26 to 49 of 49 Information Retrieval Jobs in London

processing. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products handle information at massive scale, extending beyond web search. We seek engineers with fresh ideas across areas like … information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile development. As a software engineer, you will work on specific projects critical to Google's needs, with opportunities to switch teams and projects as our business evolves. … belonging, and providing equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions, criminal histories, or other protected bases. See Google's EEO Policy, Know your rights, Belonging at More ❯

AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings) Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation) LLMs and Natural Language Processing Multi-modal deep learning and/or information retrieval Publication track record More ❯

launching deep learning and machine learning models for business applications - Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.) - Experience with information retrieval, recommender systems, natural language processing, and/or personalization algorithms - Publications at top Web, Machine Learning, Natural Language Processing conferences such as More ❯

that drive decisions. Through your analytical rigor and clear documentation, you'll help ensure millions of customers can easily find and trust the product information they need. This position offers rare opportunity to create lasting impact at scale. You'll work with best-in-class tools to build automation … an equivalent quantitative field. - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience with theory and practice of information retrieval, data science, machine learning and data mining. - Experience with theory and practice of design of experiments and statistical analysis of results. - Experience More ❯

deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in More ❯

innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java More ❯

based on personal preferences. Nice to have skills/experiences: Experience improving LLM performance for custom domains via fine tuning or RLHF. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc. More ❯

experimentation, development, evaluation and deployment of generative AI (GenAI) applications by setting up AI sandboxes for experimentation, deploy advanced prompt engineering techniques (such as retrieval-augmented generation RAG ), fine-tune models, automate complex workflows and monitor production AI applications. This role requires regular attendance at the NAO's office … set, to reach accurate and reliable conclusions. You understand and use different performance and accuracy metrics for model validation in projects, hypothesis testing and information retrieval, comparing selected applicated mathematics and statistical methods and identify their differences. You can access and use the statistical and scientific tools available More ❯

of experiments and statistical analysis of results - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience working directly More ❯

academic projects and/or industry environment Data management in large scale and heterogeneous data spaces Clinical Informatics Biomedical ontologies/Semantic Web technologies Information retrieval, data analytics and/or text mining on Electronic Health Records and biomedical literature Knowledge of machine learning/deep learning with … an interest in the application to electronic patient records Understanding or interest in graph data models/Knowledge graph techniques Some statistical skills Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others More ❯

Engineering Manager, you will optimize code, manage project goals, contribute to product strategy, and develop your team. Teams work across various domains such as information retrieval, AI, NLP, distributed computing, large-scale system design, networking, security, data compression, and UI design. You will guide teams operating at scale … belonging. We provide equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related conditions. See Google's EEO Policy and related resources for more information. English proficiency is required for More ❯

Innovation Are you seeking an environment where you can drive innovation? Do you want to apply state-of-the-art computer science and advance information retrieval techniques to solve real world problems of competitive data analysis? Does the challenge of building real time, highly scalable solutions for the More ❯

the customer experience, design, architecture, and implementation of a product used every day by people you know. BASIC QUALIFICATIONS PhD Knowledge of ML, NLP, Information Retrieval and Analytics Experience directly managing scientists or machine learning engineers Experience programming in Java, C++, Python or related language Experience in building More ❯

analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS - Experience working directly with business stakeholders to translate between data and business needs More ❯

that automate existing inspection mechanisms such as business reviews, annual planning, and forecasting processes. Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking. Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through … ad-hoc data retrieval and analysis from data management systems. Create new mechanisms and business processes that simplify, standardize and enable operational excellence. About the team The Private Pricing team is instrumental in driving deal strategy, structuring, negotiations, and execution of private deals. Private Pricing deals consist of large … advanced SQL skills. Experience with theory and practice of design of experiments and statistical analysis of results. Additional experience with theory and practice of information retrieval, data science, machine learning and data mining. PREFERRED QUALIFICATIONS Experience managing, analyzing and communicating results to senior leadership. Experience integrating multiple loosely More ❯

analysis of results Experience with AWS technologies Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining Experience working directly with business stakeholders to translate between data and business needs Experience with More ❯

analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience with More ❯

think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving More ❯

of experiments and statistical analysis of results Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining Experience working directly with business stakeholders to translate between data and business needs Experience with More ❯

analysis of results. Experience with AWS technologies. Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining. Experience working directly with business stakeholders to translate between data and business needs. Experience with More ❯

and directly impacts multiple organization goals and beyond. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving More ❯

to meet the evolving needs of our customers. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving More ❯

of experiments and statistical analysis of results Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining Knowledge of data warehousing and data modeling PREFERRED QUALIFICATIONS Experience working directly with business stakeholders More ❯

other places. About the team The Core Search NLP Document Enhancement (DocE) mission is to enhance and update the representations of products and related information in the Search index, via the use and understanding of new and existing data sources including third-party sources, to improve search relevance and … science in a consumer product company. - Practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, computer vision, information retrieval. - Publications in top-tiered academic conferences and journals. - Knowledge of AWS products for MLOps. Our inclusive culture empowers Amazonians to deliver the best More ❯