1 to 25 of 37 Remote/Hybrid Natural Language Processing Jobs in the UK excluding London

research in detecting and analysing online misinformation. Your work will advance explainable methods from machine learning (ML) and natural language processing (NLP) to analyse false and misleading narratives spreading over time and online platforms, working in close collaboration with journalists and fact-checkers. You will also evaluate … protocols, ensuring that the AI methods are reliable and robust to adversarial attacks. Main duties and responsibilities Apply natural language processing (NLP) and machine learning techniques to analyse online disinformation narratives in near-real-time social media streams. Evaluate the accuracy of online chatbots and AI-generated ...

products that let our customers personalise messages across every digital touchpoint. You'll work with text data and with cutting-edge technologies including Large Language Models (LLMs), bringing Accessible Intelligence to our customers across both Personalize and Optimove's overall platforms. This is a role for an engineer … affect delivery, model quality or customers. Best Bits of the Job Exposure to a wide range of ML domains, including large-scale search, ranking, Natural Language Processing, hybridisation, classification and text data processing. Working with modern ML technologies, including LLMs, to enhance our products. Fully real-time ...

order to support predictions and business decision. Possible Tasks within this role Qualification requirements Skills Critical thinking AIOps Natural language processing (NLP) Analytical thinking R (programming language) Problem-solving Programming language Python MLOps Predictive analytics Innovative thinking Job ID: 5354 Location: Milton Keynes, GB, MK14 ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

planning sensible modernisation and retirement pathways. Data science, AI and intelligent automation Identify high‐value use cases for machine learning, generative AI, computer vision, natural language processing, optimisation and robotic process automation. Lead the design, validation, deployment and monitoring of models such as propensity, customer segmentation, forecasting …/GitHub, CI/CD, VB/VBA, C#, HTML, CSS, JavaScript and full‐stack patterns Data science and AI-Forecasting, classification, clustering, recommendation, NLP, LLMs, RAG, embeddings, vector databases, OCR, computer vision and model monitoring Automation-Workflow automation, RPA, API integration and human‐in‐the‐loop process design Person ...

sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software. An understanding of data governance and best practices to ensure data protection. Experience planning technical activities and structuring work … bachelor’s degree in a STEM field. Desirable skills and experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Stay up to date with cutting edge ...

genuinely improve services, then design, build and evaluate solutions that work in practice. Our work can include statistical analysis, machine learning, natural language processing, generative AI and agentic systems. Senior Data Scientists combine hands‐on technical delivery with the judgement needed to work through ambiguity, communicate uncertainty … communicate what it can and cannot tell us; prototype, build and evaluate statistical, machine‐learning or AI systems; design and evaluate systems using large language models, retrieval, tools or agentic workflows; establish appropriate boundaries between model‐driven behaviour, deterministic software and human decision‐making; develop evaluation approaches, test cases ...

genuinely improve services, then design, build and evaluate solutions that work in practice. Our work can include statistical analysis, machine learning, natural language processing, generative AI and agentic systems. Senior Data Scientists combine hands‐on technical delivery with the judgement needed to work through ambiguity, communicate uncertainty … communicate what it can and cannot tell us; prototype, build and evaluate statistical, machine‐learning or AI systems; design and evaluate systems using large language models, retrieval, tools or agentic workflows; establish appropriate boundaries between model‐driven behaviour, deterministic software and human decision‐making; develop evaluation approaches, test cases ...

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 ...

. 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 ...

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. ...

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 ...

pipelines and production-grade model code within governance standards. The role requires strong Python, ML lifecycle, and cloud experience, with exposure to Generative AI, NLP, and responsible AI practices. #J-18808-Ljbffr ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing … judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning, or prompt engineering Exposure to distributed data processing frameworks, such as Spark Exposure to fraud detection, anti-money laundering, anomaly detection, or graph and network-based modelling Awareness of model risk management, governance, and regulatory ...

Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing … judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning, or prompt engineering Exposure to distributed data processing frameworks, such as Spark Exposure to fraud detection, anti-money laundering, anomaly detection, or graph and network-based modelling Awareness of model risk management, governance, and regulatory ...

data science with client-facing consultancy to help public sector clients use data and AI responsibly. You will work with Python, ML and NLP, design and evaluate AI solutions, mentor colleagues, and contribute to building maintainable data services. The role requires SC clearance and UK residency; salary range ...

data science with client-facing consultancy to help public sector clients use data and AI responsibly. You will work with Python, ML and NLP, design and evaluate AI solutions, mentor colleagues, and contribute to building maintainable data services. The role requires SC clearance and UK residency; salary range ...