AI Engineer (Insurance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer (Insurance): Designing, developing, and deploying AI-powered workflows and models to drive business efficiency with an accent on cloud-based automation and infrastructure maintenance. Focus on building scalable AI solutions using Azure, containerization, and workflow automation tools within the insurance sector.
Location: Must be based in or able to commute to Liverpool, UK (Hybrid role).
Salary: £40,000–£45,000 per annum.
Company
A national leader in the UK insurance industry with over 40 years of expertise, employing 1,700+ people and committed to a people-first, inclusive culture.
What you will do
- Contribute to the design, development, and implementation of AI models and algorithms.
- Collaborate with AI Analysts to translate business requirements into technical solutions.
- Build and deploy AI-powered workflows using tools like n8n, Azure, and OpenWebUI.
- Maintain and improve existing AI infrastructure and applications.
- Participate in code reviews and establish team best practices.
- Troubleshoot and resolve technical issues related to AI solutions.
Requirements
- Must have the right to work in the UK without sponsorship (at least one year remaining on Graduate or Post-Study Work visa).
- Solid understanding of AI/ML concepts, algorithms, and techniques.
- Proficiency in Python or Javascript.
- Experience with cloud platforms (Azure preferred) and containerization (Docker/Kubernetes).
- Familiarity with version control systems like Git.
- Strong problem-solving skills and attention to detail.
Nice to have
- Experience with n8n or similar workflow automation tools.
- Knowledge of data engineering principles.
- Experience with insurance fraud detection patterns and analytics.
Culture & Benefits
- Hybrid working model to support work-life balance.
- Up to 35 days of holiday including bank holidays with buy/sell options.
- 24/7 mental health support and free counselling.
- Access to career fairs, leadership programs, and learning opportunities.
- Early access to salary via internal platform.
- Inclusive workplace culture with multiple diversity and wellbeing accreditations.
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