1 to 25 of 42 Natural Language Processing Jobs in Scotland

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to More ❯

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to More ❯

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to More ❯

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to More ❯

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to More ❯

and attention to detail. Ability to work independently and as part of a team. Preferred Qualifications: Experience with natural language processing (NLP) techniques. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud). Experience with version control systems (e.g., Git). #J-18808-Ljbffr More ❯

tools, such as Blue Prism, Automation Anywhere, UiPath, Powerautomate, IBM RPA etc. This expertise includes native chatbot support, natural language processing (NLP), optical character recognition (OCR), native Citrix automation, document processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features More ❯

tools, such as Blue Prism, Automation Anywhere, UiPath, Powerautomate, IBM RPA etc. This expertise includes native chatbot support, natural language processing (NLP), optical character recognition (OCR), native Citrix automation, document processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features More ❯

Modelling Intelligence Job ID: 2825319 | Evi Technologies Limited You will be responsible for defining key research directions focusing on LLMs, adopting or inventing new NLP techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those … in traditional programming languages (Python, Java, etc.). Excellent written and spoken communication skills. PREFERRED QUALIFICATIONS 10+ years of experience building and deploying innovative NLP solutions at scale. Expert level skills focusing on Large-language-Models. Demonstrated experience in training LLMs through PT, SFT, and LHF backed by top … tier publications. Published research work in academic conferences or industry circles in NLP top tier conferences. Experience delivering complex end-to-end global NLP solutions that run at very large scale. Experience working with real-world data sets and building scalable models from big data. Thinks strategically, but stays on More ❯

boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models … and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based … product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and More ❯

boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models … and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based … product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and More ❯

boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models … and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based … product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and More ❯

data scientists and engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, optimization, statistical modeling, signal detection, natural language processing, data visualization, generative AI, network/graph modeling, ETL, data pipelines, data architecture, ML engineering, communication, product management and strategy. … processes, and proactively contribute to team culture The minimum requirements for this position are: 4+ year experience shipping code to production environments Strong programming language skills in Python and SQL Experience building cloud native applications Great problem-solving and communication skills Knowledge and experience we are looking for includes More ❯

data scientists and data engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, product management and strategy. We work with data More ❯

infrastructure for AI/ML projects. Demonstrable strong experience with data engineering concepts and tools for AI, including data preparation for techniques like LLMs, natural language processing, and deep learning. Expert proficiency in at least one programming language commonly used in data engineering (e.g., Python, Scala … Java). Strong experience with big data technologies (e.g., Spark, Hadoop, Flink) and distributed data processing frameworks. Proven experience with cloud data platforms and services (e.g., Azure Data Factory, Azure Databricks, AWS Glue, Google Cloud Dataflow, BigQuery). What's On Offer An exceptional opportunity to contribute to high More ❯

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 … 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 More ❯

to integrate AI-driven products into Amazon's hiring process. - Stay at the advance of AI research, continuously exploring and implementing new techniques in NLP, LLMs, and GenAI to drive innovation in hiring. - Implement advanced natural language processing models to extract insights from diverse data sources. - Ensure … related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED More ❯

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 More ❯

AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of More ❯

AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of More ❯

successful in this role, you will be able to demonstrate: Practical and theoretical expertise in one or more AI/ML areas such as Natural Language Processing, Computer Vision, Reinforcement Learning, Agentic AI, Multimodal Models, Generative AI, Responsible AI, and Algorithmic Auditing. Knowledge of assessment techniques to More ❯

and AI developer tools. Be part of internal engineering efforts, with responsibility of algorithms, modelling, engineering and product scaling and support. Requirements: PhD in NLP, deep learning, knowledge engineering, information retrieval, or related fields. At least 3 years of work experience in at least one of the following fields is … REQUIRED: Knowledge engineering technologies (RDF, SPARQL, OWL, SKOS)/Natural Language Processing (LLM, agent, entity detection, question answering, etc.)/Machine Learning & Deep Learning (LSTM, transformer, etc.) . At least 2 (3-5 would be desirable) papers published on top conference/journal in the related fields More ❯

Detail oriented with excellent prioritisation, and multitasking abilities. Ability to work collaboratively with minimal supervision. Familiarity with AI technologies, such as ChatGPT or similar natural language processing model Experience in the insurance and/or consulting or wider financial services sector. Why join our team: We help More ❯

Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms. Strong analytical, mathematical, and coding skills (e.g. More ❯

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 More ❯