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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 a Master’s in Data Science or related field with strong Python skills.
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.
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 Slough employer: Aspect
Contact Detail:
Aspect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer Intern in Slough
✨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 get your foot in the door.
✨Tip Number 2
Show off your skills! Create a mini-project that showcases your Python prowess and understanding of generative AI. Share it on GitHub and include the link in your application – it’ll make you stand out!
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of RAG and LLMs. Be ready to discuss how you’d apply these concepts to real-world problems at Aspect – they love innovative thinkers!
✨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.
We think you need these skills to ace AI Engineer Intern in Slough
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about generative AI and its real-world applications. Share any projects or experiences that highlight your curiosity and creativity in this field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AI Engineer Intern role. Highlight relevant skills like Python programming and experience with ML/AI stacks. We love seeing how your background aligns with what we do, so don’t hold back on showcasing your strengths!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, especially when it comes to complex ideas. Use simple language to explain your technical skills and experiences, making it easy for us to understand your potential impact.
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!
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 or data manipulation tasks that could come up during the interview.
✨Prepare Your Projects
Have a couple of your past projects ready to discuss, especially those involving generative AI or machine learning. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This will show your hands-on experience and problem-solving skills.
✨Communicate Clearly
You’ll need to explain complex ideas to non-technical audiences, so practice simplifying your explanations. Think about how you would describe your projects or technical concepts to someone without a tech background, as this will be crucial in your role.