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- Tasks: Build and evolve AI systems that learn from real-world processes.
- Company: Exciting Series A AI startup with $30M funding.
- Benefits: Competitive salary, meaningful equity, and a chance to work with top talent.
- Other info: Unique opportunity to impact enterprise AI at scale.
- Why this job: Shape the future of AI systems that continuously learn and adapt.
- Qualifications: Experience in production AI systems and human-in-the-loop feedback.
The predicted salary is between 60000 - 80000 £ per year.
Our client is building the next generation of enterprise AI - systems that learn continuously from real-world processes. They're a Series A company backed by $30M in funding and are growing their AI Engineering team to tackle one of the hardest problems in applied AI.
The Role
As an AI Engineer, you’ll work on a core learning system that observes how work actually gets done inside enterprises, codifies it, and continuously improves through feedback. Your work will directly shape how AI agents learn, adapt, and drive operational impact at scale. This is a hands-on role at the intersection of research, engineering, and real-world deployment.
What You’ll Work On
- Core learning systems: Build and evolve AI systems that extract, represent, and refine real operational processes into living, editable playbooks.
- AI that improves over time: Design meta-learning approaches, evaluation pipelines, and feedback loops that enable continuous learning.
- Research to production: Ship research-driven ideas into production systems used by enterprise customers.
- Customer-facing AI: Collaborate directly with enterprise users to deploy AI, gather feedback, and iteratively improve system performance.
What We’re Looking For
- Experience building production AI systems or complex LLM-powered applications that improve over time.
- Commercial experience working with agentic AI systems.
- Hands-on work with human-in-the-loop feedback, evaluation frameworks, or continuous learning pipelines.
- Comfort operating at the boundary between research and real-world impact.
- Deep learning experience is a plus, but production experience matters most.
Why Join
- Extremely competitive salary
- Meaningful equity
- Work alongside some of the best talent in applied AI
- A rare opportunity to shape how the next generation of AI systems learn and evolve
If you’re excited about building AI systems that don’t just run workflows but learn from the world, we’d love to hear from you.
Staff AI Engineer in London employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at startups. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source initiatives. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies in a startup environment.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to shape the future of AI. Your next big opportunity could be just a click away!
We think you need these skills to ace Staff AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with production AI systems and complex LLM-powered applications. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about building AI systems that learn from real-world processes. Let us know how your background makes you a great fit for our team.
Showcase Your Hands-On Experience: We love seeing practical experience! Be sure to mention any hands-on work you've done with human-in-the-loop feedback or continuous learning pipelines. This will help us understand your approach to real-world deployment.
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 this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially those that improve over time. Be ready to discuss your experience with production AI systems and how you've tackled complex problems in the past.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of your hands-on work with human-in-the-loop feedback and continuous learning pipelines. This role is all about real-world impact, so highlight how your contributions have made a difference.
✨Understand Their Vision
Familiarise yourself with the company's mission to build next-gen enterprise AI. Think about how your skills align with their goals and be ready to discuss how you can contribute to shaping AI systems that learn and adapt.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in their projects and challenges. Inquire about their current AI systems, the feedback loops they use, and how they envision the future of their technology. This will demonstrate your enthusiasm and engagement.