15 of 15 Natural Language Processing Jobs in the North of England

deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data pipelines and model … NumPy, Pandas, Scikit-learn). Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop ...

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 ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression … break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression … break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression … break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers ...

court pack analysis processes Lead the requirements gathering and specification for an AI-driven claims analysis tool Design and implement advanced machine learning and natural language processing models Develop and deploy a functional Minimum Viable Product (MVP) for automated court pack analysis Drive user training, change management ...

Acquisition & Preparation : Source, create, collect, clean, transform, and structure data for analysis and operational use, including synthetic data generation. Build and productionise ML/NLP solutions for legal and business use cases to enable better decision making. Feature Engineering & Integration : Develop new features, integrate data from internal/external sources ...

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 ...

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 ...

sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend ...

Staff Machine Learning Engineer - Fully Remote LLM & NLP required We are hiring for a Staff MLE to join a large global organisation delivering advanced language and AI solutions to clients. The Role Lead and architect large-scale machine learning projects Build and deploy scalable ML models, pipelines, and systems … understanding of ML algorithms, statistics, and data modelling Experience with large-scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (AWS, Azure, or GCP) NLP experience highly beneficial Strong leadership, communication, and stakeholder management ...

organisation is a forward-thinking technology business building data-driven products powered by advanced machine learning. They solve complex challenges across areas such as NLP, automation, and large-scale model deployment. With a distributed technical team across Europe, they emphasise collaboration, experimentation, and strong engineering standards. You'll join … engineers, championing best practices across coding, experimentation, and MLOps. Collaborate with Product and Engineering teams to define priorities and model strategy. Apply deep learning, NLP or classical ML techniques to real-world, high-impact problems. Uphold responsible AI principles across model development and evaluation. YOUR SKILLS & EXPERIENCE The successful Staff ...

Support the full product lifecycle, including development, deployment, testing and ongoing production support. Essential Skills & Experience Strong experience in Document AI/Intelligent Document Processing using both traditional techniques and Generative AI with a focus … open-source models to deliver real business outcomes. Proven experience delivering Python-based solutions to production, with exposure to machine learning, deep learning, NLP, generative AI, image processing and OCR. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, SpaCy, OpenCV, Regex or equivalent technologies. Experience delivering ...

Machine Learning Developer (Document AI & NLP) Duration: 6-month contract (FTC/Subcon) role Hybrid 3 days onsite Location:Sheffield The Role You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support. … Generative AI. Technical Requirements Mandatory Skills: Azure Machine Learning: Proven experience within the Azure ecosystem. Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models). Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP. Frameworks ...

standards and tooling-RDF/RDFS, SPARQL, OWL, SHACL-together with graph databases, ontology-design tools, and visualization platforms such as Linkurious. Apply modern NLP/NLU techniques, from topic modelling to cutting edge entity and relation extraction, plus concise text summarisation. Experience Requirements: Core semantic/graph tech …/streaming or CDC pipelines feeding a knowledge graph. Entity resolution techniques, data cleansing, enrichment, and integration from many sources. Python + ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . ...