Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design knowledge models and build advanced retrieval systems for real-world data.
- Company: Innovative tech firm focused on transforming information into actionable knowledge.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: High-ownership role with excellent career advancement potential.
- Why this job: Join a small, technical team and make a significant impact in AI-driven knowledge management.
- Qualifications: Experience in knowledge representation, information retrieval, and applied NLP.
The predicted salary is between 60000 - 80000 £ per year.
We're building a foundational intelligence platform that helps organisations turn fragmented information into durable institutional knowledge, enabling better reasoning, faster decisions, and preserved context over time. Our initial focus is private capital, where information is complex and decisions are high stakes. Longer term, we're building core intelligence infrastructure for any information‑led industry.
As an Applied Research Engineer, you'll own the core knowledge and retrieval infrastructure that everything else builds on. You'll work at the intersection of knowledge representation, information retrieval, and applied NLP, translating research ideas into production systems that reason over real‑world, proprietary data. This is a high‑ownership role in a small, deeply technical team.
What You'll Work On:
- Designing knowledge models and ontologies that preserve semantic meaning and relationships
- Building hybrid retrieval systems (graph, structured, sparse, dense) with contextual understanding and re‑ranking
- Developing information extraction pipelines for noisy enterprise documents
- Managing knowledge quality and evolution (provenance, conflict resolution, schema changes)
Applied Research Engineer employer: Gold
Contact Detail:
Gold Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Research Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to knowledge representation and NLP. We want to see what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’d tackle real-world problems. We love candidates who can think critically and apply their skills to our challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who want to join our mission.
We think you need these skills to ace Applied Research Engineer
Some tips for your application 🫡
Show Your Passion for Research: When writing your application, let us see your enthusiasm for applied research! Share specific projects or experiences that highlight your interest in knowledge representation and information retrieval. We love candidates who are genuinely excited about the work we do.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Applied Research Engineer role. Highlight relevant skills and experiences that align with our focus on NLP and knowledge infrastructure. This shows us you’ve done your homework and understand what we’re all about!
Be Clear and Concise: We appreciate clarity in applications. Use straightforward language and get to the point quickly. Avoid jargon unless it’s relevant to the role. Remember, we want to understand your qualifications without wading through unnecessary fluff!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it helps us keep everything organised as we review applications.
How to prepare for a job interview at Gold
✨Know Your Stuff
Make sure you brush up on knowledge representation, information retrieval, and applied NLP. Familiarise yourself with the latest trends and technologies in these areas, as well as any relevant research papers. This will not only help you answer technical questions but also show your passion for the field.
✨Showcase Your Projects
Prepare to discuss specific projects you've worked on that relate to knowledge models, hybrid retrieval systems, or information extraction pipelines. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Ask Insightful Questions
Come prepared with thoughtful questions about the company's approach to building their intelligence platform. Inquire about their current challenges in knowledge quality management or how they envision the evolution of their systems. This shows your genuine interest and helps you assess if the role is a good fit for you.
✨Emphasise Team Collaboration
Since this role involves working in a small, technical team, highlight your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals, especially in high-stakes situations. This will illustrate your ability to thrive in a team-oriented setting.