9 of 9 Natural Language Processing Jobs in the North of England

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

They are looking for someone who can collaborate closely with a multi-disciplined and distributed work function, utilise machine/deep learning and Natural Language Processing (NLP) to integrate AI solutions into products and services. Key skills and experience required: Hands-on AI and ML Engineering experience Experience developing in Python and it’s relevant ML frameworks More ❯

Pinecone, Weaviate, Qdrant, or Chroma). Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines. Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interaction (LiteLLM, LangFuse, LangChain, LlamaIndex). Strong problem-solving, analytical, and communication skills, with the … a technical leadership or mentorship role. Experience in education, EdTech, or academic integrity sectors. Experience using AI coding tools (Cursor, Claude Code, GitHub Copilot) for accelerated development. Familiarity with natural language processing, computer vision, or multimodal AI applications. Experience with data visualization (Streamlit) and data reporting. Characteristics for Success: As a Senior AI Data Engineer, you should More ❯

influence senior stakeholders Empower teams to scale AI across the organisation Maintain technology RADAR and manage AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven More ❯

influence senior stakeholders Empower teams to scale AI across the organisation Maintain technology RADAR and manage AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven More ❯

taught AI/ML practitioner with relevant projects An early-career technologist seeking formal qualifications and impactful work Essential skills: Strong foundation in AI/ML (e.g. neural networks, NLP, transformers) Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic AI frameworks (e.g. LangChain, AutoGen More ❯

including: Building models and analytics to support commercial teams Developing Q&A-style LLM tools inside Databricks Exploring customer satisfaction and review data (e.g., identifying drivers behind quality scores) NLP on large volumes of free-text data Regression and hypothesis testing across product and operational data Theme extraction from defect reports and customer feedback Helping challenge assumptions with data-driven More ❯

modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling More ❯

concepts clearly. A proactive, solution-oriented mindset with a passion for delivering customer value. Ability to manage multiple projects and work independently. Bonus Points For: Experience with Conversational AI, NLP, or chatbots. SaaS or CX platform knowledge. Front-end skills (HTML, CSS, JavaScript). Why Join Us? Work with the latest AI-powered CX technologies. Enjoy flexibility and autonomy in More ❯