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- 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.
- Why this job: Join a small, ambitious team and make a real impact in AI technology.
- Qualifications: Strong academic background and experience with knowledge graphs and information retrieval.
- Other info: Genuine ownership from day one with high visibility and influence.
The predicted salary is between 42000 - 84000 £ 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:
- 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 City of London employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 or GitHub repository showcasing your projects related to knowledge graphs and information retrieval. This gives us a chance to see your work in action and understand how you can contribute to our team.
✨Tip Number 3
Prepare for those interviews! Research common questions for applied research engineers and practice your responses. We want to see your thought process, so be ready to discuss your past projects and how they relate to the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly and show genuine interest in joining our ambitious team.
We think you need these skills to ace Research Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with knowledge graphs and information retrieval. We want to see how your academic background and past projects align with the role of a Founding Applied Research Engineer.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Your Projects: Don’t just list your experiences; showcase them! Include specific examples of high ownership projects you've worked on, especially those related to building information retrieval systems or knowledge graphs. We want to see your impact!
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 don’t miss out on any important updates from us. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Arrows
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, knowledge graphs, and information retrieval. 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 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 model. 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 be genuine and express your passion for the work they do. Authenticity can set you apart from other candidates.