4 of 4 Machine Learning Scientist Jobs in the UK

Senior Machine Learning Scientist (London) London, England Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can … customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product … s dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the More ❯

the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more We are looking for a ML Scientist II to join the Private Label Solutions (PLS) Machine Learning Science. You will join a team that builds end-to-end ML solutions for various business problems … embrace test and learn by continuously experimenting, analyzing and improving our algorithms which has helped the B2B business become one of the fastest growing at Expedia Group. This applied scientist role will join our ML team at Expedia Group. This role offers a unique opportunity to work on diverse challenges and contribute to cutting-edge solutions that drive significant … impact for the business. You will gain expertise in commercial acumen, engineering, analysis, and applied machine learning at scale. This role requires an individual that has a solid foundation in machine learning and engineering, is passionate about driving meaningful impact whilst being mindful of the broader context in which their work sits, is comfortable with ambiguity More ❯

analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world problems and explain the results to non-technical clients and colleagues. Heavy use of … abilities but also have what it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining More ❯

Role Description We are looking for a machine learning engineer with strong data science expertise to join the team working on large language models for life and natural science problems. Work involves building agentic workflows where LLMs reason, plan and act, as well as developing pipelines to train and fine-tune models. LangGraph is our main framework for … Python skills with PyTorch, HuggingFace Transformers and Datasets Proven track record fine-tuning and serving large language models in real-world settings Hands-on experience building pipelines with reinforcement-learning algorithms such as PPO and GRPO Competence with containers, automated testing and software-engineering best practice Useful Skills Basic experience with GCP and infrastructure-as-code workflows Hands-on … in 1843 and Nature, first published in 1869. Nearly two centuries of progress and advancement in science and education have helped shape the business we are today. Research and learning continues to be the cornerstone of progress, and we will continue to open doors to discovery through trusted brands and innovative products and services. Springer Nature Group was created More ❯