26 to 35 of 35 Data Mining Jobs in London

Data Science Manager – Strategic Analytics Location: London Hybrid (2/3 days in the office) Permanent You must have Insurance/London Markets background We’re supporting the search for a Data Science Manager to join a high-performing Strategic Analytics team, helping shape how advanced analytics drives … commercial decision-making across the business. This is an opportunity to take on a visible leadership role where you will combine technical data science expertise, stakeholder engagement, and team leadership to deliver predictive models and analytical insight that create real business impact. Working closely with senior stakeholders, particularly across ...

inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data‐driven insights to continuously improve our systems. Key job responsibilities Develop and maintain LLM agents, including automated evaluation pipelines, LLM‐as‐a‐judge methodologies … single‐agent and multi‐agent systems, memory management strategies, and tool orchestration to optimise for quality, latency, and reliability at scale. Leverage petabytes of data and identify opportunities to leverage machine learning models aimed at making conversational systems more performant. A day in the life Perform hands‐on analysis ...

responsibilities: Create machine learning algorithms to solve large‐scale recommendation challenges. Quickly design, test, and refine multiple hypotheses in an uncertain environment, using data analysis and business insights. Work closely with software engineers to implement successful experiments into the company’s processes. Share findings and insights effectively with both … Master's degree and experience in CS/CE/ML or related field research. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‐performance computing. Experience programming in Java, C++, Python or related language. ...

contribute to future product development. Required Skills and Experience 2+ years of hands-on experience in machine learning, AI, recommendation systems, pattern recognition, data mining, or related areas. Strong Python programming skills. Hands-on experience with PyTorch or similar machine learning frameworks. Experience developing machine learning models ...

impacts product development. Minimum Qualifications 2+ years of hands-on experience in one or more of the following: Machine Learning Recommendation Systems Pattern Recognition Data Mining Artificial Intelligence Experience developing machine learning models at scale, including programmatically querying LLMs and LLM post-training. Strong programming experience in Python ...

findings and contribute to the development of impactful products for our client. Minimum Qualifications: Hands-on experience in machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence. Proven experience in developing machine learning models at scale, including querying and post-training of large language models. Proficiency ...

enhance shopping experiences. Candidates should hold a PhD or Master's in a related field and have experience in deep learning, programming, and data mining. The team emphasizes scientific rigor and innovation to improve AI capabilities at scale. #J-18808-Ljbffr ...

achieved within 12 months of appointment. Experience teaching undergraduate modules in at least one of the following (Network Fundamentals, Organisation & Architecture, Mathematics, Programming, Data Structures, AI, Operating Systems, Databases & Web Integration) Experience teaching postgraduate modules in at least one of the following (Autonomic Intelligent Systems, Data Mining ...

driven pipelines to transform workflows across S&P Global. This role requires a strategic leader who can architect end‐to‐end AI data collection and mining solutions using cutting‐edge models, cloud infrastructure, and orchestration tools while managing senior stakeholders and driving adoption at scale. You will … addition, cloud infrastructure (AWS/Azure/GCP), orchestration tools (e.g. Kubeflow), and agentic frameworks (e.g. LangChain, AutoGen). Responsibilities Partner with product, engineering, data science, and business teams to integrate AI into core offerings across SPGI Work with executive leadership to prioritize AI investments and resource allocation. Engage ...

employee experiences. What will you do for Talent/HR Service Delivery Lead the design and deployment of Talent solutions across process, technology, and data Drive innovation through AI and automation totransformservice delivery and user experience Contribute to development of the Talent Service Delivery roadmap Manage … delivery across global teams, includingbothinternal and externaldeliverypartners Influence senior stakeholders and ensure successful adoption acrossRegions andServiceLines(business) Use insights (data, process mining, employee feedback) to identify opportunities for optimisation and/or enhancements Contribute to business cases andprioritisationof strategic initiatives Drive simplification and reduce duplication across the Talent ...