At a Glance
- Tasks: Lead the design and development of cutting-edge AI knowledge graphs.
- Company: Join a pioneering AI-driven tech company with a focus on innovation.
- Benefits: Competitive salary, flexible working, and significant ownership in projects.
- Other info: Fast-paced environment with direct access to leadership and career growth.
- Why this job: Shape the future of intelligent enterprise products and make a real impact.
- Qualifications: Experience in Neo4j, Python, and knowledge graph integration required.
The predicted salary is between 150000 - 150000 £ per year.
We’re partnering with an AI-driven technology company looking to hire an AI Knowledge Graph/ Ontology Lead to build and scale the knowledge graph layer underpinning a new generation of intelligent enterprise products. This is a senior, hands-on leadership role for someone who has real experience designing and shipping production knowledge graphs, not just conceptual ontology work.
You’ll be responsible for shaping a graph and ontology platform that powers:
- AI retrieval and RAG workflows
- Entity linkage and reasoning systems
- Cross-domain and temporal knowledge modeling
- Regulatory and compliance intelligence products
- Agentic AI applications
The role combines architecture, hands-on engineering, and team leadership. You’ll work closely with AI/ML engineers to turn complex, unstructured information into structured, queryable intelligence that directly feeds live AI systems.
Key experience includes:
- Strong Neo4j and Cypher expertise in production environments
- Deep ontology / taxonomy modeling experience
- Python engineering skills
- Knowledge graph integration with LLMs, RAG, or vector search systems
- Experience balancing formal semantics with pragmatic implementation
- Ability to lead technically while remaining hands-on
Additional experience in areas such as RDF/OWL, inference engines, entity resolution, legal/regulatory data, ESG, healthcare, or pharmaceutical domains would be highly valuable.
The company offers:
- A highly technical AI environment
- Significant ownership and architectural influence
- Fast decision-making and direct access to leadership
- Strong adoption of AI-assisted development tooling
- Flexible working arrangements and competitive compensation
Ideal for someone excited by the challenge of building the intelligence layer behind complex AI products at scale. Please apply for more details.
AI Knowledge Graph Lead in Nottingham employer: DeepRec.ai
This AI-driven technology company is an exceptional employer, offering a dynamic and highly technical environment where innovation thrives. With significant ownership opportunities and direct access to leadership, employees are empowered to shape the future of intelligent enterprise products. The flexible working arrangements and competitive compensation further enhance the appeal, making it an ideal place for professionals eager to grow and make a meaningful impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Knowledge Graph Lead in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and knowledge graph space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work with knowledge graphs, especially any hands-on projects. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your Neo4j and Cypher knowledge, and be ready to discuss how you've tackled real-world problems with knowledge graphs. Confidence in your expertise can really set you apart.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Knowledge Graph Lead in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with knowledge graphs and ontology work. We want to see how your skills align with the role, so don’t be shy about showcasing your Neo4j and Cypher expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your hands-on engineering experience can contribute to our AI-driven projects. Let us know what makes you tick!
Showcase Relevant Projects:If you've worked on any projects related to AI retrieval, entity linkage, or knowledge modeling, make sure to mention them. We love seeing real-world applications of your skills, so share those success stories!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at DeepRec.ai
✨Know Your Graphs
Make sure you brush up on your Neo4j and Cypher skills before the interview. Be ready to discuss specific projects where you've designed and implemented knowledge graphs, as this will show your hands-on experience and technical expertise.
✨Showcase Your Leadership
Prepare examples that highlight your leadership style and how you've successfully led teams in previous roles. Discuss how you balance being hands-on with guiding your team, as this role requires both technical prowess and strong leadership.
✨Understand the Business Context
Familiarise yourself with the company's products and how knowledge graphs can enhance their AI capabilities. Being able to articulate how your work can directly impact their business goals will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to dive deep into ontology and taxonomy modelling during the interview. Brush up on relevant concepts and be ready to solve problems on the spot, as this will demonstrate your ability to think critically and apply your knowledge practically.
