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For Companies 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 real-world experience, mentorship, and build a portfolio of impactful projects.
- Other info: Collaborative culture that values experimentation and your innovative ideas.
- Why this job: Join us to harness AI for tangible business growth and improve customer experiences.
- Qualifications: Pursuing or completed a Master’s in Data Science, strong Python skills, and ML/AI stack 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.
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.
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 City of London employer: Aspect
Contact Detail:
Aspect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer 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 us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a mini-project using generative AI or LLMs that relates to property maintenance. Share it on GitHub and include the link in your application to impress the hiring team.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and ML concepts. We want to see how you think, so practice explaining your projects and ideas clearly, especially to non-tech folks.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Engineer Intern in City of London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! Share any projects or experiences that highlight your curiosity and hands-on approach to generative AI. We love seeing candidates who are genuinely excited about the tech!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. Highlight your Python skills, familiarity with LLMs, and any relevant coursework or projects. This helps us see how you fit into our team!
Be Clear and Concise: While we appreciate creativity, clarity is key! Use straightforward language to explain your experiences and ideas. Remember, you might be explaining complex concepts to non-technical folks, so keep it simple and engaging.
Apply Through Our Website: We encourage you to apply directly 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 us you’re keen on joining our team at Aspect!
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 these technologies can be applied in real-world scenarios, especially in the context of improving customer experience and internal workflows.
✨Show Off Your Python Skills
Since strong Python skills are essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain a piece of code, so practice common algorithms and data structures relevant to AI.
✨Prepare to Explain Complex Ideas Simply
You’ll need to communicate technical insights to non-technical stakeholders. Think about how you can break down complex concepts into simple terms. Practise explaining your past projects or experiences in a way that anyone could understand.
✨Bring Your Curiosity
This role is all about experimentation and learning. Be prepared to share examples of how you've approached problem-solving in the past, especially in a fast-paced environment. Show your enthusiasm for AI and how it can drive business growth.