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- Tasks: Join our team to design and prototype AI solutions that enhance customer experience.
- Company: Aspect, one of London’s largest property-maintenance teams, embracing generative AI.
- Benefits: Gain hands-on experience, mentorship, and exposure to cutting-edge AI technologies.
- Other info: Dynamic internship with opportunities for growth and real project ownership.
- Why this job: Be part of a pivotal moment in AI innovation and make a real impact.
- Qualifications: Pursuing or completed a Master’s in Data Science, strong Python skills required.
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
Stażysta - Junior Engineer in City of London employer: Aspect
Contact Detail:
Aspect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Stażysta - Junior Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream internship.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to generative AI or machine learning. We love seeing what you can do, so make sure to highlight any hands-on experience you've had with Python or LLMs.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. We want to see how you think on your feet, so practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to dive into the world of AI.
We think you need these skills to ace Stażysta - Junior Engineer in City of London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for generative AI shine through! Share any projects or experiences that highlight your curiosity and hands-on approach to AI. We love seeing candidates who are genuinely excited about the tech and its potential impact.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your Python skills, experience with ML/AI stacks, and any relevant coursework or projects. We want to see how your background aligns with what we’re looking for, so don’t hold back!
Include Relevant Projects: If you’ve worked on any projects involving LLMs, RAG, or prompt engineering, be sure to include them! A link to your portfolio or a brief description of your work can really make your application stand out. We’re keen to see your creative applications of generative AI.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at this exciting time!
How to prepare for a job interview at Aspect
✨Know Your Tech
Make sure you brush up on your Python skills and get familiar with the tools mentioned in the job description, like LangChain and Hugging Face. Being able to discuss your experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about any prior projects you've worked on that involve generative AI or machine learning. If you have a portfolio, bring it along! Highlighting your hands-on experience will demonstrate your problem-solving skills and creativity.
✨Understand the Business Impact
Research how generative AI can drive business growth, especially in property maintenance. Be ready to discuss how your work could improve customer experience or internal workflows at Aspect. This shows that you’re not just technically savvy but also understand the bigger picture.
✨Ask Smart Questions
Prepare thoughtful questions about the role and the company’s plans for scaling with AI. This not only shows your interest but also gives you insight into how you can contribute to their goals. Plus, it makes for a more engaging conversation!