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- Tasks: Build AI-powered features using cutting-edge technologies like large language models and APIs.
- Company: Join a forward-thinking tech company shaping the future of AI.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a steady rhythm and great career advancement potential.
- Why this job: Make a real impact by solving user problems with innovative AI solutions.
- Qualifications: Experience in Python or TypeScript and a passion for AI development.
The predicted salary is between 50000 - 70000 £ per year.
Thinking about becoming an AI engineer in the UK? Build AI-powered features by integrating large language models, vector databases and APIs into real products. This guide covers what the role actually involves day-to-day, the salary you can realistically expect, the skills and qualifications you'll need, and the practical steps to get started – whether you're starting fresh or switching from another path.
What does an AI engineer do day-to-day?
Every day is different. You'll like shipping working software and applying cutting‑edge AI to real user problems, more than writing research papers, solving problems and keeping moving things forward. Build AI-powered features by integrating large language models, vector databases and APIs into real products.
- Python or TypeScript
- LLM APIs and prompting
- RAG and vector DBs
- Systems design
Work style – office or remote, deep focus + cross‑team collaboration. Day rhythm – a steady weekly rhythm with regular routines.
Skills you'll need as an AI engineer:
- Python or TypeScript
- LLM APIs and prompting
- RAG and vector DBs
- Evaluation and testing
How to become an AI engineer in the UK:
- Look up AI Engineer roles on LinkedIn or Indeed and read 5 real job ads.
- Talk to someone already working as an AI Engineer – even a 15‑minute call helps.
- Find one beginner course or qualification used by people in this role.
- Build one small piece of evidence you've explored this (project, shadowing, short course).
- Apply to one entry‑level role or related opportunity within the next month.
Do you need qualifications to be an AI engineer?
Qualifications for AI engineer work: Helpful (CS, maths) but strong portfolios are accepted. The exact requirements depend on the employer and specialism, so check job adverts in your target area before committing to a long study route.
Specialisations within AI Engineer:
- LLM Application Engineer: Build chatbots, copilots and AI features on top of foundation models. Entry route: Move from SWE + ship 2‑3 LLM side‑projects.
- Own the full AI feature lifecycle – design, prototype, ship, evaluate. Entry route: Strong product engineer + AI portfolio.
Explore related paths: See how AI engineer fits into wider career groups – or read deeper on the topics most relevant to you.
AI Engineer in London employer: Tony Knows
Contact Detail:
Tony Knows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Get your hands dirty with projects! Build something small using Python or TypeScript that showcases your skills. This not only boosts your portfolio but also gives you real-world experience to chat about in interviews.
✨Tip Number 2
Network like a pro! Reach out to current AI engineers on LinkedIn or through local meetups. A quick chat can provide insights and might even lead to job opportunities. Don’t be shy; we’re all in this together!
✨Tip Number 3
Tailor your approach! When applying for roles, make sure to highlight relevant skills like LLM APIs and vector databases. Use the job description as your guide to show how you fit the bill perfectly.
✨Tip Number 4
Apply through our website! We’ve got loads of entry-level roles waiting for you. The sooner you apply, the quicker you can start your journey as an AI engineer. Let’s get you on board!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, TypeScript, and any relevant projects involving LLM APIs or vector databases. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you've applied your skills in real-world scenarios. Let us know why you're excited about the opportunity at StudySmarter and how you can contribute to our team.
Showcase Your Projects: If you've worked on any AI-related projects, make sure to include them in your application. Whether it's a chatbot or an LLM side-project, we love seeing practical examples of your work. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our system smoothly. Plus, it shows us you're keen on joining the StudySmarter family!
How to prepare for a job interview at Tony Knows
✨Know Your Tech Stack
Make sure you’re well-versed in Python or TypeScript, as these are crucial for the role. Brush up on LLM APIs and vector databases, and be ready to discuss how you've used them in past projects or how you plan to integrate them into real products.
✨Showcase Your Projects
Bring along a portfolio of your work, especially any small projects that demonstrate your understanding of AI features. Whether it’s a chatbot or an AI-powered application, having tangible evidence of your skills will impress interviewers.
✨Understand the Day-to-Day
Familiarise yourself with what an AI engineer does daily. Be prepared to discuss how you would approach shipping working software and solving user problems, rather than just focusing on theoretical knowledge.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI projects and their tech stack. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.