At a Glance
- Tasks: Design knowledge graphs and build advanced information retrieval systems.
- Company: Early stage deep tech start-up in London focused on AI for private market investing.
- Benefits: Salary up to £70k, substantial equity, and hybrid working model.
- Other info: Opportunity to conduct original research and influence foundational AI technology.
- Why this job: Join a small, ambitious team and have genuine ownership from day one.
- Qualifications: Strong academic background and experience with knowledge graphs and information retrieval.
The predicted salary is between 70000 - 70000 € per year.
I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit teams.
They are hiring a Founding Applied Research Engineer to join at early stage, with real ownership of the depth of knowledge and retrieval infrastructure. This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects. Experience with knowledge graphs and information retrieval is essential:
- Responsibilities
- Design knowledge graphs
- Build advanced information retrieval systems
- Create robust information extraction pipelines
- Translate research into production infrastructure
On offer
- The opportunity to build a deep tech AI model and conduct original, applied research
- Founding engineer responsibility with high visibility and influence
- Hybrid working model in London
- Salary up to £70k plus substantial equity
- Genuine ownership over what is built from day one
If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.
Research Engineer in London employer: LinkedIn
Join an innovative early-stage deep tech start-up in London, where you will have the unique opportunity to shape the future of AI-driven investment intelligence. With a strong emphasis on employee ownership and influence, this role offers a collaborative work culture, hybrid working arrangements, and substantial equity alongside a competitive salary, making it an ideal environment for personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to knowledge graphs and information retrieval. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to applied research engineering. We recommend doing mock interviews with friends or using online platforms 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 noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Engineer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your academic background and any relevant projects you've worked on. We want to see how your experience aligns with the role of a Research Engineer, especially in knowledge graphs and information retrieval.
Tailor Your Application:Don’t just send a generic CV and cover letter. Take the time to tailor your application to our specific needs. Mention how your skills can help us build that AI native intelligence layer we’re after!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
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 LinkedIn
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, knowledge graphs, and information retrieval systems. Be ready to discuss your academic background and any relevant projects you've worked on. This is your chance to show how your expertise aligns with the company's goals.
✨Showcase Your Projects
Prepare to talk about specific high ownership projects you've been involved in. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and ability to take initiative, which are crucial for a founding engineer.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company and its mission. Ask about their current projects, the technology stack they use, or how they envision the future of their AI platform. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Be Yourself
While it's important to be professional, don't forget to let your personality shine through. The team is looking for someone who fits well within their culture, so being authentic can help you stand out. Share your passion for deep tech and how you see yourself contributing to their vision.
