301 to 325 of 358 Natural Language Processing Jobs in England

responsibilities Lead the design, development, validation and deployment support of data science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers and software teams … Good understanding of data engineering, data quality, privacy, ethics and responsible model use. Desirable skills and experience Experience with MLOps, cloud platforms, vector databases, NLP/LLMs or AI-assisted products. Experience mentoring data scientists or setting technical standards within a team. Experience working in consultancy, public sector, regulated ...

Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing … Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. ...

that enable safe and efficient use of Generative AI at scale. We create services, applications and libraries that power the use of Intelligent Document Processing to drive real-world business impact. The Role This is a senior role within a deliberately flat team structure. You will be expected … rigorous approach to prompt structure, clarity and performance. Experience building production solutions in areas such as Intelligent Document Processing, document/data extraction, NLP-based classification, machine translation, fraud/anomaly detection or workflow automation. Experience evaluating Generative AI applications, including experiment design, model evaluation and performance measurement; exposure ...

expertise with Microsoft Fabric and Databricks Advanced Python and SQL skills, with PySpark desirable Experience building data pipelines and machine learning models Knowledge of NLP, entity resolution, or document processing is advantageous Strong communication skills and commercial awareness ...

operations to create scalable systems that make a real impact for customers and researchers About our Team SciBite is developing cutting-edge AI and NLP technologies for solving key challenges for our life science customers. We use the latest large language models combined with our award-winning semantic technology ...

operations to create scalable systems that make a real impact for customers and researchers? About our Team SciBite is developing cutting-edge AI and NLP technologies for solving key challenges for our life science customers. We use the latest large language models combined with our award-winning semantic technology ...

intensive applications operating at scale. Develop Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real‐time services using messaging, queues, asynchronous processing and distributed workflows. Build Systems for AI Agents: Develop the production software required to run increasingly agent‐driven AI workflows, including state management, task … Kubernetes/EKS, ECS, Docker, RDS/PostgreSQL and S3. Productionise AI Workloads: Work closely with our AI engineers to deploy and operate NLP, LLM and quantitative‐model workloads, including workloads using our in‐house GPU infrastructure. Own Software Through to Production: Take responsibility for testing, deployment, performance, monitoring ...

solutions company empowering the world’s most trusted enterprise AI. Our proprietary Cultural Intelligence Layer, powered by 250,000 data specialists, cultural and language experts and deep domain professionals, backed by 45+ patents, makes enterprise AI culturally fluent, contextually accurate and secure, ensuring every interaction reflects a brand … mentoring other engineers. Comfort with ambiguity and the judgment to scope, prioritize, and sequence high‐impact work with limited direction. Preferred Deep experience evaluating NLP, machine translation, or content‐generation systems, including metrics such as COMET, chrF++, BLEU, MetricX, and MQM‐style human evaluation. Experience with experimentation and observability tooling ...

solutions company empowering the world's most trusted enterprise AI. Our proprietary Cultural Intelligence Layer, powered by 250,000 data specialists, cultural and language experts and deep domain professionals, backed by 45+ patents, makes enterprise AI culturally fluent, contextually accurate and secure, ensuring every interaction reflects a brand … mentoring other engineers. Comfort with ambiguity and the judgment to scope, prioritize, and sequence high-impact work with limited direction. Preferred Deep experience evaluating NLP, machine translation, or content-generation systems, including metrics such as COMET, chrF++, BLEU, MetricX, and MQM-style human evaluation. Experience with experimentation and observability tooling ...

Engineering, or Data Engineering Strong proficiency in Python and data/AI libraries (e.g., pandas, numpy, PyTorch or similar) Solid understanding of LLMs, NLP concepts, or generative AI systems Experience with test automation frameworks (e.g., PyTest, Playwright) and CI/CD pipelines Familiarity with data pipelines, dataset design, or feature … engineering is a strong plus Experience with evaluation metrics for NLP/AI systems (BLEU, ROUGE, embedding-based metrics, or custom scoring approaches) Ability to design scalable systems and work autonomously on complex technical problems Strong analytical mindset and interest in AI system quality, reliability, and governance Reply ...

anomaly detection. You need to know the concept and be handy with the most common libraries Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. Develop Monitoring Systems: Create and support robust models for monitoring. Support and Innovate: Assist with a long … with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. Infra: Deep Knowledge of Docker, Git, cloud networking ...

## Research Engineer, AI, Digital & DataApply: United Kingdom, London Project Office: Full time: Posted Today: End Date: October 22, 2026 (13 days left to apply): JR2836PATH current employees - please log in and apply **Here**PATH ...

Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

production. You'll be involved in: Designing the architecture for new AI-powered features and services. Building production AI/ML systems using Python, NLP and LLM technologies. Developing intelligent document-processing and information-extraction capabilities. Integrating LLMs and retrieval-based approaches into existing product workflows. Designing systems that … experience. Significant experience building and deploying AI/ML applications in production. Experience designing the architecture of complex AI systems. Hands-on experience with NLP, LLMs and modern AI technologies. Strong understanding of data engineering and cloud infrastructure. Experience building reliable, scalable applications with demanding performance requirements. The ability ...

services across the business and collaborating with DevOps, data engineers, and developers in a hybrid London setting. Successful candidates will have hands-on NLP model experience, strong Python data science skills, and familiarity with MLOps, CI/CD, and agile ways of working to drive scalable, #J-18808-Ljbffr ...

advertiser outcomes. In less than 100 milliseconds, our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics of internet users. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in their products.As a Machine Learning Engineer you care … languages.• Analytical Rigor: Strong foundation in mathematics, specifically: probability, statistics, hypothesis testing.• ML Knowledge: Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs).• Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost). ...

PyTorch , ensuring scalability, reliability and performance in high‐traffic environments. Build and deploy production AI agents using foundation models and fine‐tuned Large Language Models (LLMs), alongside sub‐agents, tools and MCP integrations . Architect end‐to‐end ML pipelines, integrating large‐scale data processing technologies such … loss functions, evaluation methodology, experimentation and the trade‐offs between offline performance and online outcomes . You have experience prompting and fine‐tuning Large Language Models (LLMs) and building production AI agents using modern agentic architectures and tooling. You have proven experience designing scalable data and ML pipelines using ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

understand our products and technology at a sufficiently high level to communicate confidently with both technical and non-technical stakeholders. Knowledge of AI, NLP, biomedical science, and healthcare will help you understand client needs and effectively bridge the gap between domain experts, clients, and technical teams. Ultimately, you will … with the ability to prepare and communicate client-facing and scientific/technical materials. Working knowledge or practical experience of AI and/or NLP, with sufficient technical understanding to work effectively with technical teams and explain relevant concepts to clients. Ability to understand product and technical concepts, including ...

+ Bonus + BenefitsThis is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact. The Company A growing AI and data consultancy helping organisations use data … production environments. Hands-on Kubernetes expertise. Experience with workflow orchestration platforms. Infrastructure as Code and CI/CD experience. Understanding of production ML, NLP, or AI systems. ...

Large Language Model (LLM) Technology Architect Career Level: Associate Manager/Specialist Location: London YOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands … using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning, large scale analytical ...

Large Language Model (LLM) Technology Architect Career Level: Associate Manager/Specialist Location: London YOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands … using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical ...

Anthropic certified AI Large Language Model (LLM) Technology Architect Location: London YOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands-on role — you will … using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing bigdata,machine learning. large scale analytical engineering ...