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- Tasks: Design and prototype AI solutions using cutting-edge technologies to enhance customer experience.
- Company: Aspect, one of London’s largest property-maintenance teams with bold growth plans.
- Benefits: Gain hands-on experience, mentorship from experts, and exposure to real-world AI projects.
- Other info: Dynamic internship with opportunities for creativity and professional growth.
- Why this job: Join us at a pivotal moment and make a real impact with generative AI.
- Qualifications: Pursuing or completed a Master’s in Data Science, strong Python skills, and AI project experience.
The predicted salary is between 20000 - 30000 £ per year.
About Us
Covering more trades than anyone else, Aspect is one of London’s largest property-maintenance teams. We operate 24/7, helping thousands of residential and commercial customers every month. After 15 years of steady growth, we have bold plans to scale even faster over the next three years—and we’re harnessing generative AI to get there. If you’re excited by cutting-edge tech and real-world impact, join us at this pivotal moment.
We’re looking for an inquisitive, hands-on AI Engineer Intern (Generative AI / LLM / RAG) for a 4-month internship programme. You’ll join our data and product teams to design, prototype, and evaluate solutions that leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to improve customer experience, internal workflows, and decision-making.
Think: building chatbots that tap our knowledge base, fine-tuning models on call-centre transcripts, or creating smart agents that surface the right maintenance engineer in seconds. You’ll see first-hand how generative AI moves the needle for a growing business.
- Fine-tune or adapt foundation models (e.g., Llama-3, GPT-4o) to company-specific data
- Work with Python, LangChain/LlamaIndex, Hugging Face, and cloud LLM endpoints (OpenAI, Azure AI, etc.)
- Contribute to best-practice docs on prompt engineering, model versioning, and AI governance
You’re a problem-solver who loves experimenting, learning fast, and shipping usable prototypes. Currently pursuing (or recently completed) a Master’s in Data Science, Machine Learning, AI, or similar.
- Strong Python skills and experience with a modern ML/AI stack (PyTorch, Transformers, or equivalent)
- Familiarity with vector databases (FAISS, Pinecone, Qdrant, Chroma, etc.)
- Curiosity about how AI can drive tangible business growth
- Knowledge of prompt-engineering techniques and evaluation metrics (BLEU, ROUGE, BERTScore, etc.)
- Experience deploying models on Azure, AWS, or GCP
- Prior projects that show a creative application of generative AI (link or brief description)
- Ownership of real AI projects that reach production users
- Mentorship from senior data scientists and engineers
- Deep exposure to LLM tooling, RAG architectures, and AI evaluation best practices
- A portfolio of deliverables demonstrating end-to-end generative-AI workflows
Engineering & Technology Intern in City of London employer: Aspect
Contact Detail:
Aspect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering & Technology Intern in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Aspect on LinkedIn. A friendly chat can give you insider info and might just lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio piece that highlights your experience with generative AI. Bring it up in interviews to demonstrate your hands-on abilities.
✨Tip Number 3
Be curious and ask questions during interviews. Show your enthusiasm for how AI can impact the business. It’s a great way to connect with the team and show you’re genuinely interested.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Engineering & Technology Intern in City of London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and technology shine through. We want to see how excited you are about generative AI and its potential impact on real-world problems. Share any relevant projects or experiences that highlight your curiosity and hands-on approach!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this internship. Highlight your Python skills, experience with ML/AI stacks, and any projects related to LLMs or RAG. We love seeing how your background aligns with what we’re doing at Aspect, so don’t hold back!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the position.
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. Plus, it shows you’re serious about joining our team at this exciting time in our growth journey.
How to prepare for a job interview at Aspect
✨Know Your Tech
Make sure you brush up on your knowledge of Python and the modern ML/AI stack. Be ready to discuss your experience with tools like PyTorch, Transformers, and any vector databases you've worked with. Showing that you can talk the talk will impress the interviewers!
✨Showcase Your Projects
Prepare a portfolio of your previous projects that highlight your creative use of generative AI. Whether it's a chatbot or a model fine-tuned on specific data, be ready to explain your thought process and the impact of your work. Real-world examples will make you stand out!
✨Ask Smart Questions
Interviews are a two-way street! Prepare insightful questions about how the company is leveraging generative AI and what challenges they face. This shows your genuine interest in their work and helps you gauge if it’s the right fit for you.
✨Demonstrate Your Curiosity
Aspect is looking for inquisitive minds, so don’t hold back on expressing your curiosity about AI and its applications. Share your thoughts on how AI can drive business growth and be ready to discuss any recent trends or innovations in the field.