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- Tasks: Create cutting-edge AI solutions that enhance human judgement and automate intelligence.
- Company: Global alternative capital investor with a focus on innovative AI engineering.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a team that builds impactful AI products used in real-world applications.
- Qualifications: Experience in Python, machine learning frameworks, and cloud technologies.
- Other info: Dynamic role with a chance to work on high-performance AI systems.
The predicted salary is between 36000 - 60000 £ per year.
Our client, a global alternative capital investor, is building a dedicated AI Engineering capability to productise machine learning and deploy AI at scale across its organisation and portfolio ecosystem. As an AI Engineer, you’ll take cutting-edge models — LLMs, NLP, multimodal — and turn them into secure, scalable and high-performing solutions that automate intelligence and enhance human judgement.
What you’ll build:
- LLM-powered research copilots and knowledge automation tools
- NLP and retrieval-augmented generation (RAG) pipelines
- ML systems deployed with robust CI/CD and MLOps principles
- Cloud-native inference frameworks optimised for latency and scale
You’ll bring experience in:
- Python, vector databases, embeddings, transformers
- PyTorch or TensorFlow, API deployment
- Docker, Kubernetes, cloud (AWS/Azure/GCP)
- Observability, performance tuning, and model lifecycle management
Experience working with enterprise security, compliance or regulated data environments is advantageous. If you’re excited by building AI products that get used — not just prototyped — this role is for you.
Generative AI Engineer in London employer: Anonymous
Contact Detail:
Anonymous Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs, NLP, or any cool AI tools you've built. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Generative AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about building real-world AI products and not just theoretical models. Share any personal projects or experiences that highlight your passion.
Tailor Your Skills to the Role: Make sure to align your skills with what we’re looking for in the job description. Highlight your experience with Python, PyTorch, or TensorFlow, and don’t forget to mention any work you've done with cloud platforms like AWS or Azure. We love seeing how your background fits our needs!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Use bullet points if it helps to make your skills and experiences stand out. Remember, less is often more!
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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Anonymous
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, PyTorch, and Docker. Brush up on your knowledge of LLMs and NLP, as you might be asked to discuss how you would implement these in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about specific projects where you've deployed AI solutions. Highlight your experience with CI/CD and MLOps principles, and be ready to explain how you tackled challenges in performance tuning or model lifecycle management.
✨Understand the Business Context
Research the company’s portfolio and understand how AI can enhance their operations. Be prepared to discuss how your work can contribute to automating intelligence and improving human judgement within their ecosystem.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current AI projects, the team structure, or how they handle compliance in regulated data environments. This demonstrates your enthusiasm and strategic thinking.
