engineering principles and practices.
• Experience with insurance fraud patterns and counter-fraud analytics tools.

Culture & Benefits

• Up to 35 days of holiday (including bank holidays) with buy/sell options.
• 24/7 mental health support and free counselling.
• Career development through leadership programs and internal career fairs.
• Flexible benefits and early access to salary via internal platform.
• Hybrid working options to support work-life balance.