4 of 4 Permanent Natural Language Processing Jobs in Lanarkshire

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 ...

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 ...

initiatives.Your responsibilities will include leading solution design, defining technical approaches and influencing architecture decisions across a range of AI technologies, including Generative AI, Large Language Models (LLMs), Natural Language Processing, Computer Vision and Machine Learning. You will oversee the development of scalable AI applications, APIs ...

automation, or AI-enabled transformation programmes.Understanding of AI technologies and the broader AI ecosystem, including Generative AI, GPT, Microsoft Copilot, agentic workflows, machine learning, NLP, and intelligent automation.Strong analytical and problem-solving skills, with experience interpreting data, identifying insights, and building recommendations.Familiarity with Agile delivery methodologies, product operating models ...