176 to 200 of 269 Natural Language Processing Jobs in London

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 ...

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 ...

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 ...

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. ...

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 ...

software using KDB+/Q, Python, C++, and JavaScript on a fast-paced trading floor. The role emphasizes rapid response to trader demands, with NLP/ML techniques to maximize insights from large data sets. Requires 3+ years in front-office quant roles and advanced degree. #J-18808-Ljbffr ...

technologists. We believe this layering of experience is key to building cutting edge AI that is operationally relevant. With our foundations set in NLP, computational linguistics and graph technology we now draw on the latest ideas in agentic AI and knowledge representation, as we set our sights firmly on defining ...

tick every box. We’d still love to hear from you. Nice to have Any exposure to AI-generated content, NLP outputs, or taxonomy/classification systems. An interest in HR technology, talent management, or how organisations think about skills and roles. Experience defining what “good” looks like for data ...

contributing to the next generation of AI-powered scientific discovery tools. This role is ideal for someone with hands-on experience in applied AI, NLP, information retrieval, and LLM-based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. Key responsibilities Applied AI & Research … Support delivery of projects from research and experimentation through production deployment. Required qualifications Master’s or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field Hands-on experience ...

will be working on the following: Extending and maintaining the codebase for the data pipeline which feeds into our carbon offsets database Data gathering, processing and analysis; researching and implementing ways to unlock data from new sources (public websites, APIs, .pdf reports, etc.) Building out the functionality … touch and we’ll be happy to discuss further. Preferred Qualifications Experience with Vue or other similar JavaScript framework Experience with simple NLP methods using Gensim and scikit-learn Knowledge of testing methodologies and an uncompromising ethic around automated testing Experience with microservices architecture Perks Coming on board ...

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 … years) 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 ...

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 ...

Engineering Manager to lead our Applied AI and Data Science team. This role blends people leadership with hands-on engineering, guiding AI and NLP systems across our products and internal tools. You will partner with product, data engineering and business stakeholders to drive AI-native engineering and scalable production-grade ...

have deep machine learning expertise and Staff-level technical judgement, and you're comfortable getting hands-on when it matters• You bring experience across NLP, audio/music content understanding and recommender systems• You have a track record of managing engineering teams while delivering complex, cross-functional initiatives• You enjoy ...

have deep machine learning expertise and Staff-level technical judgement, and you're comfortable getting hands-on when it matters. You bring experience across NLP, audio/music content understanding and recommender systems. You have a track record of managing engineering teams while delivering complex, cross-functional initiatives. You enjoy ...

Professional Experience Qualification Bachelor's or Master's Degree in Computer Science, Machine Learning, or related field Job Skills Python LLM Fine-Tuning NLP RAG Architectures Vector Databases SQL Generation PyTorch/Transformers As an AI/ML Engineer at Nexalytica, you will design and improve the core intelligence layer … care about evaluation, reliability, and user trust as much as you care about model architecture. 3–5 years of experience building ML/NLP systems in production. Strong proficiency in Python and ML frameworks like PyTorch or TensorFlow . Hands-on experience with large language models, prompt engineering ...

agent frameworks (e.g. Microsoft Agent Framework, LangChain) or your own orchestration. Experience with content, publishing, or knowledge‐management workflows (CMS integrations, editorial tooling, document processing … . Exposure to modern data platforms (e.g. Snowflake, ClickHouse, Databricks, BigQuery) or working with data engineering teams. A background or coursework in machine learning, NLP, or data science. Open‐source contributions, side projects, or writing that show you build for the love of it. An interest in economics, forecasting, financial ...