326 to 350 of 411 Natural Language Processing Jobs in the UK

platforms. The role involves code development, deployment, and ongoing optimization to impact consumer experiences. The ideal candidate has solid experience in search technologies, NLP, and English proficiency, with a customer-focused approach and strong technical acumen. #J-18808-Ljbffr ...

Senior NLP Engineer Job Description: Theta Lake is the only communication compliance vendor directly financially backed by the leaders in unified communications including funding by Zoom, Salesforce, RingCentral, and Cisco as well as Wells Fargo and tier 1 venture firms including Battery, Lightspeed, and Neotribe.Theta Lake is also the only … solve their communication capture, archiving, proactive compliance risk detection, and surveillance needs. Read more: https://thetalake.com/The Position As Senior NLP Engineer you’ll be part of Theta Lake’s Data Science team, building and improving the models and pipelines that turn messy, multi-modal communication into ...

Machine Learning Researcher A fantastic opportunity for a Machine Learning Researcher with a strong academic background and a particular interest in Large Language Models. You will help develop practical AI applications, from early research and experimentation through to implementation, working with software engineers to bring ideas into real products. … Researcher/Research Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/ML Scientist/Deep Learning Researcher/NLP Researcher/Research Software Engineer/Python/PyTorch/Large Language Models/LLM/LangChain/LangGraph/AI Agents/Enterprise Search ...

have an exciting opportunity for you at Medpace. We are currently seeking a professional with experience with artificial intelligence (AI) tools such as NLP, LLM, IA etc. This professional will be programming and fine-tuning various AI tools and helping IT teams to implement them into new applications. This professional … learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems; Research, develop, and implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised ...

interpret incoming information, assess its relevance and deliver results that users can inspect and trust. What you’ll do Build and improve LLM and NLP pipelines that extract entities, identify developing narratives and produce structured market intelligence. Design evaluations for accuracy, consistency, latency and failure modes, then use the results … product capabilities. Strong Python and software engineering skills, with experience shipping AI or machine-learning systems into production. Hands-on experience with LLMs or NLP, including evaluation and the practical limits of model outputs. The ability to own a technical problem: make design choices, write maintainable code, test ...

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 … require novel solutions but are constrained by regulatory and compliance requirements. Experience building production systems for one or more of: document/data extraction, NLP-based classification, machine translation, fraud or anomaly detection, or workflow automation. Experience evaluating the performance of Generative AI applications – exposure to Mlflow, experiment design, evaluation ...

data. Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. A deep understanding of how modern models are built, not only how they're used: transformer architectures, pre-training … models yourself, for example with the Hugging Face ecosystem (Transformers, PEFT/LoRA, TRL), and can explain from first principles why a system fails. NLP depth on long-form professional text: classification, information extraction, entity resolution, summarisation, embeddings and retrieval. Real-world delivery of modern AI approaches (RAG, fine-tuning ...

loop review where the stakes demand it. Lead Innovation: Push the envelope with cutting‐edge LLM and agentic techniques to solve hard problems in language understanding, extraction, and reasoning. Shape the Product: Collaborate with Product, Design, and Underwriting SMEs to align ML capabilities with product goals and real domain … reliability at scale. What type of person fits the role: Experience: 6+ years in ML/AI, with deep hands‐on expertise in NLP, LLMs/SLMs, and agentic systems. LLMs & Architectures: Hands‐on experience building with OpenAI and Anthropic models/APIs; strong knowledge of LLMs and agent architectures. ...

including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk … machine learning engineering Strong Python engineering skills and experience with modern ML frameworks Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based) Ability to build reproducible training and evaluation pipelines Experience containerising and deploying models (e.g., Docker, Fast API) Solid data and database engineering ...

design, architecture, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions. The role requires deep expertise in LLMs, Agentic AI, NLP, RAG architectures, MLOps, and cloud-native AI platforms on Google Cloud Platform (GCP). The architect will be responsible for defining AI solution strategies, driving … solution architecture, stakeholder management, and hands‐on expertise in modern AI ecosystems Mandatory Skills AI/ML Experiment design and A/B testing NLP and text analytics Generative AI Prompt Engineering AI Agents and Multi-Agent Systems Copilot and Conversational AI development BigQuery Dataflow Cloud Functions GKE Pub/ ...

customer, and have a say in how models are built, validated and deployed in secure environments. What you'll be working on ML and NLP models for intelligence data: pattern detection, data matching, anomaly spotting Automated triage and analysis of large, messy, multi-source datasets (sensor, geospatial, comms) Graph analytics …/ML strategy and best practice as you grow Must have: Experience of Python-based data science and ML, and some exposure to NLP or graph analytics. Comfortable with sensitive data. Able to explain complex analysis to non-specialists. #J-18808-Ljbffr ...

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. ...

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 ...

systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission … distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands ...

## 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 ...