1 to 25 of 28 Natural Language Processing Jobs in the North of England

Solutions Engineer (Natural Language Querying) | Leeds/London UK | £70,000 - £80,000 + Benefits The Company Our client is a leading global supply chain organisation that is shaping the future of data-driven intelligence for some of the worlds biggest retail and FMCG companies. They are committed … This is no ordinary Solutions Engineer role, this would suit a presales engineer or vendor solutions engineer or architect with skills and experience in Natural Language Processing and LLM based products. Specifically, you will play a key role in enabling advanced AI/LLM capabilities and driving ...

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 ...

machine learning models into production environments Work with structured and unstructured data at scale Build and optimise models across areas such as predictive analytics, natural language processing, computer vision, or generative AI Collaborate with software engineers to integrate models into live applications Monitor, evaluate, and improve model … Desirable Experience Experience with Generative AI or large language models Exposure to tools such as Hugging Face, MLflow, Kubeflow, or similar Knowledge of NLP, computer vision, or recommendation systems Experience working in agile or product-led environments Whats on Offer Competitive salary and benefits package Hybrid or remote working ...

innovative SaaS company transforming corporate finance with AI-powered automation. Their platform streamlines back-office processes in Accounts Payable and Accounts Receivable, leveraging natural language processing, machine learning, and proprietary AI models to reduce repetitive tasks, accelerate insights, and provide real-time cash visibility. They help organisations … Cash, EPM/CPM, ERP, and Treasury. Experience selling into the Office of Finance (Controllership, FP&A, Treasury). Familiarity with AI concepts (LLMs, NLP, Generative AI, AI explainability). Thrive in fast-paced, early-stage environments and work independently. Excellent presentation and communication skills. Hands-on experience with Workday ...

innovative SaaS company transforming corporate finance with AI-powered automation. Their platform streamlines back-office processes in Accounts Payable and Accounts Receivable, leveraging natural language processing, machine learning, and proprietary AI models to reduce repetitive tasks, accelerate insights, and provide real-time cash visibility. They help organisations … Cash, EPM/CPM, ERP, and Treasury. Experience selling into the Office of Finance (Controllership, FP&A, Treasury). Familiarity with AI concepts (LLMs, NLP, Generative AI, AI explainability). Thrive in fast-paced, early-stage environments and work independently. Excellent presentation and communication skills. Hands-on experience with Workday ...

innovative SaaS company transforming corporate finance with AI-powered automation. Their platform streamlines back-office processes in Accounts Payable and Accounts Receivable, leveraging natural language processing, machine learning, and proprietary AI models to reduce repetitive tasks, accelerate insights, and provide real-time cash visibility. They help organisations … Cash, EPM/CPM, ERP, and Treasury. Experience selling into the Office of Finance (Controllership, FP&A, Treasury). Familiarity with AI concepts (LLMs, NLP, Generative AI, AI explainability). Thrive in fast-paced, early-stage environments and work independently. Excellent presentation and communication skills. Hands-on experience with Workday ...

grade data pipelines using Python, Scala, Spark, and SQL - Deep knowledge of AWS Cloud Platforms (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB) - Experience with data processing across structured and unstructured sources - Strong scripting abilities and API integration skills - Knowledge of data visualization and reporting best practices Desirable but not essential … Experience with data mining and machine learning - Natural language processing expertise - Multi-cloud platform experience They work within an Agile environment with Scrum practices, cross-functional collaborative teams and need someone who can work from the office 2 days a week. Salary: £50,000 - £95,000 + ...

track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools ...

track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools ...

track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools ...

track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools ...

track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools ...

track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools ...

track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools ...

results to stakeholders and executives effectively. Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience ...

results to stakeholders and executives effectively. Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience ...

results to stakeholders and executives effectively. Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience ...

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 ...

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 ...

understand data requirements and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies … including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/ ...

understand data requirements and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies … including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/ ...

understand data requirements and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies … including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/ ...

understand data requirements and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies … including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/ ...

understand data requirements and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies … including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/ ...

understand data requirements and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies … including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/ ...