1 to 25 of 101 Remote/Hybrid Natural Language Processing Jobs in England

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 ...

into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs … Extract, Transform, and Load (ETL) of large corpus of data into a data lake; Participate in the Natural Language Processing (NLP) extract of unstructured data into structured meta-data through the use of tools such as Semantic understanding and meaning (Python, use of REST API); Support ensuring ...

entire software development lifecycle, designing, building, testing and delivering high-quality solutions. Build Scalable ML Solutions:You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You willdevelophigh performing scalablesystems in the context of large online delivery environments. Be a Team … cloud‐native applications, with familiarity in AWS or Azure (or a related cloud platform) Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Ability to understand and translate between language ...

deploy advanced AI and machine learning solutions. Build, train, validate, and optimize machine learning and deep learning models. Develop Generative AI and Large Language Model (LLM) applications. Create AI-driven automation, analytics, and decision-support solutions. Design scalable data pipelines for AI and machine learning workloads. Develop APIs … Skills Python (Expert Level) C# JavaScript/TypeScript SQL AI & Machine Learning Machine Learning Deep Learning Neural Networks Natural Language Processing (NLP) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Reinforcement Learning Frameworks & Technologies PyTorch TensorFlow Scikit-learn LangChain Hugging Face OpenAI and Azure ...

deploy advanced AI and machine learning solutions. Build, train, validate, and optimize machine learning and deep learning models. Develop Generative AI and Large Language Model (LLM) applications. Create AI-driven automation, analytics, and decision-support solutions. Design scalable data pipelines for AI and machine learning workloads. Develop APIs … Skills Python (Expert Level) C# JavaScript/TypeScript SQL AI & Machine Learning Machine Learning Deep Learning Neural Networks Natural Language Processing (NLP) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Reinforcement Learning Frameworks & Technologies PyTorch TensorFlow #J-18808-Ljbffr ...

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 ...

software design principles. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL, NoSQL) and data processing tools (Pandas, NumPy). Soft Skills Excellent … problem-solving skills. Strong communication abilities. Capability to work collaboratively in a team environment. Preferred Skills Experience with natural language processing (NLP) and computer vision techniques. Knowledge of reinforcement learning and deep learning architectures. Familiarity with DevOps practices and continuous integration/continuous deployment (CI/ ...

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/ ...

sound architecture decisions. Demonstrated experience with AI/ML technologies, including LLMs, Retrieval Augmented Generation (RAG), agentic workflows, Natural Language Processing (NLP), and predictive analytics, and the discipline to run them reliably in production. Track record of building on shared enterprise data platforms (for example Snowflake ...

delivery of new SOTA challenger models Tuning and optimising strategies for incumbent models Design and govern the use of Large Language Models (LLM)-as-judge approaches within alert handling processes (evaluation framework, quality controls, bias/robustness testing and auditability) Document model logic, assumptions, limitations and test outcomes … experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring Experience with hyperparameter tuning at scale and experimentation ...

Scope We are seeking an Engineering Manager to lead our Applied AI and Data Science team: a multidisciplinary group of AI Engineers, ML Engineers, NLP Engineers and Data Scientists. This is a player-coach role. You will own the health, delivery and growth of the team while remaining a hands … stepping into implementation when it matters. The team’s work spans generative and agentic AI systems built on large language models, alongside the NLP and predictive models that sit behind our products and internal tools. You will turn the Group’s AI ambitions into well-architected, production-grade systems ...

ML. Strong preference for candidates that have worked directly in building foundation models. In-depth knowledge of machine learning, particularly when it comes to Natural Language Processing & Large Language Models (LLMs). Bonus points for experience with Multimodal AI. Experience with working in a chaotic, fast ...

translation guidelines for human annotators. Use Python, pandas and SQL to analyse datasets and support research workflows. Work directly with research scientists, ML/NLP engineers and data scientists , translating complex linguistic findings into actionable insights. Evaluate linguistic vendor outputs, identify error patterns and provide actionable quality feedback. Linguist … Dravidian or Bantu language ; Swahili is particularly valuable . Other low-resource language expertise is highly regarded. Linguist IC3 Experience applying basic NLP techniques and ideally collaborating with ML, NLP, software engineering or data-science teams. Strong research and business communication skills, with the ability to explain linguistic ...

robust ML and data pipelines for experimentation and deployment. Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process. Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers. Explain ML/NLP model outputs and methodologies to non-technical … Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required. Understanding model evaluation methods ...

robust ML and data pipelines for experimentation and deployment. Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process. Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers. Explain ML/NLP model outputs and methodologies to non-technical … Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required. Understanding model evaluation methods ...

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 ...

Join our core AI team to build the speech recognition and natural language processing systems that power real-time translation between spoken and sign languages. What you'll do Design and implement state-of-the-art speech recognition models Optimize models for low-latency inference on edge … engineers and contribute to technical direction What we're looking for 5+ years of experience in ML/AI with focus on speech or NLP Strong background in deep learning frameworks (PyTorch, TensorFlow) Experience with transformer architectures and attention mechanisms Track record of deploying ML models to production Excellent communication ...

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 ...