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For Companies At a Glance
- Tasks: Build innovative AI solutions and automate workflows in the insurance sector.
- Company: Leading London insurance firm with a focus on cutting-edge technology.
- Benefits: Competitive pay, flexible working, and a chance to work with advanced AI tools.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Strong background in Data Science and AI Engineering, with insurance experience.
- Other info: 6-month contract with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading London insurance firm is looking for a hands-on AI Engineer with a Data Science background to build cutting-edge AI solutions across the business.
Contract & Location
- Contract: 6 months
- IR35: Outside
- Location: London (onsite once per month)
- Start: ASAP
What you'll work on
- Building Agentic AI workflows and automation
- Designing RAG pipelines for insurance data
- Developing LLM-powered tools using Python, LangChain, LlamaIndex, and vector databases
- Evaluating, fine-tuning, and integrating LLMs (OpenAI/Anthropic/Mistral)
- Collaborating with Data Science & Engineering teams to productionise models
What you'll need
- Strong Data Science + AI Engineering background
- Hands-on experience with Agentic AI, RAG, LLMs, LangChain, Python
- Knowledge of vector search, embeddings, and scalable pipelines
- Experience working in enterprise or regulated environments
- Must have insurance domain experience
Please note: This role does not provide sponsorship and all applicants must have full right to work and live in the UK.
AI Engineer- Insurance Experience- 6 Month Contract employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer- Insurance Experience- 6 Month Contract
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and AI sectors. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to insurance. Use platforms like GitHub to share your code and demonstrate your hands-on experience with tools like Python and LangChain.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and RAG pipelines. Be ready to discuss how you've applied these in real-world scenarios. Practice common interview questions and think about how your experience aligns with the role.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team. Don’t forget to tailor your approach based on the job description to stand out!
We think you need these skills to ace AI Engineer- Insurance Experience- 6 Month Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and Data Science, especially in the insurance sector. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific technologies like Python and LangChain that you've worked with, and how they relate to the tasks outlined in the job description.
Showcase Your Projects: If you’ve built any AI solutions or worked on relevant projects, make sure to include them in your application. We love seeing practical examples of your work, especially if they involve LLMs or automation in the insurance space!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Agentic AI, RAG pipelines, and LLMs. Be ready to discuss how you've used Python and tools like LangChain in past projects. The more specific examples you can provide, the better!
✨Showcase Your Insurance Experience
Since this role requires insurance domain experience, be prepared to talk about your previous work in this field. Highlight any projects where you developed AI solutions specifically for insurance, and how they impacted the business.
✨Collaboration is Key
This position involves working closely with Data Science and Engineering teams. Think of examples where you've successfully collaborated with others to productionise models or solve complex problems. Teamwork is crucial, so make it a point to showcase your collaborative skills.
✨Ask Smart Questions
Prepare some insightful questions about the company's current AI initiatives or challenges they face in the insurance sector. This shows your genuine interest in the role and helps you understand if it's the right fit for you.
