76 to 100 of 419 Natural Language Processing Jobs in England

microservices.Demonstrated experience with event-driven architectures (e.g., Kafka, RabbitMQ).Solid experience with modern front-end frameworks, specifically Angular.Experience with AI technologies, including machine learning, natural language processing, or other AI domains.Specific experience with agentic AI development, including designing, building, and deploying intelligent agents for business applications.Technical Skills ...

experience with event-driven architectures (e.g., Kafka, RabbitMQ).Solid experience with modern front-end frameworks, specifically Angular. Experience with AI technologies, including machine learning, natural language processing, or other AI domains. Specific experience with agentic AI development, including designing, building, and deploying intelligent agents for business applications. ...

LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation.About YouQualificationsAdvanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field.Proven track record of delivering AI solutions from research to production in real-world applications.KnowledgeStrong foundation … expertise in financial services or other regulated industries is highly desirable.ExperienceStrong experience in AI/ML research and development, specializing in deep learning-based NLP, Information Retrieval, and Generative AI.Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques.Experience in building knowledge bases and ontologies ...

Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning, deep learning, natural language processing and other relevant AI fields.· Proven track record of designing, developing, and deploying AI systems in production environments.· Proficient … well placed to create change. If you share our commitment to achieving excellence and working to the highest audit standards, are a natural collaborator who values different perspectives and relishes the opportunity to develop and progress - then KPMG could be the place where you can thrive.#LI-AT#LI ...

React and other web technologies such as HTML and CSSYou have experience of integrating APIs and AI servicesYou have a good understanding of Large Language Models (LLMs) and Natural Language Processing using Claude, OpenAI, Gemini, Foundry etc You're collaborative with advanced communication skillsIdeally you will ...

fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch … streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands‐on experience in implementing distributed/multi‐threaded/scalable applications Track record of developing, deploying business critical machine learning models #J-18808-Ljbffr ...

fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well‐researched interest in NLP Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with PyTorch … streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands‐on experience in implementing distributed/multi‐threaded/scalable applications Track record of developing, deploying business‐critical machine learning models #J-18808-Ljbffr ...

empower content developers worldwide.What You'll DoYou will work with our team of applied research engineers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus … field, or 3+ years of relevant industry experience Experience creating/applying machine learning algorithms for action modeling of bots behavior, vision-based or language-instructed, and deploying them as production-level systems in-gameExpert, hands-on knowledge of:Deep learning, incl. but not limited to applications ...

have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their ...

lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python ...

performance, interpretability and appropriate use of AI, in line with organisational standards and expectations. Promotes the adoption of modern AI techniques, including machine learning, natural language processing and advanced analytics, where appropriate to business needs. Champions effective software engineering practices, including modular design, reuse of components … Studio. Well‐versed in modern machine learning approaches, MLOps practices and cloud‐based AI architectures. Proficient in Python, common machine learning frameworks, distributed processing concepts and core MLOps practices. Experience designing APIs, building microservices and implementing end‐to‐end ML pipelines on cloud platforms. Demonstrates experience of cloud platforms ...

role for a technically strong leader who can guide a team across a broad data science portfolio. The work may include machine learning models, NLP pipelines, entity extraction, classification, ranking, search, recommendation, data quality, knowledge graph enrichment, predictive analytics, LLM-based systems, Gen AI Agents, Multi Agent systems … model evaluation, data quality, and production collaboration.Data science deliveryLead the application of data science methods across a broad portfolio, including machine learning, statistical modelling, NLP, neural networks, search, recommendation, knowledge graphs, and generative AI.Oversee the development and improvement of models and pipelines for tasks such as classification, entity recognition, entity ...

role for a technically strong leader who can guide a team across a broad data science portfolio. The work may include machine learning models, NLP pipelines, entity extraction, classification, ranking, search, recommendation, data quality, knowledge graph enrichment, predictive analytics, LLM-based systems, Gen AI Agents, Multi Agent systems … evaluation, data quality, and production collaboration. Data science deliveryLead the application of data science methods across a broad portfolio, including machine learning, statistical modelling, NLP, neural networks, search, recommendation, knowledge graphs, and generative AI.Oversee the development and improvement of models and pipelines for tasks such as classification, entity recognition, entity ...

powers Elsevier’s Data Scientists at Corporate Markets in the domain of Life Sciences. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our work empowers R&D within Chemistry and Biology domain, to support that … grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems Collaboration Partner with Data Scientists, Engineers, Subject Matter Experts, Product Managers ...

maintainable, production-ready and can be readily adapted to future developments.· Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance.· Collaborate closely with product, design, and other … frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications.· A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine-tuning.· Strong software engineering foundations such as version control, unit ...

algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization. Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions. Represent Bloomberg at industry events, scientific conferences, and within open-source communities. You’ll need … have: Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics ...

particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM‐based approaches) Other information If you feel that you would ...

Knowledge Proven experience in data science and data analysis. Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis. Knowledge of data platforms and data processing, including batch and real‐time automation. ...

projects3+ years of proven experience in managing delivery projects with a significant AI component combined with an understanding of AI concepts including machine learning, natural language processing, generative AI and Agentic AIEvidence of managing complex technical delivery, comprising bespoke engineering rather than pure COTS solutions, for Enterprise ...

drive adoption of AI/ML Solutions into top accounts.- Experience and passion for designing and developing innovative AI/ML solutions that leverage natural language processing, computer vision, statistical learning theory.- Ability to communicate complex topics to an audience with various functional knowledge, i.e. presentation skills ...

retrieval pipelines, reranking systems, intelligent agents and automated taxonomy generation. Design robust evaluation frameworks, define metrics and benchmark model performance across a range of NLP applications. Improve semantic search and retrieval capabilities using advanced machine learning and information retrieval techniques. Partner with engineering teams to deploy and monitor production-ready … deliver impactful AI solutions while mentoring colleagues and promoting technical best practice. Your Skills & Experience Strong commercial experience with transformer architectures and modern NLP techniques. Advanced Python and PyTorch skills, including custom model training and optimisation. Experience fine-tuning, evaluating and deploying large language models. Experience working with large ...

Systems could take you.Role DescriptionBAE Systems Digital Intelligence Defence Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics.We are looking for an AI/… well as to grow technical research areas of interest to you.You will have strong experience of working in projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical ...

could take you. Role Description BAE Systems Digital Intelligence Defence Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking … well as to grow technical research areas of interest to you. You will have strong experience of working in projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), knowledge graphs and/or graph machine learning and with a vision on how to develop solutions ...

could take you. Role Description BAE Systems Digital Intelligence Defence Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking … well as to grow technical research areas of interest to you. You will have strong experience of working in projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), knowledge graphs and/or graph machine learning and with a vision on how to develop solutions ...

experts to create holistic solutions for clients. The role requires a significant level of technical knowledge relating to, for example, communications and reputational data, natural language processing, data engineering in consulting environments, or AI and the application of analytics in relation to solving reputational challenges.What … statistical and machine learning-oriented approaches to investigate and interpret data Work with other data scientists to build and support custom solutions, applications and processing pipelinesInterrogate multiple data source and extract insights by combining information from each Detect hidden patterns, identify trends, reveal drivers, predict developments, visualise similarities ...