At a Glance
- Tasks: Design and develop cutting-edge knowledge models and retrieval systems.
- Company: Innovative tech firm focused on transforming information into actionable insights.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those who value ownership and want to shape core platform architecture.
- Why this job: Join a small, technical team and make a real impact on foundational intelligence.
- Qualifications: Experience in graph databases, information retrieval, and cloud environments.
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.
This is not a chat interface on top of documents or workflow automation; we’re building the intelligence layer underneath.
The Role
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)
- Turning research into robust, production grade infrastructure
What We’re Looking For
We’re especially interested in candidates with experience in one or more of the following areas:
- Graph databases and graph based systems (ideally Neo4j or similar)
- Information retrieval systems, including search, ranking and semantic retrieval
- Enterprise cloud environments, particularly Azure and operating production systems at scale
In addition, you’ll likely have:
- A strong background in IR, NLP, knowledge representation, or a related field
- Experience shipping real systems, not just prototypes or research code
- Careful thinking around how information should be structured to support reasoning
- Comfort working from first principles in an early‑stage environment
- A high sense of ownership and responsibility for core systems
This Role Is a Good Fit If You…
- Care about the architecture of knowledge, not just model performance
- Enjoy building systems that genuinely understand context, not just embeddings
- Want to influence the technical direction of a core platform
- Value intellectual honesty and pragmatic decision making
- Prefer foundational infrastructure over surface level AI features
Research Engineer in London employer: Gold Group Ltd
As an Applied Research Engineer at our London-based company, you'll be part of a pioneering team dedicated to transforming complex information into actionable knowledge. We foster a collaborative and innovative work culture that prioritises employee growth through hands-on experience and ownership of impactful projects. With a hybrid working model and a focus on cutting-edge technology, we offer a unique opportunity to shape the future of intelligence infrastructure in a supportive environment.
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 professionals on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to knowledge representation and information retrieval. This gives us a tangible way to see what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of graph databases and NLP. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Research Engineer in London
Some tips for your application 🫡
Show Your Passion for Knowledge Architecture:When writing your application, let us see your enthusiasm for knowledge representation and how it influences decision-making. Share specific examples of projects where you’ve designed systems that understand context, as this aligns perfectly with what we value.
Highlight Relevant Experience:Make sure to emphasise your experience with graph databases, information retrieval systems, and cloud environments like Azure. We want to know how your background fits into the role, so don’t hold back on those details!
Be Clear and Concise:We appreciate straightforward communication. Keep your application clear and to the point, focusing on your key achievements and how they relate to the responsibilities of the Applied Research Engineer role. Avoid jargon unless it’s relevant!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Gold Group Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of graph databases and information retrieval systems. Be ready to discuss your experience with Neo4j or similar technologies, as well as any projects where you've built hybrid retrieval systems. This will show that you understand the core requirements of the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially those related to knowledge representation and NLP. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating how you turned research ideas into production systems.
✨Demonstrate Ownership
This role requires a high sense of ownership, so be ready to share examples of how you've taken responsibility for core systems in past projects. Highlight instances where you managed knowledge quality or resolved conflicts, showing that you can handle the complexities of the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to building foundational intelligence infrastructure. Inquire about their long-term vision and how they see the role of an Applied Research Engineer evolving. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
