11 of 11 Natural Language Processing Jobs in Scotland

completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/… feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g., large language models, diffusion models, or generative adversarial networks).Experience building and deploying Generative AI solutions ...

completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/… feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g., large language models, diffusion models, or generative adversarial networks).Experience building and deploying Generative AI solutions ...

processing pipelines, including document routing, exception handling, and integration with downstream systems.Understanding of optical character recognition (OCR), natural language processing (NLP) techniques, and entity linking for extracting actionable insights from diverse data types.Awareness of data validation, quality checks, and document lifecycle management best practices to ensure … years of experience building and architecting large-scale software or AI systems in medium-to-large enterprises.5+ years of experience with AI/ML, NLP, or Generative AIExperience working in regulated or compliance-sensitive environments (e.g., healthcare, finance, insurance, global enterprises).Strong communication skills with the ability to influence technical ...

pipelines, including document routing, exception handling, and integration with downstream systems. Understanding of optical character recognition (OCR), natural language processing (NLP) techniques, and entity linking for extracting actionable insights from diverse data types. Awareness of data validation, quality checks, and document lifecycle management best practices … years of experience building and architecting large-scale software or AI systems in medium-to-large enterprises.5+ years of experience with AI/ML, NLP, or Generative AIExperience working in regulated or compliance-sensitive environments (e.g., healthcare, finance, insurance, global enterprises).Strong communication skills with the ability to influence technical ...

care about producing high-quality, maintainable AI solutions and be keen to develop skills across a broad and evolving technology stack centred on Large Language Models (LLMs), Generative AI, Agentic systems, Python and AWS cloud infrastructure.Job responsibilities:Lead the design, build and deployment of impactful … models in agentic systems in industryPractical experience with graph technologies including databases and graph analytics frameworksExperience in natural language processing (NLP) and its applicationsUser interface design and development experience using ReactExposure to public cloud technologies and microservice deploymentExperience in the financial services industryJ.P. Morgan ...

engineering concepts, plus 5+ years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow).Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining … grounding in data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems.Applied NLP experience - text-to-SQL/natural-language query, entity extraction and linking, relevancy ranking, summarization, and news or research feed analytics; exposure ...

engineering concepts, plus 5+ years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining … data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems. Applied NLP experience - text-to-SQL/natural-language query, entity extraction and linking, relevancy ranking, summarization, and news or research feed analytics; exposure to computer ...

with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose … requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Computational Linguistics, Data Mining, Industry, Language Modeling, NLP, United Kingdom #J-18808-Ljbffr ...

along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands‐on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems … search, retrieval‐augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management ...

team delivering secure, scalable software solutions across multiple domains and leveraging AI-assisted development tools. The role emphasizes production-grade Python systems, ML/NLP workflows, large datasets, and collaboration with CI/CD, data engineering, and security practices. Hybrid or on-site arrangements may apply. #J-18808-Ljbffr ...

J.P. MORGAN in the United Kingdom is seeking a Senior AI/NLP Engineer to join a highly collaborative team of business stakeholders, technologists, and control partners to deploy ML solutions into production. A strong passion for machine learning and continuous learning is essential, with solid NLP and financial knowledge ...