1 to 25 of 72 Permanent Natural Language Processing Jobs in London

artificial intelligence, or a related field. Proven experience as an AI Consultant or in a similar role, with a deep understanding of machine learning, natural language processing, and other AI disciplines. Hands-on experience with AI tools, frameworks, and platforms, with the ability to develop and implement more »

Demonstratable experience developing & delivering Machine Learning 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 TO BE CONSIDERED…. Please … look forward to hearing from you. MACHINE LEARNING ENGINEER 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 more »

team in a highly-reputable consulting organisation who have already established themselves as a leader in providing AI and leading-edge software solutions including Natural Language Processing and Computer Vision across the public sector. The company has a strong people culture and is highly supportive of career … excellent benefits package. The company's business is largely focused on public-sector, government clients. Key Requirements m ust have strong Python experience ofNatural Language Processing and Computer Vision is essential experience ofdeep learning frameworks e.g., PyTorch, TensorFlow, Keras strong knowledge of web application frameworks e.g. FastAPI, Node.js … experience ofNatural Language Processing and Computer Vision is essential experience with deploying and monitoring ML experience working with unstructured data (e.g. text, speech, image, video) familiarity with JavaScript an understanding of large language models being comfortable in client-facing activities Work Type Permanent, Full-time Work Location more »

for productization. Create and manage application code for evaluations on various benchmarks. Enhance developer productivity through process improvements and automation. Build and maintain data processing utilities for LLM training. Skills and Qualifications 8 years of experience in software engineering. 3 years of experience managing software engineering teams. Proficiency … in code review and technical problem-solving to support and unblock engineers. Experience with PyTorch or Python. Hands-on experience with LLMs, multimodal, and NLP applications is highly desirable. Proven people management or mentoring experience. Strong project management skills, including prioritization and cross-team communication. Experience in a startup environment more »

Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 Bonus Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering … analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning Requirements Bachelor's degree … Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Experience Managing/leading teams in DS AI/Python/Data more »

Company: InstaDeep Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Machine Learning , NLP , United Kingdom #J-18808-Ljbffr more »

with business and Datascience experts covering Business sectors including Energy & Utilities, Banking, Insurance, Healthcare, Defence, Technology, and others. AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics (For more information about our Data Science practice, visit more »

or computer vision systems in an industrial environment Experience with time-series data and correlation Understanding of multiple Machine Learning disciplines, such as Image Processing, Computer Vision, Signal Processing, Natural Language Processing, Pattern Recognition etc. Experience with Docker and Google Suite including Google Cloud Platform … Experience with DevOps tools such as experiment tracking, automation, dataset versioning, etc. Excellent data processing capabilities using tools such as Python, Excel, Google Suite About you: You have good interpersonal skills and are prepared to collaborate in a team to refine solutions Natural curiosity to explore unexplored Perseverance more »

Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in stakeholder management with effective communication skills. Technical capability of LLMS and NLP with proven experience. How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: LLMs … NLP, Machine Learning, Artificial Intelligence more »

years of experience looking to get stuck in with exciting greenfield work, on complex systems. The opportunity to work with - Machine learning, ETL Pipelines, Natural Language processing and Data Visualisation Essential skills: Java 17 - Spring boot& Spring JavaScript (Vue/Node) AWS/Azure Elastic search/ more »

of Excellence - Remote - United Kingdom Role Overview: The Senior Manager will lead the development and deployment of cutting-edge machine learning (ML) and large language model (LLM) solutions. These solutions will leverage structured and unstructured data to automate workflows and revolutionize service delivery. The role aims to transform the … performance metrics and KPIs aligned with business objectives. Essential Skills: Proven expertise in machine learning, deep learning, and natural language processing (NLP) techniques. Hands-on experience in building and deploying end-to-end ML solutions. Strong programming skills in Python and proficiency in ML frameworks (e.g., TensorFlow more »

the private sector to understand and advance effective climate policies and deploy climate finance. Harnessing data science and AI and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. We are deeply embedded in the global climate and AI … data partners in curating large libraries of climate-related documents. And building out our virtual research assistant roadmap ambition, including leveraging and productionising large language models to help researchers analyse data. Our ideal candidate will champion engineering excellence, open source, and delightful user experiences. We are looking for candidates more »

of ML methods with a focus on a specialization such as dexterous manipulation with reinforcement learning or imitation learning, computer vision for robotics, or natural language processing, 4+ years of experience in software engineering, with a focus on developing and deploying production-grade applications, Working experience with … or C++, Extensive knowledge of machine learning techniques and algorithms, including but not limited to supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing, Working knowledge of PyTorch and/or TensorFlow, Excellent problem-solving skills and the ability to work effectively in a … requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Natural Language Processing , NLP , Supervised Learning , United Kingdom , Unsupervised Learning #J-18808-Ljbffr more »

