276 to 300 of 789 Natural Language Processing Jobs in London

learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices, ensuring efficient delivery of projects. Manage version control using Git and More ❯

services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability). Familiarity with resilience More ❯

learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices, ensuring efficient delivery of projects. Manage version control using Git and More ❯

autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting … pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage If More ❯

train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting … pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage If More ❯

using innovative technology excite you? Opportunity To meet these challenges, the CMT team is looking for passionate, talented and innovative scientists looking to work on cutting edge technology, from Natural Language processing to optimization to image processing and LLMs. In addition to getting the opportunity to participate in research in several domains, you will lead the More ❯

Design and implement advanced AI solutions to automate and optimize business processes, ensuring high performance, scalability, and reliability. Agentic LLM/RAG Systems: Build sophisticated agentic systems leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), optimizing for performance and cost by selecting appropriate models (foundation, fine-tuned, or custom-built). Cross-Functional Collaboration: Work closely with … business requirements and translate them into AI-powered solutions. Technical Leadership: Provide guidance and mentorship to other engineers, establishing best practices and coding standards. Requirements: Experience in Deep Learning & NLP: Proven experience in deep learning with a focus on natural language processing. LLM Expertise: Strong understanding of large language models and grounding techniques. Production Deployment: Experience deploying More ❯

for internal/external partners or customers. Preferred qualifications: Master's degree in Engineering, Computer Science, Business, or a related field. Experience with Gen Ai technologies such as large language modelling, natural language processing, developing, or maintaining solutions in virtualized environments. Experience working with database technologies (e.g., SQL, NoSQL). Experience in an investigative role such More ❯

approach to workload, to work autonomously when required, demonstrating the ability to prioritise and organise Technical skills: Excellent working knowledge of advanced analytical techniques, including regression, segmentation, machine learning, natural language processing, text analytics, and time-series modelling Experience of a wide variety of technologies including: R or Python, SQL Understanding and experience with cloud infrastructures such More ❯

closely with teams across the company, including Microsoft Research (MSR). You will work as part of an organization that brings together talent in the areas of machine learning, natural language processing, multimodal modeling, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to … where everyone can thrive at work and beyond. Responsibilities: Manage innovative applied science teams in the area of Artificial Intelligence, specifically training, optimizing and the application of LLMs (Large Language Models). Support hiring, coaching, mentoring and career development of Applied Scientists and Software Engineers to build inclusive and ambitious applied science focused teams Collaborate closely with Microsoft Research More ❯

and Drawings such as Drawing Sets, Specifications, or Shop Drawings) Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation) LLMs and Natural Language Processing Multi-modal deep learning and/or information retrieval Publication track record in machine learning conferences and/or journals Significant post-graduate research experience … United Kingdom 2 weeks ago London, England, United Kingdom 1 day ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 days ago Research Scientist Intern, Language Generative AI London, England, United Kingdom 2 weeks ago London, England, United Kingdom 5 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks More ❯

We want to build foundational AI capabilities that can evolve with us— not bolted-on tools , but integrated, sustainable systems. This role also spans AI innovation within Translation and Language Processing , supporting our work with translation agency clients. The ideal candidate will bring a blend of hands-on technical expertise, strategic thinking , and experience in digital marketing , especially … respect. Build strong relationships across teams and client organizations. Be approachable, adaptable, and a steady guide through organizational change. Stay abreast of the latest developments in AI, marketing automation, NLP, and machine translation. Recommend emerging tools, platforms, and methodologies that improve performance and agility. Continuously optimize workflows, campaigns, and translation outputs using AI insights. Qualifications Education Bachelor’s or Master … AI-enhanced marketing platforms and copilots (e.g., Jasper,Copy.ai, Adobe Firefly) Expertise in Machine Translation (MT) systems such as DeepL, Google Translate API, or custom-built models. Familiarity with NLP techniques for text analysis, sentiment, summarization, and multilingual content processing. Understanding of translation quality assurance processes and AI-driven localization tools. Ability to collaborate with linguists, creatives, marketers, and analysts More ❯

Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc. Familiarity working within an agile team. Developing machine learning models (Python or TensorFlow). Familiarity with natural language processing or AI technologies (e.g. LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering). Experience with data pipelines and preferably processing of documents (e.g. More ❯

Vue/React Apache web server and related modules Cloud platforms such as AWS, Google Cloud, Azure CI/CD pipeline setup, testing, and administration Networking and firewall configuration Natural language processing Responsibilities Leading, motivating, and managing the development team Assign work based on business priorities and team skills Support team members' growth and learning Monitor and More ❯

field, and share knowledge with the broader team Project management, coordination, and managerial oversight where required Your Skills And Experience Expert working knowledge in deep learning and/or natural language processing, and a strong foundation in mathematics and statistics (including probability, time-series modelling, optimisation) A track record of original research and hands-on production deliveries More ❯

capabilities for embeddings and reranking models that are available across the Elasticsearch user base. As a team, we are a collaborative, cross-functional group with backgrounds in information retrieval, natural language processing, and distributed systems. We work with Go microservices, Python, Ray Serve, Kubernetes/KubeRay, and work on AWS, GCP & Azure. We provide thought leadership across More ❯

