26 to 50 of 116 Natural Language Processing Jobs in the UK excluding London

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

professional certification/licences (Required) **Languages:** * English (Required); Spanish or experience working across international teams (Preferred) **Hard Skills:** * Strong knowledge of machine learning, natural language processing, generative AI, experimentation, statistical analysis and model evaluation (Required)* Experience owning a digital, data or AI product through its full lifecycle ...

focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such as generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise ...

reporting and multi-tenant service delivery.Experience designing for managed-services or shared-operations environments.AI-Assisted Operations and AutomationPractical experience designing AI-assisted capabilities using natural language processing, speech analytics, retrieval-augmented generation (RAG) and vector search.Experience with workflow and LLM orchestration frameworks, such as Conductor, Kestra, LangChain ...

technologies such as Azure AI Foundry Experience working with LLMs and Agentic AI on real-world problems. Strong understanding of machine learning algorithms and natural language processing techniques. Strong inter-personal skills and ability to collaborate with cross-functional teams and translate business problems into technical solutions. ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

processes - HR service delivery, talent acquisition, reward, workforce planning, learning & development, performance and payroll. Strong grasp of AI, generative and agentic AI, automation, natural language processing and advanced analytics as applied to HR. Knowledge of data management, integration frameworks and HR data privacy, security and regulatory requirements. ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

Developing advanced analytical models using consumer and market datasets to identify emerging risks, trends and consumer harm signals while applying statistical, machine learning and natural language processing techniques to extract insights from structured and unstructured data Designing, testing and deploying scalable analytical solutions that improve the efficiency ...

Developing advanced analytical models using consumer and market datasets to identify emerging risks, trends and consumer harm signals while applying statistical, machine learning and natural language processing techniques to extract insights from structured and unstructured data Designing, testing and deploying scalable analytical solutions that improve the efficiency ...

validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers … translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g. ...

transform data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build ...

engineering concepts, plus 5+ years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining … data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems. Applied NLP experience - text-to-SQL/natural-language query, entity extraction and linking, relevancy ranking, summarization, and news or research feed analytics; exposure to computer ...

. Knowledge of data visualisation tools such as Power BI or Tableau. Experience with Git/version control. Exposure to Generative AI, LLMs or NLP . Experience deploying models into production environments. What's on Offer Competative salary Hybrid working 25 days' annual leave + bank holidays Company pension scheme ...

Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work ...

record in sales and/or pre-sales and in delivering data transformation programs and developing teams PREFERRED QUALIFICATION Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering Experience with LLMs for enterprise-scale applications. Hands-on experience with cloud platforms (AWS, Azure, GCP) Well ...

Well versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability ...

outcomes. About you Strong hands-on experience taking Machine Learning and Generative AI solutions into production, including RAG architectures. Deep technical knowledge of LLMs, NLP, Python, SQL and frameworks such as PyTorch or TensorFlow. A solid understanding of MLOps, DevOps, CI/CD and DevSecOps. Experience leading AI initiatives ...

Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data ...

software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building new relationships and maintaining current customer relationships. ...

engineers. Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-5.5), iterate on model architectures … implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Stay informed about the latest trends and advancements ...

architectures and solutions. Facilitate AI discovery and use case workshops. Develop advanced machine learning and predictive models. Lead implementation of generative AI solutions. Design natural language querying,OCRand conversational AI solutions. Oversee model deployment, monitoring, and governance. Mentor consultants and provide technical leadership. Support pre-sales activities … delivery. Advanced Python and PySpark skills. Strong Microsoft Fabric experience. Experience with machine learning frameworks and libraries. Experience delivering generative AI solutions. Knowledge of NLP, document intelligence, and multimodal AI. Understanding of MLOps principles and practices. Strong stakeholder engagement and workshop facilitation skills. Experience mentoring technical teams. Strong consulting ...

visualisations to non-technical audiences. Awareness of data ethics, privacy, bias, model limitations and responsible use of data. Desirable skills and experience Experience with NLP, time series, optimisation, predictive analytics or simulation. Experience with cloud data platforms, notebooks, Git, APIs or data pipelines. Experience delivering data science outputs within Agile ...

software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent customerrelationships. Expertise Required ...

/Agentic RAG pipelines: chunking and indexing, retrieval tuning, re-ranking, grounding checks. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering ...