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: High-ownership role with a focus on meaningful, context-driven systems.
- Why this job: Join a small, technical team and make a real impact on foundational intelligence infrastructure.
- 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
Applied Research Engineer in Oxford employer: Gold Group
As an Applied Research Engineer at our innovative London-based company, you'll be part of a dynamic and collaborative team dedicated to transforming complex information into actionable insights. We offer a hybrid work environment that promotes flexibility and work-life balance, alongside opportunities for professional growth in cutting-edge technologies like NLP and information retrieval. Join us to make a meaningful impact in the field of knowledge representation while enjoying a culture that values ownership, intellectual curiosity, and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Research Engineer in Oxford
✨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 lead to job opportunities.
✨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. We recommend practicing coding challenges and discussing your thought process out loud to impress interviewers.
✨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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace Applied Research Engineer in Oxford
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Applied Research Engineer role. Highlight your experience with knowledge representation, information retrieval, and NLP, as these are key areas for us.
Showcase Your Projects:Include specific examples of projects you've worked on that relate to graph databases or information retrieval systems. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity and directness, especially when discussing complex topics like knowledge models and hybrid retrieval systems.
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 without any hiccups!
How to prepare for a job interview at Gold Group
✨Know Your Stuff
Make sure you brush up on your knowledge of graph databases, information retrieval systems, and NLP. Be ready to discuss specific projects you've worked on that relate to these areas, as this will show your expertise and how it aligns with the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in past roles. Think about examples where you've designed knowledge models or built retrieval systems, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Company’s Vision
Familiarise yourself with StudySmarter's mission to build foundational intelligence platforms. Be prepared to discuss how your skills can contribute to turning fragmented information into durable knowledge, and why you're excited about this vision.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about the team dynamics, the challenges they face in building their systems, or how they measure success in their projects. This shows you're engaged and serious about the opportunity.
