226 to 250 of 358 Natural Language Processing Jobs in England

prompt registries, model and version governance, monitoring and alerting, and rollback strategies Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event‐driven patterns, meeting service level objectives Partner with product, operations … stakeholder management and teamwork skills, with the ability to drive outcomes in partnership with cross‐functional teams Preferred Qualifications, Capabilities, and Skills Experience with NLP and generative AI, including large language models, retrieval‐augmented generation, tool and function calling, agentic workflows, multi‐agent orchestration, and related evaluation and safety ...

Testing Site - JPMC is seeking an innovative data scientist to design and implement ML solutions that enhance investment processes, elevate client experiences, and streamline operations within the Data Science team in Greater London. Initially you ...

will collaborate with country analysts, economists, and developers to deliver interpretable, scalable insights and support decision-making. You will develop, refine, and monitor NLP and ML models, build robust data pipelines, and communicate outputs to stakeholders in a fast-paced, collaborative environment. #J-18808-Ljbffr ...

Applied AI ML team. The role combines cutting-edge AI techniques with the bank's data assets to optimize decisions and automate processes, leveraging NLP, CV, and statistical ML. You will build products to automate tasks, help experts prioritize work, and enable re-use of foundational components across teams. #J ...

clients and internal teams to deploy impactful AI capabilities. The role offers hybrid working with two days in Central London, and a focus on NLP/LLMs, data engineering, and scalable cloud architectures in FinTech contexts. #J-18808-Ljbffr ...

closing deals. Based in the UK with experience selling into UK/EU markets. Strong understanding of AI technologies (e.g., generative AI, machine learning, NLP, automation). Excellent consultative selling, communication, and stakeholder management skills. Experience selling into enterprise, healthcare, research tech, or public sector organisations is a plus. Equal ...

existing systems and information architecture. Design and deliver AI enabled features for Data Center Services, including time series anomaly detection, predictive capacity planning, ticket NLP, and knowledge retrieval. Participate in communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies. Contributes to team ...

proven record of success in online data science competitions, such as Kaggle. Experience in deep learning, reinforcement learning, non‐convex optimisation, Bayesian non‐parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy, NumPy, Pandas and Jupyter Notebooks ...

Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast‐growing start‐up We serve ...

solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language ...

existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices … related technical roles, with 4–5 years focused on AI/ML Proven success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision Strong understanding of the AI solution lifecycle — from business case and requirements gathering to deployment and monitoring Demonstrable client‐facing consulting experience ...

predictive models and build efficient, automated processes for delivering modelling results at scale Apply modern machine learning capabilities - including AI/ML, deep learning, NLP, causal ML, and explainable AI - across multiple data modalities and clinical development contexts Apply statistically rigorous approaches to clinical trial data, including survival analysis, longitudinal … independently and as part of a team Preferred Qualifications: Experience with genomics, proteomics, imaging, flow cytometry, or immunobiology datasets from clinical trials Experience with NLP, causal ML, explainable AI, and survival analysis/time-to-event modelling Knowledge of molecular biology and understanding of disease pathways Experience with real-world ...

clinical, and commercial functions. Acting as a trusted advisor, you will design and deliver scalable solutions using machine learning, Generative AI and large language models to address key challenges in drug discovery, clinical development, pharmacovigilance and patient engagement. You will combine domain experience with technical expertise and consulting capabilities … sciences use cases Expertise in structured and unstructured life sciences data, including clinical and real-world datasets Familiarity with machine learning techniques such as NLP and deep learning, applied to biomedical data Knowledge of cloud technologies (Azure, AWS or GCP) and model deployment using MLOps frameworks Strong programming skills ...

assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning and gen AI solutions to meet enterprise … essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source ...

based version control Experience develop ing predictive models and quantitative analyses that support intelligence assessments and operational decision-making Experience applying NLP or text mining to reporting and open-source content Experience integrating multi-INT data such as SIGINT, HUMINT, GEOINT, OSINT, or MASINT, and performing pattern-of-life analysis … based version control Experience develop ing predictive models and quantitative analyses that support intelligence assessments and operational decision-making Experience applying NLP or text mining to reporting and open-source content Experience integrating multi-INT data such as SIGINT, HUMINT, GEOINT, OSINT, or MASINT, and performing pattern-of-life analysis ...

implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where relevant. Translate business and customer needs into clear research questions, experimental plans, technical requirements and measurable … design, model development, evaluation and prototype demonstration. Hands-on experience in at least one advanced AI area such as deep neural networks, computer vision, NLP/LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn ...

National Physical Laboratory (NPL) invites applications for an experienced Higher Scientist in its Informatics group, within the Data Science & AI department. You will tackle data engineering challenges, develop semantic technologies and knowledge graphs, and contribute ...

seeking a data analyst focusing on consumer and market datasets to identify emerging risks and consumer harm signals using statistical, machine learning, and NLP techniques. You will design and deploy scalable analytical solutions, automate data workflows, and build dashboards to support evidence-based decision-making for regulatory purposes, while ensuring ...

seeking a data analyst focusing on consumer and market datasets to identify emerging risks and consumer harm signals using statistical, machine learning, and NLP techniques. You will design and deploy scalable analytical solutions, automate data workflows, and build dashboards to support evidence-based decision-making for regulatory purposes, while ensuring ...

Santander UK and Group partners in a fast-paced, regulated environment. The role requires strong leadership, product management experience, and deep knowledge of AI, NLP, and customer journeys. #J-18808-Ljbffr ...

Elsevier is seeking a DataOps Engineer to maintain and evolve data and ontology pipelines that power our AI and NLP technology stack. You will collaborate with Ontology and Data Science teams to build high-quality vocabularies and data products, while crafting automation and software solutions to boost efficiency and customer ...

Elsevier seeks a Data Science Leader to define and lead AI and data science strategy across ML, NLP, search, and generative AI. You will guide teams through the full lifecycle from experimentation to production, aligning work to product goals and customer needs, while influencing senior stakeholders and shaping roadmaps. ...

dashboards, and translate collection requirements into repeatable, data-driven workflows. Ideal candidates have 5+ years in data science, strong Python/SQL or R, NLP experience, and a TS/SCI clearance. #J-18808-Ljbffr ...

Economist Group is 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, combining hands-on coding with people leadership to deliver production-grade AI systems. ...

create governed data assets, reliable pipelines and lakehouse models using Microsoft Fabric and Databricks. You will turn priority data sources into reusable assets, develop NLP and ML models, ensure data quality and provenance, and publish features through Fabric/Databricks APIs or products, #J-18808-Ljbffr ...