201 to 225 of 795 Natural Language Processing Jobs in London

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence JPMorgan Chase & Co. London, United Kingdom NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence JPMorgan Chase & Co. London, United Kingdom Apply now Posted 3 months ago Permanent Competitive NLP …/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence Job Description NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time … conferences, experimentation and participating in our knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions More ❯

and automate processes. You will 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 time, and make better decisions. … deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing models over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Knowledge … of open source datasets and benchmarks in NLP/Computer Vision Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/implementing pipelines using More ❯

day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are changing how we work and … degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion More ❯

implementation of artificial intelligence solutions to solve complex business problems in the healthcare sector. The ideal candidate will have a strong understanding of AI principles, machine learning algorithms, and natural language processing. Responsibilities: Develop and implement AI solutions to meet business needs Work with data scientists to gather and analyze data Train and evaluate machine learning models Design … and develop natural language processing systems Integrate AI solutions with existing systems Monitor and maintain AI systems Stay up-to-date on the latest AI trends and technologies Job details: Full-time, completely remote 1 year contract, with possibility for extension Compensation based on Experience Qualifications: Master's degree in computer science, artificial intelligence, or a related … field 5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Engineering, and Research Industries IT Services and More ❯

product challenges. Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to … accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning pre-trained … models such as BERT, GPT, or similar transformer-based architectures for domain-specific tasks in the NLP space. Experience in integrating Large Language Models (LLMs) into applications, with a focus on enabling structured responses, such as through APIs or with purpose-built LLMs. Knowledge of prompt engineering techniques, including designing effective prompts for different tasks, optimizing input/output More ❯

a fast-paced, dynamic environment. Strong communication and collaboration skills. Preferred Skills: Familiarity with big data technologies (e.g., Hadoop, Spark). Experience in natural language processing (NLP). Familiarity with big data technologies and data engineering. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. Certification in cloud architecture or AI/ML is a More ❯

is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and … areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You … with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose More ❯

innovative product set to disrupt the insurance market. We are looking for candidates with a proven track record in the design and deployment of LLMs for applications within the NLP space, as well as established experience collaborating with product managers, developers, and fellow data scientists within a product-led SaaS environment. What will you be doing? Working within a dynamic … product challenges. Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to … accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning pre-trained More ❯

news aggregation services. The right candidate will: • Be highly numerate and analytical, backed by a mathematics, computer science, stats or physics degree (or equivalent experience) • Have excellent high-level language coding skills in any of e.g. Perl, Python, C/C++, Go, Rust, NodeJS, Java and a language-agnostic attitude • Have experience of Perl, Python 3 and NodeJS …/React • Apache web server software and related modules • Cloud platforms and concepts (AWS, Google Cloud, Azure) • Setup, testing and administration of CI/CD pipelines • Networking and firewalling • Natural language processing Responsibilities Leading, driving and motivating the development team • Allocating work to individual developers, keeping a focus on business priorities and how they further the company … stack. Desired skills: The right candidate will: • Be highly numerate and analytical, backed by a mathematics, computer science, stats or physics degree (or equivalent experience) • Have excellent high-level language coding skills in any of e.g. Perl, Python, C/C++, Go, Rust, NodeJS, Java and a language-agnostic attitude • Have experience of Perl, Python 3 and NodeJS More ❯

AI capabilities into daily productivity tools such as calendars, task managers, and communication apps. Create architectural blueprints for new AI features and services, considering factors such as data flow, processing requirements, and user experience. Collaborate with AI researchers, data scientists, and software engineers to translate cutting-edge AI research into practical, user-friendly applications. Establish best practices, coding standards … architecture (including 5+ years in AI/ML systems). Proven track record of designing and implementing large-scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modelling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong programming skills (Python, Java … big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural language processing libraries such as NLTK, spaCy, or Hugging Face Transformers. Familiarity with time-series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow More ❯

calibre Quant team within a discreet fund based in the UAE, operating at the intersection of Quantitative Research and Artificial Intelligence. This role is dedicated to leveraging data and language models to support the research, development, and implementation of systematic investment strategies. The successful candidate will combine strong technical skills with a solid understanding of financial markets and a … and maintain automated data pipelines for ingestion, tagging, cleansing, and integration of financial text and structured data. Oversee and enhance quality control processes for financial content generated by large language models (LLMs), ensuring coherence, accuracy, and logical consistency. Collaborate with quant researchers and engineers to improve the performance, accuracy, and reliability of AI-driven models. Conduct descriptive and exploratory … problem-solving skills and the ability to communicate complex ideas clearly to both technical and non-technical audiences. Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, or other NLP methodologies. Strong curiosity and motivation to explore new technologies and methodologies in data science and AI Strong understanding of macroeconomics, financial markets, and investment principles. #J-18808-Ljbffr More ❯