closing the Trust Gap in e-commerce, building trust infrastructure to facilitate global trade. Our impact includes being Shopify's #1 Review Solution, serving over 500k shops worldwide, and processing over … million orders monthly. Role Responsibilities Lead development of the Trust Optimisation Platform, utilizing large review datasets to generate merchant insights. Architect and develop scalable data infrastructure and pipelines. Create NLP/ML models for review analysis, trust pattern identification, and merchant benchmarking. Collaborate with product and design teams to translate data insights into features. Qualifications 5+ years in data engineering … and data science roles. Proficiency in Python and SQL. Experience with NLP/ML models, data pipelines, and ETL processes. Ability to work with large datasets, preferably in e-commerce or review data. Strong communication skills. Preferred Skills Experience with e-commerce platforms like Shopify. Background in trust metrics or customer experience analysis. Knowledge of data visualization and cloud infrastructure More ❯

AI since 2015: When Transformers were just robots in disguise AI Engineer – Legal – London/Glasgow Hybrid - £90K Are you an experienced AI Engineer with experience training and deploying language models? Have you developed LLMs and GenAI applications for the legal sector? Who are we? We’re helping a global law firm grow their tech team with the addition … harness the power of LLMs building GenAI applications for use cases such as, clause extraction, document review, contract drafting, summarisation, and redaction. Who are you? You’ll have built NLP (BERT based) models from scratch, including training the models and deploying. In addition to this you will have experience developing LLM applications using some of the more recent LLMs such … RAG pipelines and architecture, orchestrated workflows using LangChain/LangGraph/LlamaIndex etc. This role is ideal for someone with.... 2 years of experience developing and deploying BERT based NLP models Experience deploying AI models on cloud (Azure preferred) 1 years’ experience in applying NLP/LLM to legal documents 1 year experience in developing LLM applications (META, Anthropic, Google More ❯

various IT systems? If so, we 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 will work collaboratively across … Research, develop, and implement machine 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, semi-supervised, reinforcement, and deep … Proven experience implementing and fine-tuning Large Language Models or interactive AI applications (>1 year post-graduate experience); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization of More ❯

large-scale data processing Proficiency in coding with C++ or Python Solid understanding of ML fundamentals, algorithms, and techniques, including supervised, unsupervised, and reinforcement learning, and experience in NLP, computer vision, and generative AI Preferred Qualifications Experience with generative models such as diffusion models, GANs, and transformers for various media formats, including prompt engineering, fine-tuning, and evaluation Knowledge … at scale and extend beyond web search. We seek versatile engineers with fresh ideas across various domains, including information retrieval, distributed computing, system design, networking, data storage, security, AI, NLP, UI, and mobile development. As a software engineer, you will work on critical projects with opportunities to switch teams and projects as our business evolves. The Domain Applied ML team More ❯

models to forecast admissions/discharges, optimising resources and reducing bottlenecks in emergency departments. Analysing health disparities across populations by socio-economic factors, geography, or access to care. Applying NLP to unstructured data (e.g., clinician notes, patient feedback) for insights into patient needs. Using machine learning to predict outcomes like readmission rates or disease progression, supporting proactive care. Developing econometric … like emergency departments. o Analysing disparities in health outcomes across different populations, identifying factors like socio-economic status, geography, or access to care that contribute to inequalities. o Applying NLP techniques to unstructured text data, such as clinician notes or patient feedback, to extract key information and improve understanding of patient needs and outcomes. o Using supervised and unsupervised machine … health, hospital utilisation, or treatment costs. · Analyse datasets to identify trends and patterns, and applies statistical models to solve business problems; make decisions on appropriate methods for data cleaning, processing, and analysis. · Follow data analysis and econometrics best practices and contribute to the ongoing development and improvement of these. · Be able to use, adapt and improve systems and software More ❯

of Gigabytes/tens of millions rows of data per day, Vaix is building a wide range of Machine Learning solutions, from Recommendation engines, human behavior predictive models, to Natural Language Processing. We process hundreds of API requests per second from operators and respond back with latency in milliseconds. Vaix is now looking to recruit an experienced & passionate … including MS Office, Figma, Miro, Jira, Slack, and others. KPI-driven with proven ability to query, analyze, and understand data using required analytical tools. Communication & Presentation Excellence: Strong English language skills (spoken and written), with additional languages as a plus. Ability to present business and technical concepts clearly across verbal, written, and presentation formats, including sales pitches and internal More ❯

and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating LLM-powered systems such as chatbots, summarization tools, content generation workflows, or intelligent data extraction pipelines. Deep understanding of NLP fundamentals: text preprocessing, language modeling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and More ❯

and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating LLM-powered systems such as chatbots, summarization tools, content generation workflows, or intelligent data extraction pipelines. Deep understanding of NLP fundamentals: text preprocessing, language modeling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and More ❯

at multi-modal content understanding problems. Ideally you'd have: At least 1-3 years of model training, deployment and maintenance experience in a production environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models … in Computer Science or a related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc. Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/ More ❯