10 of 10 Natural Language Processing Jobs in Bristol

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 ❯

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 ❯

workplace culture. Responsibilities: Building horizon scanning applications, providing novel data analytics for the whole of science and technology with graph databases, big datasets and natural language processing in AWS. Building novel simulations of distributed autonomous systems architectures using cloud infrastructure and messaging with Python, Kafka and Azure. … Helping an energy customer to maintain critical infrastructure by developing a data processing application, database and API to store 40 years of inspections data and enable data analytics and condition monitoring on this using ASP.NET, Entity Framework, Postgres and C#. Significant experience leading the design and deployment of complex … cloud solutions to AWS. At least 1 Object-Oriented Language (Python or C# ideally). Experience with containerisation of applications. An ability to discuss and present complex topics in an understandable way. Consultancy skills in stakeholder management, business development and requirements elicitation. Excellent interpersonal skills to enable internal and More ❯

Expertise in one or more areas relevant to data science is essential, including but not limited to: data management analytics cloud computing machine learning natural language processing The primary focus of this role will be teaching, and we will expect you to support teaching on our programmes More ❯

in patient identification, recruitment, and the effectiveness of therapeutics. Role Overview: They are seeking a Senior AI/ML Engineer with expertise in Large Language Models (LLMs), inference optimization, and clinical fine-tuning. This full-time hybrid position allows you to develop and deploy advanced AI models for clinical More ❯

Job Specification: Machine Learning Engineer (NLP) (Pytorch) Location: Bristol, UK (Hybrid - 2 days per week in the office) About the Role I'm looking for an NLP Engineer to join a forward-thinking company that specialises in advanced risk analytics and machine learning. This is a great opportunity to work … cutting-edge AI solutions in a rapidly evolving industry, with a focus on real-world applications in cyber reinsurance. Key Responsibilities Develop and optimise NLP models for tasks like information retrieval, summarisation, and other domain-specific applications. Work closely with data scientists, engineers, and domain experts to understand business needs … and deliver AI-driven solutions. Stay up to date with the latest NLP technologies, including semantic search and generative AI, and apply them to improve existing models. Build and maintain scalable data pipelines for processing both structured and unstructured data efficiently. Evaluate and fine-tune machine learning models to More ❯

build a scalable and secure data infrastructure. More excitingly, a lot of your work will involve want to work with the latest GenAI and NLP tools, so you will need experience in these already. You'll also need hosting and deploying experience to be considered. Asides from tech skills, you More ❯

Company: Gendo Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , NLP , United Kingdom 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 ❯