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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 proficiency in Python or R.
- Other info: Dynamic team environment with opportunities for career growth.
The predicted salary is between 42000 - 48000 £ per year.
6 Month contract initially. Based: Mostly remote with 3 days onsite p/w 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.
- 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 in London employer: LA International
Contact Detail:
LA International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineers in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and join 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 RAG-based solutions 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 your knowledge of the latest AI advancements and frameworks. Be ready to discuss how you've implemented AI solutions in past roles and how you can contribute to their projects.
✨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 and make a difference in the AI space.
We think you need these skills to ace AI Engineers in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI frameworks, programming languages, 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. Be sure to mention specific technologies or methodologies from the job description that you’re familiar with.
Showcase Your Projects: If you've worked on any AI-driven projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we love seeing practical examples of your work and how you’ve applied your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re serious about joining our awesome team!
How to prepare for a job interview at LA International
✨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 proficiency in programming languages like Python, R, or Java is key, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to AI applications beforehand.
✨Understand the Role's Responsibilities
Familiarise yourself with the specific responsibilities of the AI Engineer role. Be ready to discuss how you would design and optimise RAG-based solutions or manage vector databases. Tailor your answers to show how your skills align with their needs.
✨Stay Updated on Trends
The field of AI is constantly evolving, so make sure you're up-to-date with the latest advancements in generative AI and retrieval techniques. Mention any recent developments or technologies that excite you during the interview to show your passion for the field.
