21 of 21 Natural Language Processing Jobs in Scotland

Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources … are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful … processing - 1+ years experience in building conversational AI and/or natural language processing systems. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.) - Scientific thinking and the ability to invent, a track record of thought leadership More ❯

learning models. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context … Your work will directly impact our customers in the form of products and services that make use of various machine learing, deep learning and language model technologies. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art. BASIC … building machine learning and deep learning models for large scale customer facing product of features - Hands on experience with LLMs - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - Scientific thinking and the ability to invent, a track record of thought leadership and 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). More ❯

experiences that surpass previous machine learning models. We seek a passionate, talented, and resourceful Applied Scientist specializing in Natural Language Processing (NLP), Recommender Systems, and/or Information Retrieval. The role involves inventing and building scalable solutions for a state-of-the-art context-aware speech assistant. … in programming languages such as Java, C++, Python, or related languages PREFERRED QUALIFICATIONS PhD in Electrical Engineering, Computer Science, or Mathematics, with specialties in NLP, recommendation systems, or information retrieval 2+ years of experience building machine learning or deep learning models for large-scale customer-facing products or features Publications … in peer-reviewed NLP/ML conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) Strong software development skills Excellent written and verbal communication abilities Amazon is an equal opportunity employer and values diversity. We provide accommodations for applicants with disabilities during the hiring process. For more information, visit this More ❯

Analytics Platforms: Azure Data Fabric, Data Marketplace AI Technologies: AI conversational chat for reporting, AI-enabled shareholder analytics, Natural Language Processing (NLP), Deep Learning. More ❯

Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯

Opportunity To meet these challenges, the CMT team is looking for passionate, talented and innovative scientists looking to work on cutting edge technology, from Natural Language processing to optimization to image processing and LLMs. In addition to getting the opportunity to participate in research in several … business problems. Ideate on future roadmap for science in CMT, and CMT in general. BASIC QUALIFICATIONS Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS Experience implementing algorithms using both toolkits and self-developed code Have More ❯

Conversational Modelling Intelligence Job ID: 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 ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and 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 … quality patterns and practices for maintaining model pipelines. Requirements 7+ years in software engineering, with 3+ years in API-backed ML deployment. Strong programming language skills in Python. Significant experience with SQL (e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization, and data manipulation tools (e.g. … scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch). Experience with at least one low-level or scientific language (e.g., C, Rust, Go, Julia, or R). Experience with accelerated compute (GPU, TPU, Inferencia) for research and deployment. Experience efficiently training and fine-tuning of deep learning models. Bonus More ❯

use of associated tools and applications to complete these tasks. Ability to travel to client site, where required, will be a consideration. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native … or custom programming. Knowledge of data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies. Youll be comfortable designing and building for the AWS cloud and will have designed and worked on More ❯

use of associated tools and applications to complete these tasks. Ability to travel to client site, where required, will be a consideration. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native … or custom programming. Knowledge of data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies. Youll be comfortable designing and building for the AWS cloud and will have designed and worked on More ❯

use of associated tools and applications to complete these tasks. Ability to travel to client site, where required, will be a consideration. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native … or custom programming. Knowledge of data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies. Youll be comfortable designing and building for the AWS cloud and will have designed and worked on More ❯

ll be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: Background in foundational NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Effective communication skills Uptodate with current trends in AI Some experience with More ❯

and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++ … Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms More ❯

role requires a deep understanding of AI regulations, compliance standards, and security best practices, with a strong focus on Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and secure AI architectures. The ideal candidate will have hands-on experience with LLM security, AI governance frameworks, and regulatory compliance, along … adherence to AI governance and compliance frameworks. Design and implement Retrieval-Augmented Generation (RAG) architectures to optimize information retrieval for LLMs. Work with Large Language Models (LLMs), fine-tuning, deploying, and integrating them into enterprise systems. Ensure LLM security by implementing safeguards against prompt injections, data leaks, and adversarial … developing and deploying AI/ML models. RAG Expertise: Experience in Retrieval-Augmented Generation and related vector databases (e.g., Pinecone, FAISS, Weaviate). LLMs & NLP: Experience working with LLMs (OpenAI, Anthropic, Hugging Face, etc.), including model tuning, security, and optimization. Regulatory Knowledge: Understanding of AI governance, compliance frameworks, and security More ❯

