AI Engineer

Join our growing AI Squad and help us build the future of insurance! We’re looking for talented and motivated AI Engineers to contribute to exciting projects that leverage cutting‑edge technologies. Acorn Insurance is a dynamic company embracing Artificial Intelligence to transform our business.

As an AI Engineer, you’ll play a key role in designing, developing, deploying, and maintaining AI solutions that drive efficiency, improve customer experience, and unlock new opportunities. This is a fantastic opportunity for someone with a strong technical foundation and a desire to learn and grow within a fast‑paced environment. Job Title: AI Engineer Salary: up to £45,000 depending on experience Location: Liverpool City Centre on a Hybrid working basis Working hours: 37.5 hours per week, Monday to Friday What you'll be doing: Contribute to the design, development, and implementation of AI models and algorithms, potentially tackling more complex use cases as your expertise grows.

Work closely with AI Analysts and other engineers to translate business requirements into technical solutions. Utilise tools like n8n, Azure (AKS, Storage, Postgres), OpenWebUI, and AI Foundry to build and deploy AI‑powered workflows. Maintain and improve existing AI infrastructure and applications.

Participate in code reviews and contribute to the development of best practices. Troubleshoot and resolve technical issues related to AI solutions. Contribute to documentation and knowledge sharing within the team.

What we’re looking for: A solid understanding of AI/ML concepts, algorithms, and techniques. Familiarity with cloud platforms like Azure (preferred) or AWS. Experience with containerisation technologies like Docker/Kubernetes.

Understanding of version control systems like Git. A proactive attitude and a willingness to learn new technologies. Strong problem‑solving skills and attention to detail.

Ideally, some experience within the insurance industry. Desirable but not required: Experience with n8n or similar workflow automation tools. Knowledge of data engineering principles and practices.

Understanding of insurance fraud and counter‑fraud tools. Experience with motor or personal lines fraud patterns. Familiarity with fraud analytics or rules engines.

Experience integrating with fraud detection services or internal counter‑fraud teams. Understanding of UK regulatory and ethical considerations around fraud detection (FCA, data protection, fairness, bias). Benefits Maximum 35 days’ holiday, including bank holidays, with additional buy/sell options. 24/7 mental health support and free counselling available.

Flexible benefits, including early access to salary via our internal platform. Hybrid working options to support work‑life balance and individual needs. #J-18808-Ljbffr