Craxel

About the Company

Craxel is redefining what’s possible in data analytics and artificial intelligence. Our breakthrough Black Forest™ technology provides the knowledge infrastructure for AI-powered decision making—at any scale and with unprecedented speed.

Built on groundbreaking algorithmic innovation, Black Forest provides instant access to fully connected data by humans or machines, enabling contextualization of the world’s most complex data—spanning trillions of records, relationships, and vectors. Unlike legacy approaches that rely on brute force compute, our O(1) indexing engine delivers unmatched performance, price efficiency, and low-latency results—no matter the data size.

Black Forest consolidates fragmented data into multidimensional, AI-ready knowledge graphs, instantly accessible by both human and machine intelligence. From national security to financial intelligence, Craxel empowers organizations to make better decisions, faster, at any scale.

Listed Jobs

Company Name

Craxel

Job Title

Graduate Knowledge Engineer

Job Description

Job title: Graduate Knowledge Engineer Role Summary: Graduate Knowledge Engineer develops and maintains knowledge systems for AI and data analytics. Works with cross‑functional teams (UK & US) to model, contextualise, and optimise complex data sets into AI‑ready knowledge graphs delivered via Black Forest™ technology. Expectations: - Deliver high‑quality knowledge representations that enable AI/ML pipelines. - Collaborate with clients and internal stakeholders to translate business requirements into data models. - Maintain updated documentation and best‑practice guidelines for knowledge engineering. - Achieve and sustain Security Clearance (SC) without caveats. Key Responsibilities: - Design and implement ontologies, graph models, and knowledge representation frameworks (e.g., RDF, OWL, property graphs). - Transform structured, unstructured, geospatial, and temporal data into interconnected knowledge graphs. - Support AI readiness by ensuring data is properly contextualised for RAG, generative AI, and LLM use cases. - Work with Python, SQL, JavaScript, and SPARQL scripts to ingest, query, and manipulate graph data. - Collaborate with cloud, container, and infrastructure teams to deploy and host graph services. - Communicate technical insights to non‑technical stakeholders and provide client‑facing support. - Participate in code reviews, documentation, and continuous improvement initiatives. Required Skills: - Foundations in data modelling, ontologies, graph databases, and knowledge representation (RDF/OWL/SPARQL). - Experience with structured, unstructured, geospatial, and temporal data sources. - Understanding of AI/ML, LLM, and RAG concepts in the context of structured data. - Proficiency in Python, SQL; knowledge of JavaScript, SPARQL. - Familiarity with cloud infrastructure and containerisation (desirable). - Strong written and verbal communication; problem‑solving; collaborative teamwork; detail‑oriented. Required Education & Certifications: - 2:1 Bachelor’s degree or Masters in any STEM field. - Eligibility to obtain and maintain SC Security Clearance (UK resident >5 years).

Belfast, United kingdom

On site

Junior

25-02-2026