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    Our client is a global innovation-led organisation looking for a Senior AI Engineer to join their cutting-edge AI Incubator team on a 12 month contract.

    Skills and Requirements:

    • Degree in Computer Science, Data Science, Machine Learning, or a related field
    • Strong Python engineering experience with a focus on production-grade systems
    • Hands-on experience with LLMs, RAG pipelines, semantic search, and agentic workflows
    • Exposure to graph-based systems (knowledge graphs, graph data science, GNNs such as GCN/GAT)
    • Solid understanding of machine learning, deep learning, and applied data science
    • Experience with vector databases, embeddings, and retrieval strategies (lexical, vector, hybrid)
    • Familiarity with APIs, microservices, and cloud platforms (Azure, AWS, or GCP)
    • Knowledge of software engineering best practices (CI/CD, testing, version control)
    • Strong problem-solving skills and ability to work in fast-paced, ambiguous environments

    Role and Responsibilities:

    • Build end-to-end AI systems, taking ideas from concept to production
    • Design and implement agentic workflows, retrieval pipelines, and reasoning systems
    • Develop graph-enabled AI capabilities, including knowledge graph integration
    • Build and optimise search and retrieval systems using vector and hybrid approaches
    • Integrate LLMs into scalable applications, including fine-tuning and evaluation
    • Develop and maintain APIs and backend services for AI-driven solutions
    • Build and manage ETL/ELT pipelines to support data and model performance
    • Implement observability, logging, and monitoring for reliability and performance
    • Collaborate with cross-functional teams including architects, product, and UX
    • Follow best engineering practices with clean, testable code and agile delivery

    For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.

    Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.

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    Job manager

    Zahn van Zonneveld

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