7 of 7 Natural Language Processing Jobs in Cambridge

invite applications for a Research Engineer to join the project Conversational AI for Language Learning. This interdisciplinary project explores how cutting-edge Natural Language Processing (NLP) can be harnessed to develop applications that support language learning, particularly in communities and regions where such technologies are scarce or unavailable. The ultimate goal is to lay the … communities in Peru and/or Nepal. Responsibilities include: Collaborating with local partners to co-design and evaluate the application; Gathering and curating multilingual data and resources for conversational NLP; Developing and adapting language technologies for under-resourced languages; Contributing to publications and dissemination of research findings. The Research Engineer will work within an interdisciplinary project team and in … They will be based at the Centre for Human-Inspired AI (CHIA) and the Language Technology Lab (LTL), part of a vibrant and highly research-active environment in NLP and AI at the University of Cambridge. The funds for this post are available for 12 months in the first instance. In Order For Your Application To Be Considered, Please More ❯

for innovative processor development. Mastery in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like Natural Language Processing (NLP) and large-scale AI models. Your ability to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new heights of efficiency and effectiveness. More ❯

for innovative processor development. Mastery in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like Natural Language Processing (NLP) and large-scale AI models. Your ability to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new heights of efficiency and effectiveness. More ❯

Experience with Azure based AI technologies such as Azure AI Foundry Experience working with LLMs and Agentic AI on real-world problems. Strong understanding of machine learning algorithms and natural language processing techniques. Strong inter-personal skills and ability to collaborate with cross-functional teams and translate business problems into technical solutions. Experience with deploying AI models More ❯

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯

structures for describing regulation to create a regulatory commons. Our team benefits from a strong connection to the University, bringing together deep expertise in scaling tech start-ups, developing NLP/ML models, and collaborating with regulatory communities. Backed by £15 million in funding, we have established a solid product-market fit and are experiencing significant commercial traction with global More ❯

and regulatory constraints. Company: ARM Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , Neural Networks , NLP , United Kingdom More ❯