NLP Machine Learning Engineer Tech Company Permanent £60,000 £80,000 + benefits London (hybrid 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking … for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects … Key skills/experience required: A degree in STEM subject 2+ years industry experience Solid experience building ML models Industry experience focused on using NLP techniques to train models Experience developing ML solutions to Cloud (AWS ideally) Excellent grasp of Python/SQL + machine learning core libraries Some experience more »

medium to large features, design and implement reliable and scalable machine learning solutions, and collaborate with the Data Science team on projects related to NLP, Recommender Systems, and Predictive modeling. Develop and ship medium to large features independently or with minimal support from other team members Architect, design, and implement … reliable, scalable machine learning systems Assist the Data Science team in maintaining and extending projects related to NLP, Recommender Systems, and Predictive modelling Prototype and implement production-ready approaches based on recent research Provide technical mentorship to engineers and demonstrate strong expertise in your field Drive the delivery of high … teams of Data Engineers or Product Managers Experience with functional programming concepts and architecture Keywords: Machine Learning, Data Science, GenAI, Cloud, Python, Recommendation systems, NLP, Scikit-learn, Pandas, Luigi, Airflow, Docker, Git Education Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent Competencies Communicating Effectively Critical more »

domain experts to build the next generation of Moody s products and services. Develop production grade generative AI solutions, with a focus on large language models, to develop novel methods and techniques that can be applied to Moody s challenges. Collaborate with cross-functional teams to define objectives, identify … in Computer Science, Machine Learning, Computer Engineering, relevant technical field, or equivalent practical experience. Strong background in generative AI, with a focus on large language models and natural language processing. Proficiency in Python, and experience with machine learning frameworks such as PyTorch or TensorFlow. Knowledge of state … requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Natural Language Processing , NLP , Supervised Learning , United Kingdom , Unsupervised Learning #J-18808-Ljbffr more »

solve real world financial problems Build/run in-house developed and third party ML models in production Deep learning research (Graph Neural Networks) Natural language processing (Semantic search, Generative LLMs) Datapoint extraction Develop novel methods to facilitate financial research from unstructured data. We are a research … or experience in most of the following; Programming skills (python and java highly desirable) Solid theoretical background in Algebra, Statistics and Machine Learning Specific Natural language Processing knowledge including: Large language models training and fine-tuning RAG search pipelines. Working with Linux systems Service architectures, Docker more »

Machine Learning/Natural Language Processing Engineer Requirements A technical Bachelor s degree or equivalent practical experience developing software, Past experience relevant to the above responsibilities, Ability to write high-quality … well-tested code and high comfort level with Python, Experience building and tuning multi-modal ML systems, (Desirable) Master s degree in ML/NLP or related field, (Desirable) Experience or interest in working in the Trust and Safety industry, (Desirable) Familiarity with AWS primitives, Kubernetes, AWS Lambda What the … Extract features from content (text, images, videos), Build classification models to identify unsafe online content, Leverage off-the-shelf, pre-trained models (including large language models) and other heuristics where appropriate, Work with team to productionize models in a high throughput, low latency setting, Design industry-leading solutions informed more »

as building and training working versions of those models using open-source technologies. Key Responsibilities Working with our teams, your volunteer role includes: Use Natural Language Processing to research speech and text data and to build chatbot and recommender systems. Implement existing Large Language Models such … as GPT, LLaMA, LaMDA, etc. Refine Large Language Models via prompt engineering, fine-tuning, reinforcement learning, or transfer learning. Discover and formulate business problems and create data science solutions. Develop prototypes for new data product ideas. Design and deploy complex, optimized and large-scale machine learning algorithms and generative … equivalent (preferred) Experience in ML/AI. Knowledge in consumer electronics and the retail environment (preferred) Specialized practical experience in Generative AI Adept in Natural Language Processing tasks Prior experience in applying machine learning for customer experience use case Experience using Python and working with large scale more »

AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products more »

Spring, Springboot, Hibernate, Elasticsearch, RabbitMQ; Good understanding of OOP programming principles and design patterns; Broad knowledge of modern Artificial Intelligence techniques, Machine Learning algorithms, Natural Language Processing Big Data processing and programming experience Strong math background Perks and benefits First class training and experience in understanding more »

DALL-E, CLIP, or others. Familiarity with machine learning concepts and techniques such as supervised and unsupervised learning, classification, regression, clustering, anomaly detection, natural language processing, computer vision, and deep learning. Experience with data visualization and storytelling tools and techniques. Excellent communication, collaboration, stakeholder management, and problem more »

when required, demonstrating the ability to prioritise and organise Technical Skills Excellent working knowledge of advanced analytical techniques, including regression, segmentation, machine deep learning, natural language processing, text analytics, and time-series modelling Experience of a wide variety of technologies including: R or Python, SQL Understanding and more »

team Proficiency in programming languages relevant to AI such as Python, R or Java Deep and proven understanding of AI algorithms, GenAI, machine learning, natural language processing, and data analysis Experience with AI/ML frameworks and libraries e.g TensorFlow, PyTorch Knowledge of cloud platforms e.g AWS more »

be collaborating closely with the most advanced ML teams worldwide, tackling some of the most challenging ML issues in areas like computer vision, robotics, natural language processing, and beyond. This specific role will be centered on W&B s engagement with new customers who have recently adopted more »