9 of 9 Natural Language Processing Jobs in Glasgow

our cybersecurity capabilities. Key Responsibilities: · Design, develop, and deploy full-stack AI solutions with a focus on cybersecurity threat detection and response. · Apply AI/ML techniques such as NLP, supervised/unsupervised learning, and generative AI to real-world security data. · Integrate AI models into scalable applications using modern full-stack development tools and frameworks. · Collaborate with cybersecurity teams … experience in a cybersecurity operations or similar function. · Strong knowledge of cybersecurity principles, frameworks, and threat intelligence (e.g., MITRE ATT&CK). · Proficient in AI/ML technologies, including Natural Language Processing, Generative AI, and Machine Learning algorithms. · Experienced in full-stack development with proficiency in Python, C C#, or R. · Familiarity with AI libraries and tools More ❯

complex analysis into business-friendly insights. Passion for solving real-world problems using data and a curiosity for legal or regulated sectors. Bonus Skills Familiarity with generative AI or natural language processing tools. Experience working in a service-led or consulting environment. Understanding of data ethics, governance, and responsible AI use. Please Note Right to work in More ❯

both supervised and unsupervised. Proficient programming skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Understanding and usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection More ❯

equivalent including being professionally qualified in relevant discipline, with a broad range of professional experience in management role(s). A2 Strong knowledge of more than one modern programming language used in research (typically Python, R, C++, Java, Julia, C). A3 Excellent understanding of best practice for producing reliable software and reproducible analyses, including version control, issue tracking … and optimising software to take advantage of GPU/HPC infrastructure. B2 Good knowledge and experience of more than one of the followings broad areas: Statistics; Health Data Science; Natural Language Processing; Large Language Models; Environmental Sustainability; Inequality; Trusted Research Environments; Digital Humanities. Skills Essential: C1 Excellent team leadership, planning, organisation, time and workload management skills More ❯

an organisation that encourages continuous personal development, and are keen to talk with good candidates Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing.Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.) Familiarity with Python for AI/ML More ❯

an organisation that encourages continuous personal development, and are keen to talk with good candidate Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing. Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.). Familiarity with Python for AI More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

the transition from existing TRE provider (Robertson Centre for Biostatistics) to long-term operational sustainability. 3. Support the delivery of key demonstrator AI/ML projects (digital pathology, imaging, NLP) that will shape the TRE's foundational workflows for integration into national health research infrastructure. 4. To play a key role to ensure all TRE activities adhere to ISO, NHS More ❯

neural networks, software development, and natural language processing. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Experience in AI algorithm development Strong analytical and problem-solving abilities Bachelor's or Master's degree in Computer Science or related field More ❯