7 of 7 Natural Language Processing Jobs in Lancashire

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 ❯

Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has to offer More ❯

a hands-on role in optimising and evolving the AI systems that power the Data Productivity Cloud . From boosting the accuracy of our natural language interface to enabling AI-driven pipeline creation, your work will directly empower data engineers to process the most complex and unstructured data … week in the Manchester office. What you will be doing Experiment & Optimise : Run structured evaluations to improve performance, speed, and cost-efficiency of large language models (LLMs). Empower Through AI : Enhance our agentic copilot system to more accurately generate data pipelines from natural language inputs. Advance … and build a world-class AI capability at Matillion. What we are looking for Deep AI Knowledge : MSc, PhD, or equivalent experience in ML, NLP, or a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI API. 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 ❯

looking for people to contribute to the development of AI tools and solutions, and help the business build capabilities on cutting-edge AI and NLP techniques. We're currently looking for a motivated, self-starter individual, comfortable with ambiguity, and willing to work in a cross-functional environment, with 2+ … across our Manchester, Leeds, Birmingham, and London offices. What your days will look like: Solution Development: Contribute to designing, developing and scaling AI and NLP solutions addressing specific business problems or opportunities. AI Strategy: Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive 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 ❯