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For Companies At a Glance
- Tasks: Design and develop AI models to solve real-world problems and enhance user experiences.
- Company: Leading AI firm known for innovation and a vibrant team atmosphere.
- Benefits: Attractive salary, flexible hours, remote work options, and continuous learning opportunities.
- Why this job: Join a forward-thinking team and shape the future of technology with your ideas.
- Qualifications: Experience in AI/ML and a passion for problem-solving.
- Other info: Fast-paced environment with plenty of room for personal and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
Overview
AI Engineer — Join an innovative InsurTech company revolutionizing insurance claims through advanced AI technology. As an AI Engineer, you will be instrumental in developing systems that transform the claims process—turning moments of crisis into compassionate support with increased speed, accuracy, and empathy. If you are passionate about leveraging AI to make a meaningful difference and thrive in a dynamic, fast-paced environment, this is an excellent opportunity to contribute to a purpose-driven team shaping the future of claims management.
What You\’ll Do
- Build and deploy AI solutions that improve assessment accuracy, accelerate processing times, and enhance customer experience.
- Collaborate with insurance specialists to convert claims workflows into scalable, AI-driven processes.
- Implement large language models (LLMs), LangChain, and other cutting-edge tools to handle complex insurance challenges at scale.
- Lead projects from initial concept through deployment, continuously measuring and optimizing performance metrics.
Required Skills
- Minimum 2 years of experience in AI/ML engineering or research.
- Proven track record of executing AI/ML projects from start to finish, with measurable impact on key business metrics.
- Proficiency in deploying AI solutions, including experience with LLMs and related frameworks.
- Strong communication skills, with ability to collaborate effectively with both technical and non-technical colleagues.
- Comfortable working in fast-changing environments and managing ambiguity.
Nice To Have Skills
- Experience with emerging AI frameworks like LangChain.
- Familiarity with insurance claim processes and workflows.
- Knowledge of cloud deployment and scalable solutions.
- Previous experience in startup or scale-up settings.
Preferred Education And Experience
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields.
- Successful history of developing AI products that deliver business value.
Other Requirements
- Ability to work remotely up to 30 days per year.
- Willingness to participate in company offsites and team-building activities.
- Passion for innovation, continuous learning, and solving challenging problems alongside a motivated team.
Think you have what it takes to transform the future of claims processing with AI? Apply now to become a vital part of an impactful, mission-driven organization dedicated to making a difference during life\’s hardest moments.
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AI Engineer employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to fellow AI enthusiasts on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects. Whether it's a cool machine learning model or an innovative algorithm, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI interview questions and practice coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable before the real deal.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of AI Engineer positions waiting for you. Plus, applying directly can sometimes give you an edge over other candidates.
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 relevant skills and experiences that match the job description. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any AI projects, make sure to include them in your application. Whether it's a personal project or something from your studies, we want to see your hands-on experience and creativity!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us!
How to prepare for a job interview at Stott and May
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI. Be ready to discuss your experience with machine learning algorithms, neural networks, and any relevant projects you've worked on. This shows you're not just knowledgeable but also passionate about the field.
✨Prepare for Technical Questions
Expect some technical questions or coding challenges during the interview. Practise solving problems on platforms like LeetCode or HackerRank. This will help you think on your feet and demonstrate your problem-solving skills effectively.
✨Showcase Your Projects
Bring along a portfolio of your work or be prepared to discuss specific projects in detail. Highlight your role, the challenges you faced, and the impact of your contributions. This gives the interviewer a clear picture of your capabilities and how you can add value.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current AI projects, team dynamics, or future goals. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
