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For Companies At a Glance
- Tasks: Design knowledge models and build retrieval systems that enhance decision-making.
- 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 a focus on real-world impact and intellectual honesty.
- Why this job: Join a small, technical team and shape the future of knowledge architecture.
- 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.
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, and prefer foundational infrastructure over surface level AI features.
Applied Research Engineer in Slough employer: Gold Group
Contact Detail:
Gold Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Research Engineer in Slough
✨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!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in knowledge representation and NLP. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, let your work speak for itself. We love seeing real-world applications of your skills, especially when it comes to building robust systems.
✨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, we’re always looking for passionate individuals who want to make an impact in the field.
We think you need these skills to ace Applied Research Engineer in Slough
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 examples of projects where you’ve built systems that understand context, as this aligns perfectly with what we’re looking for.
Highlight Relevant Experience: Make sure to emphasise your experience with graph databases, information retrieval systems, or any enterprise cloud environments like Azure. We want to know how your background fits into the role of Applied Research Engineer, so don’t hold back!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, especially when discussing complex topics like hybrid retrieval systems or information extraction pipelines. Use simple language to explain your ideas and experiences.
Apply Through Our Website: We encourage you 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 on joining our team at StudySmarter!
How to prepare for a job interview at Gold Group
✨Know Your Stuff
Make sure you brush up on knowledge representation, information retrieval, and applied NLP. Be ready to discuss your experience with graph databases and how you've built systems that understand context. This role is all about the details, so showing off your technical know-how will definitely impress.
✨Show 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 turned research ideas into production systems or managed knowledge quality. This will demonstrate your ownership mentality and ability to work from first principles.
✨Ask Smart Questions
Interviews are a two-way street! Prepare insightful questions about their current projects, the architecture of their knowledge systems, and how they envision the future of their intelligence platform. This shows you're genuinely interested and helps you gauge if it's the right fit for you.
✨Be Yourself
While it's important to showcase your skills, don't forget to let your personality shine through. They’re looking for someone who values intellectual honesty and pragmatic decision-making. So, be authentic and share your passion for building foundational infrastructure over surface-level AI features.