1 to 25 of 62 Permanent Natural Language Processing Jobs in London

military environments. Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language Processing (NLP), Large Language Models (LLMs) or Image Processing. Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask ...

Nice to Have: Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language Processing (NLP) and Large Language Models (LLMs). Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask ...

Knowledge of JavaScript or other development languages would be advantageous. - Strong understanding of: Large Language Models (LLMs), Natural Language Processing (NLP), Machine Learning fundamentals and Prompt engineering. - Experience designing prompts, grounding strategies and knowledge integrations. - Experience working with agentic AI and integrating AI capabilities into business ...

share knowledge and resolve common challenges. Strong foundational knowledge of AI/ML concepts, including machine learning models, natural language processing (NLP), and data pipelines. Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with monitoring tools such as Splunk, ITRS, Grafana ...

help people explore, understand, connect, and act on complex scientific information. In this role you will: Design, develop, and deploy advanced AI, machine learning, NLP, and generative AI solutions, including LLM-powered applications, semantic search, retrieval-augmented generation (RAG), agentic workflows, and scientific knowledge discovery systems. Build and optimise intelligent … others, and deliver trusted, high-impact AI solutions that create measurable business and customer value. Requirements: Significant experience applying data science, machine learning, AI, NLP, information retrieval, and statistical techniques to build scalable, production-grade solutions, supported by an advanced degree or equivalent practical expertise in a quantitative field. hands ...

ML. Strong preference for candidates that have worked directly in building foundation models. In-depth knowledge of machine learning, particularly when it comes to Natural Language Processing & Large Language Models (LLMs). Bonus points for experience with Multimodal AI.Experience with working in a chaotic, fast paced ...

personal style, preferences and current fashion trends. As part of the Search & Discovery organisation, we bring together recommendation systems, personalisation, deep learning and large language model (LLM) technologies to create new ways for customers to explore fashion beyond traditional ecommerce experiences. As a Principal Machine Learning Engineer … infrastructure and large datasets. Technical expertise Deep expertise in two or more of the following areas: ranking and relevance, recommendation systems, deep learning, large language models, information retrieval, natural language processing or content understanding. Advanced hands-on experience with frameworks such as PyTorch, TensorFlow or similar ...

robust ML and data pipelines for experimentation and deployment. Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process. Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers. Explain ML/NLP model outputs and methodologies to non-technical … Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required. Understanding model evaluation methods ...

started. Artificial Intelligence, AI Analyst, AI Engineer, AI Developer, AI Specialist, AI Consultant, Machine Learning Engineer, Machine Learning, Deep Learning, Generative AI, Large Language Models, Prompt Engineering, Natural Language Processing, Computer Vision, Data Science, Python, TensorFlow, AI Automation, AI Product Manager, Responsible AI, AI Research ...

started. Artificial Intelligence, AI Analyst, AI Engineer, AI Developer, AI Specialist, AI Consultant, Machine Learning Engineer, Machine Learning, Deep Learning, Generative AI, Large Language Models, Prompt Engineering, Natural Language Processing, Computer Vision, Data Science, Python, TensorFlow, AI Automation, AI Product Manager, Responsible AI, AI Research ...

started. Artificial Intelligence, AI Analyst, AI Engineer, AI Developer, AI Specialist, AI Consultant, Machine Learning Engineer, Machine Learning, Deep Learning, Generative AI, Large Language Models, Prompt Engineering, Natural Language Processing, Computer Vision, Data Science, Python, TensorFlow, AI Automation, AI Product Manager, Responsible AI, AI Research ...

Lead and develop a multidisciplinary AI team , providing day-to-day management, mentorship, technical guidance and career development for AI/ML Engineers, NLP Engineers and Data Scientists. Own technical delivery , managing priorities, resources and engineering commitments while balancing rapid experimentation with production requirements. Remain hands-on , contributing Python code … models and implementations, prototyping solutions and supporting complex technical challenges. Shape AI architecture , guiding the design and development of agentic AI systems, RAG pipelines, NLP solutions and machine learning applications. Build safe and reliable AI agents , implementing appropriate guardrails, tool permissions, human-in-the-loop controls ...

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 ...

solutions across the business. This is an exciting opportunity to play a key technical role in delivering practical AI applications, leveraging Microsoft technologies, large language models (LLMs) and intelligent automation to transform business processes. The Opportunity Opportunity to build and deploy AI solutions with genuine business impact. Work with … engineering skills, ideally using Python. Practical experience with Microsoft AI technologies, particularly Azure AI Foundry, Copilot Studio and Azure DevOps. Experience working with LLMs, natural language processing and generative AI applications. Experience integrating AI capabilities into existing applications, business processes and enterprise systems. Understanding of secure software ...

bring: Required Skills and ExperienceProven experience in a consulting or advisory role within a customer-facing environment. Understanding of AI concepts including machine learning, natural language processing, generative AI and Agentic AI.Advisory experience in AI for example readiness assessments, use case prioritisation, ROI modelling, ethical ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

Department of Computer Science. We're particularly looking for candidates with research strength in a core area of AI, such as generative models, natural language processing, reinforcement learning, AI verification and AI security and assurance. The AI & Machine Learning group is a key strength of the department … pension schemes - Cycle to work scheme - Electric vehicle salary sacrifice scheme - Staff discount at Team Bath gym - Staff benefits, including discounted postgraduate tuition and language courses, alongside a wide range of personal and professional development opportunities such as apprenticeships, LinkedIn Learning, and more - Local discounts, including free entry ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers … translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g. ...

solution delivery. Proven experience delivering scalable AI/ML solutions in client-facing or collaborative roles. Solid expertise in machine learning, generative AI, NLP, computer vision, data platforms, and big data technologies. Experience with cloud-native development, microservices, container orchestration (Kubernetes, Docker).Proficiency with cloud platforms: Azure, AWS, GCP.Familiarity with ...

Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)Practical experience with NLP and/or Search techniquesPrompt engineering, and LLMs for enterprise-scale applications. You have team lead experienceStrong collaboration skills with the ability to work across engineering ...

Strong communication skills and commercial mindset. Nice to Have Experience in financial services, quantitative research, trading, or investment management. Exposure to LLMs, AI agents, NLP, or advanced analytics. Experience working in highly data-driven environments. If you're excited by the opportunity to work on some of the most exciting ...

pipelines and processing workflows. Architect cloud-native backend systems and distributed AI services. Collaborate closely with Data Scientists to productionise Machine Learning and NLP models. Develop high-performance RESTful APIs and microservices for AI model serving. Drive system reliability, monitoring, observability and performance optimisation. Champion engineering best practices including … 5+ years' commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering. Expert-level Python development experience. Experience productionising Machine Learning, NLP or Generative AI models. Strong experience designing and building RESTful APIs and microservices using frameworks such as FastAPI , Flask or Django . Strong SQL skills ...

Azure DevOps. Software development capability, ideally with Python; JavaScript or other development languages would be an advantage. A solid technical understanding of LLMs, NLP, machine learning fundamentals and prompt engineering. Experience designing prompts, grounding strategies and knowledge integrations to produce reliable AI responses. An ability to work with agentic ...

Azure DevOps. Software development capability, ideally with Python; JavaScript or other development languages would be an advantage. A solid technical understanding of LLMs, NLP, machine learning fundamentals and prompt engineering. Experience designing prompts, grounding strategies and knowledge integrations to produce reliable AI responses. An ability to work with agentic ...