Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI innovation in insurance, focusing on risk modeling and customer engagement.
- Company: Join a forward-thinking company revolutionising the insurance industry with AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by developing cutting-edge AI solutions that enhance customer trust.
- Qualifications: Experience in AI, machine learning, and proficiency in Python or R required.
- Other info: Dynamic team environment with exciting projects and career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
The AI Engineer will spearhead AI-driven innovation across insurance, annuities, and retirement solutions, focusing on risk modeling, claims automation, fraud detection, customer engagement, and personalized retirement planning. This role ensures the development and deployment of AI solutions that improve operational efficiency, regulatory compliance, and customer trust while leveraging advanced analytics and automation.
Your responsibilities include:
- Designing, developing, and optimizing RAG-based solutions integrating retrieval systems with large language models.
- Building and maintaining applications using LangChain to orchestrate complex AI workflows.
- Implementing and managing vector databases for fast similarity search and retrieval.
- Developing embedding pipelines for unstructured data using models like Sentence Transformers, OpenAI, or Hugging Face.
- Collaborating with data scientists and software engineers to create scalable AI-powered applications.
- Fine-tuning and evaluating large language models for specific use cases and domain adaptation.
- Optimizing retrieval and generation workflows for performance, accuracy, and cost-efficiency.
- Staying updated on the latest advancements in generative AI, retrieval techniques, and vector search technology.
- Collaborating with cross-functional teams to integrate AI models into products.
- Conducting research to improve existing AI systems and develop new approaches.
Knowledge of NLP, computer vision, or reinforcement learning is essential, along with experience deploying AI models in production environments.
Your Profile:
Essential skills/knowledge/experience:
- Proven experience in AI, machine learning, or deep learning.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with AI frameworks like TensorFlow, PyTorch, or Keras.
- Experience with large language models (GPT, BERT, etc.).
- Fine-tuning and prompt engineering.
- Experience with vector similarity search.
- Knowledge of popular vector DBs: Pinecone, Weaviate, FAISS, Vespa, Milvus.
- Generating and managing embeddings (using models like SentenceTransformers, OpenAI, Hugging Face).
- Familiarity with LangChain for building LLM-powered applications.
- Ability to create chains, prompts, and agents.
Desirable skills/knowledge/experience:
- Experience with data ingestion, indexing, and querying.
- Working with unstructured data (text, documents, images).
AI Engineers in Redhill employer: Avance Consulting
Contact Detail:
Avance Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineers in Redhill
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving large language models or vector databases. We want to see what you can do, so make it easy for potential employers to see your talent.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and case studies. We recommend practicing with friends or using mock interview platforms to get comfortable discussing your experience and knowledge.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineers in Redhill
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI, machine learning, and any relevant programming languages like Python or R. We want to see how your skills align with our needs!
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 mission at StudySmarter. Be specific about your experiences with AI frameworks and large language models.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's fine-tuning models or building applications with LangChain, we love seeing real-world examples of your work.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Avance Consulting
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, machine learning, and deep learning. Be ready to discuss your experience with frameworks like TensorFlow or PyTorch, and have examples of how you've fine-tuned models or worked with large language models at the ready.
✨Showcase Your Coding Skills
Since programming is key for this role, be prepared to demonstrate your proficiency in languages like Python, R, or Java. You might even want to practice coding challenges or algorithms that relate to AI workflows to show off your skills.
✨Talk About Collaboration
This role involves working closely with data scientists and software engineers, so be ready to share examples of how you've successfully collaborated in the past. Highlight any projects where teamwork led to innovative AI solutions or improved operational efficiency.
✨Stay Current with Trends
The AI field is always evolving, so make sure you’re up-to-date with the latest advancements in generative AI and vector search technology. Mention any recent research or developments you've followed, and how they could apply to the role you're interviewing for.
