5 of 5 Knowledge Discovery Jobs in London

of banking and society. THE ROLE We are seeking a visionary and strategic Senior Director to lead Enterprise Temenos Learning Community (TLC) and Knowledge Management at Temenos. This senior role reports directly to the Chief Delivery Officer, as part of the One Customer Experience Senior Leadership team and … is responsible for the development, execution, and continuous enhancement of Learning Management (LM) and Knowledge Management (KM) strategies globally. As the leader of the Temenos Learning Community (TLC), you will optimize the use of intellectual capital, foster collaboration across global teams, and drive product innovation in the rapidly … Lead the adoption of cutting-edge technologies like AI, machine learning, and tools like MS Co-Pilot Gen AI to enhance knowledge discovery, content retrieval, and decision-making. Create Knowledge Ecosystems: Facilitate transparent, accessible knowledge sharing between product engineering, support, and client-facing More ❯

career development, and pay reviews. They participate in the budget process, as well as forecasts for their department. Machine Learning Managers have extensive knowledge of the field and possess a combination of machine learning, computer science, data mining, and statistical experience. They demonstrate strong leadership skills and create … experience working with very large datasets; familiarity with parallel programming or parallel algorithms development; familiarity with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; demonstrated leadership attributes. Optimal Qualifications: Masters or PhD in Computer … experience working with very large datasets; experience with parallel programming or parallel algorithms development; experience with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; experience with Graph Analysis, Recommender Systems (Collaborative Filtering), and probabilistic More ❯

As AI agents become the norm in this industry, so does the need for efficient legal information retrieval, semantic search capabilities, and structured knowledge representation. Your work will bridge the gap between advanced search technologies and the complex information needs of the legal domain, making legal knowledge more accessible, navigable, and actionable. Responsibilities: Develop and advance knowledge extraction and representation methods, particularly in: Structured knowledge extraction from legal texts and images Knowledge graphs/ontology engineering Legal knowledge base construction Specialised embedding methods for multimodal content in … the legal domain Develop methods for retrieval and reasoning over legal knowledge bases and systems (e.g., hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search) Perform fine-tuning and reinforcement learning to teach language models how to interact with new information architectures. More ❯

WILL DO Technological Leadership: Define architectural patterns for scalable LLM pipelines, ensuring versioning, monitoring, and adherence to best practices. Drive integration of external knowledge bases and retrieval systems to augment LLM capabilities. Research and Development: Develop RAG architectures, organize complex domain-specific data (e.g., vector databases, knowledge graphs), and implement knowledge extraction. Benchmark and tune state-of-the-art LLMs for performance and cost efficiency. Incorporate trends like instruction tuning, RLHF, or LoRA fine-tuning. Embed domain-specific ontologies into NLP workflows. Evaluation and Optimization: Analyze models for quality, latency, sustainability, and cost More ❯

of your work Working closely within a multidisciplinary team of engineers, product managers and analysts, whilst enabling and empowering the wider team through knowledge sharing and strong documentation Partnering with the product manager to create our product strategy for a particular product Applying best practices to our style … of considerations behind your work and knowing how to engage stakeholders at all levels, in particular by designing and running workshops to facilitate knowledge extraction and collaborative ideation A collaborative working style, strong interpersonal skills, and the ability to work closely with engineers, analysts, and senior stakeholders - both More ❯