facilitate access to ESG data and analysis for systems and researchers. Proprietary sustainability analysis for asset management, asset owner, Plc or client requests Development of innovative tools building on natural language processing/AI Ensure cohesion across M&G Group sustainability data for Plc and Asset Owner entities Support the wider Stewardship & Sustainability agenda in terms of … experience in applying sophisticated analytics and quantitative concepts to support investment needs and develop new solutions Deep understanding of quantitative techniques and methods, statistics, and econometrics. Prior experience in natural language processing or other AI methods a plus Proven track record in hands-on development of data analytics tools Assist research teams in developing new models and More ❯

skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer More ❯

the clock, and much more. The Team The Vonage AI team is at the forefront of innovation, building AI/ML-powered APIs and applications that redefine audio, text processing, and conversational AI experiences. We don’t just enhance existing products—we push the boundaries of what's possible, integrating cutting-edge AI to transform our CPaaS, UCaaS, and … Stay ahead of industry trends and AI advancements to shape forward-thinking product roadmaps and strategies. What you will bring: Deep expertise in AI concepts, machine learning algorithms, and natural language processing, with a passion for leveraging AI to create impactful products. A proven history of launching and scaling AI-driven products in fast-paced, dynamic environments. More ❯

large datasets. Experience working collaboratively within multidisciplinary data science teams and delivering results timely. Technical knowledge in at least one domain: statistics/mathematical statistics, machine learning, deep learning, natural language processing, Bayesian inference. If you want to find out more about this opportunity, please read our Job Description and Person Specification! Please note: The job description More ❯

integrating PolyAI into their daily customer service workflows. We are looking for a Senior Research Scientist to join our world-class team and lead cutting-edge work on large language model (LLM) post-training. This is not just about applying standard fine-tuning techniques - it's about building the future of dialogue systems with novel approaches to reasoning, reinforcement … teams to ensure responsible use of data and models. Stay current with academic and industry advances in LLMs, ASR, TTS, RLHF, and multimodal learning. Requirements: PhD in Machine Learning, Natural Language Processing, Computer Science, or a related field. 5+ years of hands-on experience in deep learning. Proven track record of research innovation, including published work or More ❯

Science or equivalent Data Science-related experience. You and your role As a Senior Data Scientist, you will be working on advanced analytics, including machine learning, network analytics, and natural language processing, using Python and SQL along with coding best practices to develop extensible and reusable codebases. You'll also be responsible for the capability development of More ❯

modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute More ❯

a course from a trusted source such as Oracle Corporation or Microsoft would be a bonus. Experience: Experience in applying Artificial Intelligence in practical systems Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy – at least three or more) Experience in Data mining, Data warehousing, ETL Experience in … Ltd. Is an equal opportunities employer. Job Type: Full-time Salary: £23,000.00-£30,000.00 per year Benefits: Company pension Sick pay Schedule: 8 hour shift Monday to Friday Language: English (preferred) Work Location: In person #J-18808-Ljbffr More ❯

skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer More ❯

Climate Policy Radar’s platform, which enables searching through half a million pages documenting climate action, by government, worldwide. Harnessing data science and AI, and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. This serves to enhance accountability, and promote data democratisation, transforming our search engine into a More ❯

high-calibre Quant team within a discreet fund based in the UAE, operating at the intersection of Quantitative Research and Artificial Intelligence. This role focuses on leveraging data and language models to support research, development, and implementation of systematic investment strategies. The successful candidate will have strong technical skills, a solid understanding of financial markets, and a passion for … and maintain automated data pipelines for ingestion, tagging, cleansing, and integration of financial text and structured data. Oversee and improve quality control processes for financial content generated by large language models (LLMs), ensuring coherence, accuracy, and logical consistency. Collaborate with quant researchers and engineers to enhance model performance, accuracy, and reliability. Conduct analysis to uncover patterns, trends, and applications … modeling. Ability to design and maintain scalable data pipelines. Excellent problem-solving skills and clear communication of complex ideas. Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, or NLP methodologies. Curiosity and motivation to explore new data science and AI technologies. Understanding of macroeconomics, financial markets, and investment principles. #J-18808-Ljbffr More ❯

global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks. Responsibilities: Contributing by processing … analyzing, and synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills in both prototyping and developing individual solutions but also implementation and integration in a production environment. Desired Skills: A university degree in Mathematics … Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real More ❯

build the most advanced language model in the industry and revolutionize company interactions with AI. We are looking for a creative problem solver with a deep understanding of NLP and ML technologies to help us develop powerful AI applications. As an AI engineer at Writer, you will play a key role in developing and deploying cutting-edge generative AI More ❯

data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc), state-of-the-art research area (e.g. NLP, Transfer Learning etc) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc) Understanding … of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes Be Customer Focused - constantly improving our customers' experience I listen to my customers I use available data to help make decisions Be Human - acting with humanity and More ❯