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- Tasks: Design and deploy cutting-edge generative AI tools that empathise and adapt.
- Company: Join a fearless team at the forefront of the generative AI revolution.
- Benefits: Remote work flexibility, competitive salary, and opportunities for creative innovation.
- Why this job: Influence how machines understand humans and shape the future of AI.
- Qualifications: 3+ years in Machine Learning or NLP with a flair for Python and prompts.
- Other info: Be part of a dynamic environment that encourages bold experimentation and growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: Remote / London Hybrid
Type: Full-time | Mid-Senior
This is where science becomes story. You’ll join a team crafting generative AI tools that don’t just automate, they empathise. Think LLMs that speak with rhythm, recommend with intent, and adapt in real-time. The team is lean, literary, and fearless. We experiment boldly, fail quickly, and code with reverence for nuance.
What you’ll do:
- Design, fine-tune and deploy LLMs for real-world use.
- Optimise token pipelines, embeddings, and prompt logic.
- Work across Python, TensorFlow/PyTorch, and NLP tooling.
- Collaborate with backend and product teams to turn theory into function.
What you bring:
- 3+ years in Machine Learning or NLP.
- Experience with LLMs, transformers, or reinforcement learning.
- Command of Python and a poetic instinct for prompts.
- Curiosity, courage and creative precision.
What this gives you:
- A front-row seat to the generative AI revolution.
- The thrill of influencing how machines understand humans.
- A platform to invent what’s next, before the rest of the world catches on.
AI Engineer, Generative AI Systems in City of London employer: Protodigy
Contact Detail:
Protodigy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer, Generative AI Systems in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with generative AI. Join online forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and NLP. Share your code on GitHub or write about your experiences on a blog. This not only demonstrates your expertise but also your passion for the field.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to machine learning and NLP. But don’t stop there! Be ready to discuss your thought process and how you approach problem-solving. We want to see your creative side shine through!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team. Don’t forget to tailor your application to highlight your experience with LLMs and your poetic instinct for prompts!
We think you need these skills to ace AI Engineer, Generative AI Systems in City of London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for generative AI shine through. We want to see that you’re not just skilled, but also genuinely excited about crafting tools that empathise and adapt.
Tailor Your Experience: Make sure to highlight your experience with LLMs, transformers, and any relevant projects. We love seeing how your background aligns with our mission, so don’t hold back on the details!
Be Creative with Your Prompts: Since we value a poetic instinct for prompts, consider including examples of your work or unique approaches you've taken in past projects. This is your chance to showcase your creative precision!
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 don’t miss out on any important updates from our team.
How to prepare for a job interview at Protodigy
✨Know Your LLMs
Dive deep into the world of large language models. Be prepared to discuss your experience with them, including any specific projects you've worked on. Highlight how you've fine-tuned or deployed LLMs in real-world scenarios, as this will show your practical knowledge and expertise.
✨Showcase Your Coding Skills
Since the role requires proficiency in Python and frameworks like TensorFlow or PyTorch, brush up on your coding skills. Be ready to solve coding challenges or discuss your approach to optimising token pipelines and embeddings during the interview. This will demonstrate your technical prowess.
✨Emphasise Collaboration
This position involves working closely with backend and product teams. Prepare examples of past collaborations where you turned theoretical concepts into functional applications. Highlight your ability to communicate complex ideas clearly and work effectively within a team.
✨Bring Your Curiosity
The job description mentions curiosity and creative precision. Be ready to discuss how you stay updated with the latest trends in generative AI and NLP. Share any personal projects or experiments that showcase your passion for innovation and your willingness to explore new ideas.