At a Glance
- Tasks: Design and develop knowledge models and retrieval systems for cutting-edge intelligence platforms.
- Company: Innovative tech firm focused on transforming information into actionable insights.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: High-ownership role with potential for significant career advancement.
- Why this job: Join a small, technical team and make a real impact on foundational intelligence infrastructure.
- Qualifications: Experience in information retrieval, NLP, or knowledge representation is preferred.
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
We will contact you within the next 14 days if you are selected for interview.
Applied Research Engineer (Not Specified) in Kensington employer: Gold Group Ltd
As an Applied Research Engineer in our London-based hybrid team, you'll be part of a pioneering company dedicated to transforming fragmented information into actionable knowledge. We foster a collaborative and innovative work culture that prioritises employee growth, offering opportunities to influence the technical direction of our foundational intelligence platform. With a focus on meaningful projects and a commitment to intellectual honesty, we provide a unique environment where your contributions will have a lasting impact.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Research Engineer (Not Specified) in Kensington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of graph databases and NLP. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨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 are proactive about their job search.
We think you need these skills to ace Applied Research Engineer (Not Specified) in Kensington
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 don’t forget to mention your ownership mindset!
Showcase Your Technical Skills:We want to see your technical prowess! Include details about your experience with graph databases, enterprise cloud environments, and any real systems you've shipped. This is your chance to shine!
Apply Through Our Website:For the best chance of success, make sure you apply through our website. It helps us keep track of applications and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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 that you can translate research into practical solutions.
✨Show Your Ownership Mindset
This role is all about high ownership, so come prepared with examples of how you've taken responsibility for projects in the past. Talk about challenges you faced and how you tackled them, especially in early-stage environments.
✨Understand the Company’s Vision
Familiarise yourself with the company's mission to build foundational intelligence platforms. Think about how your skills can contribute to this vision and be ready to share your thoughts on the architecture of knowledge and context understanding.
✨Ask Insightful Questions
Prepare some thoughtful questions that show your interest in the role and the company. Ask about their approach to knowledge representation or how they handle schema changes. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
