51 to 60 of 60 Natural Language Processing Jobs in England

Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building and deploying ML solutions at scaleparticularly in NLP and GenAI. You will: Design, develop and scale NLP and GenAI capabilities to optimise business processes. Build out a robust GenAI application technology stack, from ...

with wider business strategy Engage with senior business leaders and technology management to design a Target Data Operating Model Develop the firms AI/NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimise existing technology to support/develop the ongoing data architecture roadmap in relation … leadership of multi-disciplinary teams within data Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI/NLP/ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability ...

Engineer Python, Machine Learning, NLP, Azure An AI Engineer is required by Whitehall Resources for a permanent position with our UK-based client. This role offers hybrid working, with the flexibility to be based from offices in either Birmingham or Manchester three days a week. As an AI Engineer, youll … have? Experience developing AI/ML solutions using Python? Knowledge of frameworks such as PyTorch (preferred), TensorFlow, or Scikit-learn? Experience with NLP, deep learning, or computer vision? Familiarity with MLOps tools (Azure ML Pipelines, MLflow, Docker, Kubernetes)? Experience working with cloud platforms such as Azure ...

this to be possible. Interviews next week apply asap/Today Key Responsibilities: Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications. Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. Design and implement Big Data solutions using Hadoop, Spark, PySpark … deploy ML models (supervised, unsupervised, tree-based, ensemble methods). Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs. Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock Agents) for autonomous workflows. Collaborate ...

working with current AWS tooling. What you'll be doing: Building and deploying ML models and LLM applications Fine-tuning large language models for specific use cases Working with prompt engineering and RAG systems Creating end-to-end ML pipelines—ingestion, feature engineering, deployment Developing LLM-powered tools: chatbots … product teams What you'll need: Strong Python and experience with TensorFlow, PyTorch or scikit-learn Hands-on LLM work—prompt engineering, modern NLP techniques AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch Understanding of deep learning, transformers and attention mechanisms Knowledge of RAG systems, vector databases and embeddings Experience deploying ...

relevant experience ? Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering ? Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus ? Capacity to multi-task in a fast paced environment while keeping strong attention to detail ? Coding skills required … least one leading programing language (Python, R, Matlab and/or C++, C#) ? Experience in exploring large datasets across multiple time frames is a plus ? Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields ? Capacity to work with ...

exchange solutions to support engineering and business workflows Contribute to the technology roadmap by researching and recommending new tools and approaches Support generative AI, NLP and OCR initiatives through high quality data preparation and engineering Work closely with cross functional teams to ensure datasets are structured, accessible and future proof … similar data integration experience Development experience such as Python Exposure to big data tools or architectures such as the Hadoop ecosystem Experience with NLP or OCR technologies Desirable: Knowledge of generative AI concepts or frameworks Experience with containerisation such as Docker Experience in industrial, engineering or defence environments What ...

Python Engineer (OCR & NLP Specialist) Typical UK Salary: £60,000 – £90,000 per year Key Responsibilities: • Build the OCR engine for contract uploads. • Implement NLP models to detect renewal dates, suppliers, notice periods, and contract terms. • Design data-cleaning pipelines for scanned PDFs and images. • Develop and maintain the extraction … optimise ML models for accuracy. Required Skills: • Strong Python (FastAPI, Flask or Django). • Hands-on experience with OCR tools (Tesseract, AWS Textract). • NLP libraries such as spaCy, NLTK, HuggingFace Transformers. • Experience with PDF parsing and text extraction. • Model optimisation and evaluation. • Familiarity with AWS or Azure ML services. ...

Specialist/Process Analyst/Documentation Specialist/Prompt Engineer/AI Prompting/AI Workflows/Software Engineering/SaaS/Automation/NLP/Data Analysis/Computer Science/Business Management/Information Systems/LegalTech/Operations Management/Graduate/Junior/Trainee A fantastic … Specialist/Process Analyst/Documentation Specialist/Prompt Engineer/AI Prompting/AI Workflows/Software Engineering/SaaS/Automation/NLP/Data Analysis/Computer Science/Business Management/Information Systems/LegalTech/Operations Management/Graduate/Junior/Trainee ...

Engineer to join our team. The ideal candidate will bring deep expertise in building and deploying AI/ML solutions, particularly in areas like NLP, document understanding, and search/retrieval systems. You will work in a dynamic environment, collaborating across teams to design scalable AI-driven solutions and bring … them into production. Key Responsibilities: Design, develop, and deploy AI/ML solutions with a focus on NLP, document understanding, and information retrieval. Integrate AI models into systems using APIs and message brokers such as REST and Kafka. Implement secure systems using modern authentication and authorization standards like OAuth2 ...