role requires a deep understanding of AI regulations, compliance standards, and security best practices, with a strong focus on Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and secure AI architectures. The ideal candidate will have hands-on experience with LLM security, AI governance frameworks, and regulatory compliance, along … adherence to AI governance and compliance frameworks. Design and implement Retrieval-Augmented Generation (RAG) architectures to optimize information retrieval for LLMs. Work with Large Language Models (LLMs), fine-tuning, deploying, and integrating them into enterprise systems. Ensure LLM security by implementing safeguards against prompt injections, data leaks, and adversarial … developing and deploying AI/ML models. RAG Expertise: Experience in Retrieval-Augmented Generation and related vector databases (e.g., Pinecone, FAISS, Weaviate). LLMs & NLP: Experience working with LLMs (OpenAI, Anthropic, Hugging Face, etc.), including model tuning, security, and optimization. Regulatory Knowledge: Understanding of AI governance, compliance frameworks, and security More ❯

role requires a deep understanding of AI regulations, compliance standards, and security best practices, with a strong focus on Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and secure AI architectures. The ideal candidate will have hands-on experience with LLM security, AI governance frameworks, and regulatory compliance, along … adherence to AI governance and compliance frameworks. Design and implement Retrieval-Augmented Generation (RAG) architectures to optimize information retrieval for LLMs. Work with Large Language Models (LLMs), fine-tuning, deploying, and integrating them into enterprise systems. Ensure LLM security by implementing safeguards against prompt injections, data leaks, and adversarial … developing and deploying AI/ML models. RAG Expertise: Experience in Retrieval-Augmented Generation and related vector databases (e.g., Pinecone, FAISS, Weaviate). LLMs & NLP: Experience working with LLMs (OpenAI, Anthropic, Hugging Face, etc.), including model tuning, security, and optimization. Regulatory Knowledge: Understanding of AI governance, compliance frameworks, and security More ❯

a skilled AI Engineer to take the lead in building secure, compliant, and high-performing AI solutions-particularly around Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and responsible AI deployment. This is an excellent opportunity to work in a modern, Microsoft-based tech stack, tackling greenfield projects that … solutions that adhere to strict compliance and governance frameworks. * Develop Retrieval-Augmented Generation (RAG) architectures for enterprise-scale use. * Integrate and fine-tune Large Language Models (LLMs) into Microsoft-based systems. * Implement LLM security measures (e.g. prompt injection prevention, data protection). * Collaborate with security and compliance teams to … working on greenfield projects that blend cutting-edge technology with regulatory rigour. Interested? Apply now to find out more! ?? Skills: AI Engineer ML LLM NLP More ❯

a skilled AI Engineer to take the lead in building secure, compliant, and high-performing AI solutions-particularly around Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and responsible AI deployment. This is an excellent opportunity to work in a modern, Microsoft-based tech stack, tackling greenfield projects that … solutions that adhere to strict compliance and governance frameworks. * Develop Retrieval-Augmented Generation (RAG) architectures for enterprise-scale use. * Integrate and fine-tune Large Language Models (LLMs) into Microsoft-based systems. * Implement LLM security measures (e.g. prompt injection prevention, data protection). * Collaborate with security and compliance teams to … working on greenfield projects that blend cutting-edge technology with regulatory rigour. Interested? Apply now to find out more! ?? Skills: AI Engineer ML LLM NLP More ❯

a skilled AI Engineer to take the lead in building secure, compliant, and high-performing AI solutions-particularly around Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and responsible AI deployment. This is an excellent opportunity to work in a modern, Microsoft-based tech stack, tackling greenfield projects that … solutions that adhere to strict compliance and governance frameworks. * Develop Retrieval-Augmented Generation (RAG) architectures for enterprise-scale use. * Integrate and fine-tune Large Language Models (LLMs) into Microsoft-based systems. * Implement LLM security measures (e.g. prompt injection prevention, data protection). * Collaborate with security and compliance teams to … working on greenfield projects that blend cutting-edge technology with regulatory rigour. Interested? Apply now to find out more! ?? Skills: AI Engineer ML LLM NLP More ❯