26 to 50 of 254 Natural Language Processing Jobs in London

about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical … study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement More ❯

about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical … study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement More ❯

Experience with SQL and working with large-scale databases. Familiarity with data visualisation tools (e.g., Power BI, Tableau, or Matplotlib). Exposure to natural language processing (NLP) or geospatial analysis is advantageous. SC clearance or the ability to obtain it (UK residency for at least 5 years is required). What We Offer Competitive salary and benefits More ❯

environments. Use Git, CI/CD tools, and containerization (e.g., Docker) to maintain codebase quality. Applied AI Domains Work on projects that involve Natural Language Processing (NLP), Computer Vision, Generative AI, or Recommendation Systems. Support annotation, feature engineering, and augmentation tasks where necessary. Documentation & Collaboration Write clear, well-organized documentation for code, models, datasets, and project workflows. More ❯

will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will … scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are … looking for candidate with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. This Senior Applied Scientist should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound More ❯

organisation is looking to recruit a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in More ❯

Role Purpose This is a blended role within the AI Centre of Excellence, mainly focusing on the development and engineering of solutions leveraging Large Language Models (LLMs). The key purpose of the role is to design, implement, and maintain customised LLM solutions that deliver measurable business value. Working within the central AI COE team the successful candidate will … technical discussions and knowledge-sharing forums within the organisation Knowledge, experience, skills and abilities Technical In depth knowledge of foundational AI concepts, including Natural Language Processing (NLP), LLMs, and transformer-based architectures Proficiency in one or more programming languages including Python and Java/Typescript, with a focus on AI libraries such as PyTorch or TensorFlow Understanding More ❯

technologies. Professional experience in testing and launching software products, as well as software design and architecture. Experience with different programming languages and a good grasp of at least one language, such as Python. … Customer focus with the right balance between outcome delivery and technical excellence. Ability to apply technical skills and know-how to solving real-world business problems. Good understanding of NLP processing. Proficiency in the English language. Preferred Qualifications A background or strong understanding of the retail sector, logistics, and/or e-commerce. Recent professional software development experience in recommender … degree in Engineering, Computer Science, Mathematics, or a related technical field? * Select... Do you have recent software development experience in search technologies? * Select... Do you have good understanding of NLP (natural language processing)? * Select... #J-18808-Ljbffr More ❯

in order to link them to disease phenotypes Work with knowledge graphs to improve discovery of novel disease mechanisms Advance the use of natural language processing (NLP) tools to improve understanding of diseases and therapeutic targets Use computational biology, bioinformatics and network biology to answer biological questions Requirements : You must currently be at university and will be More ❯

and the first role they are looking to hire is a Senior LLM & Generative AI Engineer. Description Work on emerging GenAI projects Design and Develop state of the art language models Develop proof of concepts Explore Retrieval Augmented Generation (RAG) methods Solve industry relevant problems Design and implement artificial intelligence systems and applications that can simulate human intelligence processes … trends and advancements in the Technology & Telecoms industry. Participate in agile development processes, including sprint planning and retrospectives. Profile Must haves: Software Engineering background in C++, Python or similar NLP Tasks (Natural Language Processing) Experience with LLMs (Large Language Models) Hands on experience with RAG techniques (Retrieval Augmented Generation) Generative AI Job Offer Private Medical Bonus More ❯

and the first role they are looking to hire is a Senior LLM & Generative AI Engineer. Description Work on emerging GenAI projects Design and Develop state of the art language models Develop proof of concepts Explore Retrieval Augmented Generation (RAG) methods Solve industry relevant problems Design and implement artificial intelligence systems and applications that can simulate human intelligence processes … trends and advancements in the Technology & Telecoms industry. Participate in agile development processes, including sprint planning and retrospectives. Profile Must haves: Software Engineering background in C++, Python or similar NLP Tasks (Natural Language Processing) Experience with LLMs (Large Language Models) Hands on experience with RAG techniques (Retrieval Augmented Generation) Generative AI Job Offer Private Medical Bonus More ❯

or applied AI solutions. A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM) Comfortable working with Python and Jupyter Notebooks Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud … Platform (GCP), and Microsoft Azure. Technical Skills Good to have: Expertise in any one framework (TensorFlow, Pytorch, Keras) Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) Experience with Transforms Architecture Design, specializing LLM (Zero/… Expertise in conversational system architecture Extensive knowledge on APIs & Integrations, Patterns. Extensive knowledge of big data technologies Knowledge on Statistical Methods OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION Graduate in Engineering OR masters in computer applications. Process Skills: General SDLC processes Understanding of utilizing Agile and Scrum software development More ❯

Scientist, you will be responsible for delivering client-ready healthcare-focused AI and data science projects. This role involves leading the technical delivery of specialist AI projects, including large language models, natural language processing, knowledge graphs, semantic data modelling and advanced analytics. You will support project scoping, technical planning and the development of innovative data solutions. More ❯

