At a Glance
- Tasks: Join our AI Squad to design and develop innovative AI solutions for the insurance industry.
- Company: Acorn Insurance, a dynamic company transforming business with cutting-edge AI technology.
- Benefits: Up to 35 days holiday, 24/7 mental health support, and hybrid working options.
- Other info: Exciting projects, collaborative team, and excellent career growth opportunities await you!
- Why this job: Make a real impact in the future of insurance while growing your AI expertise.
- Qualifications: Solid understanding of AI/ML concepts and experience with Python or Javascript.
The predicted salary is between 40000 - 45000 £ per year.
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.
Responsibilities
- 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.
Qualifications
- A solid understanding of AI/ML concepts, algorithms, and techniques.
- Experience with programming languages such as Python/Javascript.
- 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 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 (e.g., staged accidents, claims farming, ghost broking, fronting).
- Familiarity with fraud analytics or rules engines (e.g., using ML models, anomaly detection, or scoring to flag suspicious claims, policies, or quotes).
- 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
- A maximum of 35 days’ holiday (depending on role and tenure) including bank holidays, with additional buy/sell options.
- 24/7 mental health support.
AI Engineer employer: Acorn Group
Acorn Insurance is an exceptional employer that fosters a collaborative and innovative work culture, particularly for AI Engineers looking to make a significant impact in the insurance sector. Located in the vibrant Liverpool City Centre, we offer hybrid working arrangements, generous holiday allowances, and comprehensive mental health support, ensuring our employees thrive both personally and professionally. With a strong emphasis on employee growth and the opportunity to work with cutting-edge technologies, Acorn Insurance is dedicated to empowering its team members to excel in their careers while contributing to transformative projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether they're personal, academic, or freelance. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and algorithms. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so make sure you can articulate your thought process!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. Tailor your application to highlight how your skills align with our mission at Acorn Insurance and the exciting work we’re doing in AI.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI/ML concepts, programming languages like Python or Javascript, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team at Acorn Insurance. Be sure to mention any specific tools or technologies you’ve worked with that are relevant to the role.
Showcase Your Problem-Solving Skills:In your application, don’t forget to highlight your problem-solving skills. Share examples of challenges you've faced in previous roles and how you tackled them. We love seeing candidates who can think critically and creatively!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy to do!
How to prepare for a job interview at Acorn Group
✨Know Your AI Stuff
Make sure you brush up on your AI/ML concepts and algorithms before the interview. Be ready to discuss how you've applied these in past projects, especially if you've worked with tools like Azure or Docker. This will show that you’re not just familiar with the theory but can also put it into practice.
✨Show Off Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in your previous roles. Think about challenges you've faced while developing AI solutions and how you resolved them. This will demonstrate your analytical thinking and ability to adapt, which is crucial for an AI Engineer.
✨Get Familiar with the Company’s Tech Stack
Before the interview, take some time to learn about the technologies mentioned in the job description, like n8n, Azure, and Postgres. If you can speak knowledgeably about how you would use these tools in your role, it’ll show that you’re genuinely interested in the position and ready to hit the ground running.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team, projects, or company culture. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you. For instance, you might ask about their approach to integrating AI solutions within the insurance sector or how they handle ethical considerations in fraud detection.
