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- Tasks: Build and operationalise AI systems that automate complex workflows.
- Company: Venture-backed AI tech company focused on reliable, scalable solutions.
- Benefits: Competitive salary, equity options, and a dynamic work environment.
- Why this job: Shape the future of AI with innovative technology in a trusted production setting.
- Qualifications: Experience in deploying AI systems, strong Python skills, and problem-solving abilities.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 130000 - 170000 £ per year.
A venture-backed AI technology company is building production-grade intelligent systems used by large, complex organisations to automate high-stakes workflows. The platform focuses on reliability, scale, and safety, turning experimental AI capabilities into tools that can be trusted in real operational environments. They are hiring an Applied AI Engineer to help design and operate the core systems.
This role is focused on building and operationalising AI systems. You'll be responsible for turning large language models into reliable, observable, and continuously improving production systems.
You'll design and deploy agent-based architectures, retrieval pipelines, and evaluation frameworks. A core part of the role is ensuring these systems behave predictably in real-world conditions, with clear monitoring, feedback loops, and safeguards.
You'll work closely with product, engineering, and commercial teams to translate complex workflows into AI-driven systems that can be trusted to operate autonomously. This is an opportunity to shape how AI agents are designed, tested, and released in a production environment.
Skills and experience
- Experience in deploying AI-powered systems into production
- Strong experience in Python
- Practical experience with RAG architectures
- Clear communication and strong problem-solving instincts
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Applied AI Engineer in London employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. We recommend practicing common AI-related scenarios and coding challenges. The more prepared you are, the more confident you’ll feel!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Applied AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Applied AI Engineer role. Highlight your experience with deploying AI systems and your Python skills. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your ability to design and operate AI systems. We love seeing practical examples of your work, especially if they involve RAG architectures or agent-based systems.
Clear Communication is Key: Since you'll be working closely with various teams, it's important to showcase your communication skills in your application. Use clear and concise language to explain your experiences and how you can contribute to our mission.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Don’t miss out on this opportunity!
How to prepare for a job interview at Data Science Festival
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially how to deploy them into production. Be ready to discuss your experience with large language models and RAG architectures, as these will be key topics during the interview.
✨Showcase Your Python Skills
Since strong experience in Python is a must-have, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that relate to AI system deployment.
✨Communicate Clearly
This role involves working closely with various teams, so clear communication is essential. Practice explaining complex concepts in simple terms, and be prepared to discuss how you've collaborated with product and engineering teams in the past.
✨Problem-Solving Mindset
Be ready to tackle hypothetical scenarios related to AI system behaviour in real-world conditions. Think about how you would ensure reliability and safety in your designs, and be prepared to share examples of how you've solved similar problems before.