Are: We're looking for someone with: Proficiency in Python and strong software engineering skills. Experience in deploying and monitoring production-ready systems in the cloud. Knowledge of Large Language Models, natural language processing, and deep learning. A passion for creating AI products that enhance human capabilities. A collaborative spirit and the ability to communicate complex More ❯

technical background in data science Demonstratable experience developing & delivering data science strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable Current enhanced DV security clearance TO BE CONSIDERED.... Please either … LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENTIST KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL NETWORKS/CLOUD INFRASTRUCTURE/ More ❯

understanding of Agile development, continuous delivery, and lean team dynamics. People-first leadership style with a track record of mentoring and developing high-performing teams. Exposure to machine learning, NLP, or financial data products is highly desirable. Ability to operate in ambiguity, balancing rapid execution with strategic long-term thinking. About the Company Permutable AI is a fast-growing, deep … the worlds leading financial institutions - hedge funds, asset managers, investment banks, and commodity traders - with real-time insights that drive smarter, faster decision-making. Our platform leverages cutting-edge natural language processing and large language models to transform global news and unstructured data into structured, actionable intelligence across commodities, macroeconomics, currencies, and digital assets. Were building More ❯

encourages experimentation and autonomy, backed by global infrastructure and top-tier clients. The Role You’ll be embedded in a high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment, all while interfacing with … classification, regression, and clustering Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling Build predictive and propensity models for underwriting and claims Apply NLP and OCR for document classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What You’ll Bring Strong hands-on data science and ML … and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP techniques for document processing Domain experience in insurance (e.g., underwriting, claims) Ability to work in a fast-paced, client-facing environment Perks & Benefits Competitive base salary, up to More ❯

encourages experimentation and autonomy, backed by global infrastructure and top-tier clients. The Role You’ll be embedded in a high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment, all while interfacing with … classification, regression, and clustering Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling Build predictive and propensity models for underwriting and claims Apply NLP and OCR for document classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What You’ll Bring Strong hands-on data science and ML … and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP techniques for document processing Domain experience in insurance (e.g., underwriting, claims) Ability to work in a fast-paced, client-facing environment Perks & Benefits Competitive base salary, up to More ❯

the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. … programs that span across multiple catalog engineering teams. BASIC QUALIFICATIONS Bachelor's or Master degree in Engineering or related field Knowledge and experience in at least one modern programming language such as C, C++, Java, or Perl Experience building tools for automation (building, testing, releasing or monitoring) 1+ years of DevOps or SysOps in a large-scale software development … environment experience Strong debugging/troubleshooting skills PREFERRED QUALIFICATIONS Knowledge of and proficiency in the use of Python scripting language Experience on highly concurrent, high throughput systems and knowledge of complex distributed systems Knowledge of AWS services and concepts Experience of working and collaborating with people in different timezones and experience in handoff process. Experience in software development lifecycle. More ❯

new insights, enable analytics, gain efficiencies and automation. This role is based in an AI/ML team that is already working on projects involving Generative AI, Information Retrieval, NLP/NER/RE, document classification, and has won awards and recognition for its work. The team's future projects will be in diverse areas, such as regulatory, clinical, legal … Design and develop RAG based applications LLM fine-tuning, including preparation of training sets from internal data Agent-based applications Evaluating use-case specific LLMs AI/ML Engineering NLP: Named Entity Recognition across a variety of unstructured data Evaluating and training BERT-like models such as GLiNER, NuNER for NER tasks Analysing trade-offs between these models and LLMs … for NLP tasks Relationship Extraction: Evaluating different models for use-case specific RE, such as ATG Document and text Classification Data Engineering Designing and implementing data pipelines for model training and inference Building scalable data processing systems Optimizing data workflows and storage solutions Implementing robust ETL processes Evaluate and integrate new technologies and models Cross-team collaboration, identifying innovations More ❯

Principal Applied Scientist, Alexa Conversational Modelling Intelligence Job ID: Evi Technologies Limited You will be responsible for defining key research directions focusing on LLMs, adopting or inventing new NLP techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on … technical issues. Experience developing software in traditional programming languages (Python, Java, etc ). Excellent written and spoken communication skills. PREFERRED QUALIFICATIONS 10+ years of experience building and deploying innovative NLP solutions at scale. Expert level skills focusing on Large-language-Models. Demonstrated Experience in training LLMs through PT, SFT, and LHF backed by top-tier publications. Published research work … in academic conferences or industry circles in NLP top tier conferences. Experience delivering complex end-to-end global NLP solutions that run at very large scale. Experience working with real-world data sets and building scalable models from big data. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. More ❯

agile group of talented and experienced technologists and consultants. Role overview: We are looking for a Junior AI/ML Engineer with a passion for Deep Learning and Large Language Models (LLMs) to join our team. You will play a key role in developing AI-driven applications for the 5G O-RAN domain, contributing to the next generation of … mobile networks About the candidate: Degree-educated in AI, Computer Science or in a related field of studies (2.1 min grade) Strong foundation in Machine Learning, Deep Learning, and Natural Language Processing Basic understanding of Large Language Models (LLMs) and their practical applications Familiarity with Docker, Kubernetes and containerised deployment Basic knowledge of mobile networks or More ❯

to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong More ❯

to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong More ❯

or related roles. Proficient in Python programming language. Solid understanding of machine learning algorithms, tools, and techniques, such as supervised. and unsupervised learning, transformer models, deep learning, computer vision, natural language processing, etc. Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Ability to work independently and collaboratively with multi-functional teams … ML tools such as Mlflow for model lifecycle management. Experience in building ML models in production using AWS ecosystem, especially ML related services such as SageMaker. Familiarity with large language models (LLM). Proficiency in multiple programming languages. Understanding of containerization technologies like Docker and orchestration tools like Airflow. We'vegot your back... We offer a range of total More ❯