5 of 5 Natural Language Understanding Jobs in England

background to help build industry-leading speech and language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers. As a Speech and Language Scientist, you will work with talented peers to develop … novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language … understanding. We are hiring in the area of speech recognition (ASR). BASIC QUALIFICATIONS MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning Familiar with programming languages such as C/C++, Java, Perl or Python. PREFERRED QUALIFICATIONS Experience in building speech recognition and natural More ❯

business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. … centers and infrastructure. Experience implementing and optimizing AI-powered customer service solutions Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning Serverless development experience including More ❯

millions of Roku users. The Roku Voice team is looking for ambitious experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems and building large scale production systems. You have a once in a lifetime opportunity to contribute to building … initiatives, and make pragmatic technical decisions Qualifications 5+ years hands on experience in building challenging production systems Strong CS fundamentals, with the ability to write algorithms with ease Good understanding of machine learning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech Experience with advanced machine learning techniques, including LLM and generative AI Proven … plus), including identifying the right KPIs and objective functions Experience working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java, Python, C++) Experience building in-production NLU and/or ASR systems Bachelor Degree required. MS in Computer Science or a Ph.D. in CS or related fields is preferred Benefits Roku is committed to offering a diverse More ❯

At Sense Street, we are developing natural language understanding systems for capital markets. Our premise is simple: markets are conversations, and we aim to help investment banks and asset managers have better, more efficient conversations. Through our partnerships with global banks, we have access to datasets that have not been made available in the past.This allows us … to create language models uniquely suited to capital markets while advancing the state-of-the-art.We are a venture backed company founded by professionals with experience spanning machine learning, trading, and quantitative research. As an experienced ML expert in the Data Science team, you will part of an innovative team of machine learning researchers, engineers, and domain experts. Here … fine-tune an LLM. Requirements: MSc with enough research experience (industry or academia) or PhD in a relevant subject. Extensive background in using and developing deep learning methods. Substantial understanding of deep learning methods and breadth of knowledge of different models and their potential applications. Knowledge of LLMs is a must have. Interest for text and language tasks. More ❯

pipelines Test and Validate services. Deploy and monitor solutions for impact Work within a cross-functional application team to build scalable language services in the range of NLP, NLU, and NLG for live SaaS products Help develop and groom an experiment backlog Build models that solve real-world problems Optimize models for production throughput and uptime requirements Automate deployments … testing, and monitoring (MLOps) Requirements 5+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services Expert in Machine Learning, Modeling, and development with Python Expert in MLOps with at least one platform, e.g.: MLflow, Kubeflow, or end-to-end automation with SageMaker services Ability to mentor others and work independently Nice to More ❯