At a Glance
- Tasks: Design and prototype AI solutions using cutting-edge generative AI technologies.
- Company: Aspect, one of London's largest property-maintenance teams with bold growth plans.
- Benefits: Gain hands-on experience, mentorship, and build a portfolio of real AI projects.
- Other info: Collaborative culture that values experimentation and your innovative ideas.
- Why this job: Join us to make a real impact with generative AI in a fast-growing environment.
- Qualifications: Pursuing a Master's in Data Science or related field with strong Python skills.
The predicted salary is between 500 - 1500 € per month.
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.
The Role
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.
You Will
- Prototype RAG pipelines - set up vector stores, devise retrieval strategies, and iterate on prompts
- Fine-tune or adapt foundation models (e.g., Llama-3, GPT-4o) to company-specific data
- Build evaluation harnesses to measure accuracy, latency, and hallucination rates
- Work with Python, LangChain/LlamaIndex, Hugging Face, and cloud LLM endpoints (OpenAI, Azure AI, etc.)
- Collaborate with analysts, engineers, and ops teams to turn PoCs into deployable micro-services
- Present findings to stakeholders, translating technical insight into business value
- Contribute to best-practice docs on prompt engineering, model versioning, and AI governance
About You
You're a problem-solver who loves experimenting, learning fast, and shipping usable prototypes. You pair solid theory with the scrappiness needed in a scale-up environment.
Essential
- 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.) and RAG concepts
- Ability to explain complex ideas clearly to non-technical audiences
- Curiosity about how AI can drive tangible business growth
Nice to Have
- Hands-on work with LangChain, LlamaIndex, or similar orchestration frameworks
- Knowledge of prompt-engineering techniques and evaluation metrics (BLEU, ROUGE, BERTScore, etc.)
- Experience deploying models on Azure, AWS, or GCP
- Understanding of MLOps tools (MLflow, Weights & Biases, GitHub Actions)
- Prior projects that show a creative application of generative AI (link or brief description)
What You'll Gain
- 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
- A collaborative culture that encourages experimentation and values your ideas
AI Engineer Intern in London employer: Aspect
Aspect is an exceptional employer, offering a dynamic work environment where innovation meets real-world impact. As part of one of London’s largest property-maintenance teams, you will gain hands-on experience in cutting-edge AI technologies while collaborating with talented professionals who are committed to your growth. With a strong focus on mentorship and a culture that values experimentation, this internship provides a unique opportunity to contribute to meaningful projects that enhance customer experiences and internal processes.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer Intern in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Aspect on LinkedIn or other platforms. Ask them about their experiences and share your enthusiasm for generative AI. This can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a small project or prototype that showcases your understanding of LLMs or RAG concepts. Share it during interviews or even on your portfolio. It’s a great way to demonstrate your hands-on experience and creativity.
✨Tip Number 3
Prepare for the interview by brushing up on common AI concepts and tools mentioned in the job description. Be ready to discuss how you would approach real-world problems using generative AI. Confidence in your knowledge can really impress the hiring team!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Aspect.
We think you need these skills to ace AI Engineer Intern in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! Talk about any projects or experiences that got you excited about generative AI and how you see it making a difference in real-world scenarios.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your Python skills, any relevant coursework, and hands-on experience with LLMs or RAG concepts. We want to see how your background fits perfectly with what we're looking for!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your technical skills and experiences, especially when discussing complex ideas. Remember, we appreciate clarity just as much as creativity!
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Aspect
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI, LLMs, and RAG concepts. Be ready to discuss how you've used Python and any relevant ML/AI stacks in your projects. Showing that you can connect theory with practical applications will impress the interviewers.
✨Show Off Your Prototyping Skills
Prepare to talk about any prototypes or projects you've worked on, especially those involving chatbots or model fine-tuning. If you have a portfolio, bring it along! Being able to demonstrate your hands-on experience will set you apart from other candidates.
✨Communicate Clearly
Since you'll need to explain complex ideas to non-technical audiences, practice simplifying your explanations. Think about how you would describe your projects to someone without a tech background. This skill is crucial for translating technical insights into business value.
✨Ask Insightful Questions
Prepare some thoughtful questions about Aspect's use of AI and their future plans. This shows your genuine interest in the role and the company. Plus, it gives you a chance to demonstrate your curiosity about how AI can drive tangible business growth.
