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- Tasks: Lead AI innovation in insurance, focusing on risk modelling and customer engagement.
- Company: Join a world-leading organisation with a progressive culture.
- Benefits: Competitive daily rate, flexible remote work, and professional development support.
- Why this job: Make a real impact in AI while working on exciting projects.
- Qualifications: Experience in AI, machine learning, and programming languages like Python.
- Other info: Dynamic team environment with opportunities for career growth.
6 Month contract initially
Based: Mostly remote with 3 days onsite per week in Redhill, Flexible.
Rate: £575 - £600 p/d - (via Umbrella company)
We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for AI Engineers to join the team.
The AI Engineer will spearhead AI-driven innovation across insurance, annuities, and retirement solutions, focusing on risk modelling, 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.
Key Responsibilities
- Design, develop, and optimize RAG-based solutions integrating retrieval systems with large language models.
- Build and maintain applications using LangChain to orchestrate complex AI workflows.
- Implement and manage vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus) for fast similarity search and retrieval.
- Develop embedding pipelines for unstructured data using models like Sentence Transformers, OpenAI, or Hugging Face.
- Collaborate with data scientists and software engineers to create scalable AI-powered applications.
- Fine-tune and evaluate large language models for specific use cases and domain adaptation.
- Optimize retrieval and generation workflows for performance, accuracy, and cost-efficiency.
- Stay updated on the latest advancements in generative AI, retrieval techniques, and vector search technology.
- Collaborate with cross-functional teams to integrate AI models into products.
- Conduct research to improve existing AI systems and develop new approaches.
- Knowledge of NLP, computer vision, or reinforcement learning.
- Experience deploying AI models in production environments.
Key Skills & 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.
This is an excellent opportunity on a great project of work. If you are looking for your next exciting opportunity, apply now for your CV to reach me directly; we will respond as soon as possible.
AI Engineers (IT) / Contractor in Redhill employer: Free-Work UK
Contact Detail:
Free-Work UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineers (IT) / Contractor in Redhill
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving large language models or vector databases. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and case studies. Practice explaining your thought process when tackling complex problems, as this is often what interviewers are keen to see.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace AI Engineers (IT) / Contractor 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 projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used programming languages like Python or frameworks like TensorFlow in your previous roles. This helps us see your practical experience.
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. Keep it concise but impactful – we love a good story!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Free-Work UK
✨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 implemented AI solutions in the past.
✨Showcase Your Coding Skills
Since programming is key for this role, be prepared to demonstrate your proficiency in languages like Python or R. You might even want to practice coding challenges beforehand to keep your skills sharp!
✨Understand the Company’s Needs
Research the organisation and their focus areas, such as risk modelling and claims automation. Tailor your responses to show how your skills can directly contribute to their projects and goals.
✨Ask Smart Questions
Prepare insightful questions about their current AI projects or future innovations. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
