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- Tasks: Design and build innovative knowledge models and retrieval systems for real-world data.
- Company: Join a pioneering tech firm focused on transforming information into actionable insights.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a small, technical team with high ownership and responsibility.
- Why this job: Make a real impact by shaping the future of intelligence infrastructure.
- Qualifications: Experience in graph databases, information retrieval, and a passion for knowledge representation.
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.
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
Applied Research Engineer in London employer: Gold Group Ltd
Contact Detail:
Gold Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied 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. We all know that sometimes it’s not just what you know, but who you know that can help you land that Applied Research Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to knowledge representation and information retrieval. We want to see how you’ve turned research into real-world applications, so don’t hold back!
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of graph databases and enterprise cloud environments. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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 engage directly with us.
We think you need these skills to ace Applied Research Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Applied Research Engineer role. Highlight your experience in knowledge representation, information retrieval, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about building foundational intelligence platforms. Share specific examples of how you've turned research ideas into production systems and what excites you about this role.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Whether it’s graph databases or enterprise cloud environments, make sure we see how your background fits with our needs for this position.
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’re considered for the role. Plus, it shows you’re keen on joining our team!
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, information retrieval systems, and NLP. Be ready to discuss how you've applied these in real-world scenarios, not just in theory. This shows you're not only familiar with the concepts but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Think about examples where you designed knowledge models or built retrieval systems. This will demonstrate your ability to think critically and apply your skills effectively.
✨Understand the Company’s Vision
Familiarise yourself with the company's mission to build foundational intelligence platforms. Be ready to discuss how your background aligns with their goals and how you can contribute to their long-term vision. This shows that you're genuinely interested in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the industry. Inquire about their approach to knowledge representation or how they handle schema changes. This not only shows your enthusiasm but also your critical thinking skills and engagement with the subject matter.