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 potential for significant career advancement.
- Why this job: Join a small, technical team and make a real impact on foundational intelligence.
- 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 Cheltenham 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 building cutting-edge intelligence infrastructure. We offer a hybrid work environment that promotes flexibility and work-life balance, alongside opportunities for professional growth and development in a rapidly evolving field. Join us to make a meaningful impact in transforming complex information into actionable knowledge, all while enjoying a culture that values intellectual curiosity and ownership.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Research Engineer in Cheltenham
✨Tip Number 1
Network like a pro! Reach out to people 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 or GitHub repository showcasing your projects related to knowledge representation, information retrieval, or NLP. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on relevant concepts and practising coding challenges. Focus on areas like graph databases and information retrieval systems, as these are key to the role of an Applied Research Engineer.
✨Tip Number 4
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 and contributing to our foundational intelligence platform.
We think you need these skills to ace Applied Research Engineer in Cheltenham
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 specific examples of projects where you’ve designed 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, and any cloud environments you've worked in. We want to know how your background fits into the role of Applied Research Engineer, so don’t hold back on those details!
Be Clear and Concise:While we love a good story, keep your application clear and to the point. Use straightforward language to explain your skills and experiences, making it easy for us to see why you’d be a great fit for our team.
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 at StudySmarter!
How to prepare for a job interview at Gold Group
✨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, as well as any projects where you've built hybrid retrieval systems. This will show that you’re not just 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, especially around knowledge representation and NLP. Think of examples where you turned research ideas into production systems. This will demonstrate your ability to apply theoretical knowledge to real-world problems, which is crucial for this role.
✨Emphasise Ownership and Responsibility
This position requires a high sense of ownership, so be ready to share instances where you took charge of a project or system. Discuss how you managed knowledge quality and evolution, and how you approached conflict resolution. This will highlight your readiness for a high-ownership role in a technical team.
✨Align with Their Vision
Understand the company's mission to build foundational intelligence infrastructure. Be prepared to discuss how your values align with theirs, particularly regarding intellectual honesty and pragmatic decision-making. Showing that you care about the architecture of knowledge will resonate well with the interviewers.
