9 of 9 Natural Language Processing Jobs in West London

Parexel, driving AI education and providing expert guidance to other parts of the business. Key Accountabilities: ML and Natural Language Processing (NLP) Technology: • Leverage proprietary technology stack to build custom machine learning models • Design, implement, and document new ML/NLP modeling techniques and strategies • Develop Back … end/server-side software to support AI solution development and serving • Build internal frameworks, libraries, and infrastructure to improve machine learning and NLP capabilities to allow for rapid prototyping and new product delivery • Review and adapt recent research in ML and NLP into prototypes and production solutions • Review and … POCs and Experimentation: • Understand business needs and user workflows and interpret in the context of potential AI solutions • Develop custom models and AI/NLP solutions to address business needs • Lead experiment and evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled More ❯

developing, and delivering client solutions across multiple projects—leveraging expertise in statistical theory, data analysis and interpretation, regression analysis, machine learning, deep learning, and natural language processing techniques. Candidates should have a Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or related … growth, and contribute to the continuous improvement of the business unit. Support innovation in health outcomes analysis, including supervised/unsupervised learning, deep learning, natural language processing, and other advanced techniques. Note that VISA sponsorship is not supported for this role. Seniority Level Director Employment Type Full 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 ❯

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 ❯

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 ❯