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For Companies At a Glance
- Tasks: Design and build innovative knowledge models and retrieval systems that make a real impact.
- Company: Join a cutting-edge tech team focused on applied research and knowledge representation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work in a small, dynamic team with a strong sense of ownership and responsibility.
- Why this job: Be at the forefront of technology, turning research into impactful production systems.
- Qualifications: Experience in graph databases, information retrieval, and cloud environments is a plus.
The predicted salary is between 50000 - 70000 £ per year.
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
- 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 employer: Gold Group Ltd
Contact Detail:
Gold Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to knowledge representation and information retrieval. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨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 when solving problems. We want to see how you think!
✨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 at StudySmarter.
We think you need these skills to ace Research Engineer
Some tips for your application 🫡
Show Your Passion for Knowledge Representation: When you write your application, let us see your enthusiasm for knowledge representation and information retrieval. Share specific examples of projects or experiences that highlight your understanding of these areas, as we love candidates who are genuinely excited about the work we do.
Tailor Your Application to Us: Make sure to customise your application to reflect the role of an Applied Research Engineer. Highlight your experience with graph databases, NLP, and any relevant cloud environments like Azure. We want to see how your skills align with our needs!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experience and how it relates to the role. We appreciate candidates who can communicate complex ideas simply, as this reflects the kind of clarity we value in our team.
Apply Through Our Website: Don’t forget to apply 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 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, and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially around knowledge representation and managing data quality. Use examples that highlight your ability to think critically and resolve conflicts in data.
✨Understand the Role's Impact
Demonstrate your understanding of how the role of an Applied Research Engineer fits into the bigger picture. Discuss how your work can influence the technical direction of the platform and contribute to building robust production systems.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company's approach to knowledge architecture and system design. This not only shows your enthusiasm but also helps you gauge if the company aligns with your values and work style.