1 to 25 of 37 Natural Language Processing Jobs in London with Remote Work Options

advancements in legal technology, our client is a leading innovator in the integration of advanced data science and natural language processing (NLP) within the legal sector. Their mission is to revolutionize how legal professionals access and leverage critical information. Job Description: T he Research Engineer role within … enhance the client's product portfolio. Key Responsibilities: Collaborate with interdisciplinary teams to design, prototype, and refine solutions aligned with project objectives. Utilise large language models (LLMs) to develop data-driven solutions for complex legal information retrieval tasks. Stay abreast of the latest advancements in LLMs and data science … this role are invited to apply or email me thier CV at Desired Skills and Experience Data Science | Natural Language Processing (NLP) | Large Language Models (LLMs) | Legal Research Solutions | Innovation | Prototype Development | Interdisciplinary Collaboration | Data-Driven Tools | R&D Codebase Management | Client Engagement | Problem-Solving | Technical more »

delivering services related to one or more core Data Science/Machine Learning domains: • Advanced statistical modelling. • Machine learning/deep learning. • Computer vision. • Natural language processing. • Machine Learning Engineering. • Machine Learning Operations (MLOps). • Ethical AI. Working with a range of tools such as: • Data Science languages more »

transform and analyse data from a wide variety of corporate structured and unstructured sources, 3rd party providers and publicly available data. Leverage cloud data processing frameworks like Apache Spark, Databricks, or similar for handling, processing and analysing complex, high-volume data both structured and unstructured. Ability to script … Data Science Use Python or R, alongside SQL to analyse and model complex, high volume data. Develop and apply clustering, classification, regression, anomaly detection, natural language processing, or GenAI models to business use cases. Apply advanced analytics to business scenarios such as pricing, CLV (including acquisition and 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 »

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 »

Java, Python, Scala, Spark, and SQL. Capability in scripting, data extraction via APIs, and composing SQL queries. Familiarity with data mining, machine learning, and natural language processing is an advantage. Experience with Agile methodologies and participation in Scrum ceremonies. Expertise in Platform-as-a-Service components, serverless more »

of continuous self-improvement. Skills and experiences Must-have Skilled in deploying machine learning solutions to production. Skilled in key Machine Learning aspects: LLM, NLP, Computer Vision, Generative AI Practical experience with machine learning techniques for search and retrieval. Experience of Machine Learning Libraries - TensorFlow, PyTorch Strong communication skills, with more »

SOTA research in AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques more »

to expand your network while working with cutting-edge tools in the market including TensorFlow, LangChain, LlamaIndex, and working on the development of ML, NLP and GenAI solutions. The role is hybrid, based in central London (max 1-hour commute) and it is offering up to £110,000 + bonus 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 »

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 »

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 »

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 »

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 »

ll be working with the most sophisticated ML teams in the world working on some of the toughest ML problems in computer vision, robotics, natural language processing, and more. This specific role will be focusing more on W&B s engagement with Prospective customers who are evaluating more »

Building optimization tools using Python to facilitate counterparty risk management, including cash usage, balance sheet, liquidity, and regulatory capital What we re looking for: Natural language processing and sentiment analysis Attention based transformer architectures, e.g. Google s open-source BERT Experience in supporting machine learning models in … production Hands-on programming skills in Python or C++ Skills that will help you in the role: Experience with Large Language Models in a production setting Experience supporting AWS cloud based risk model systems, supporting runtimes using virtual and serveless hardware, deployment quantitative models to production Experience in development more »

machine learning algorithms. An understanding of data science and machine learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameter tuning, NLP, and utilising LLMs. An understanding of the importance of effective communication with clients and experience of relaying complex technical concepts to diverse audiences. Proficiency in more »

Title: Senior Machine Learning Engineer (NLP) Type: Contract Rate: £500-600 per day (outside IR35) Length: 6 months Location: London (Hybrid) We're working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products! You … will: Productionise NLP Pipelines: Deploy & manage NLP models (fraud detection, risk assessment) with a focus on NER. Leverage CI/CD & containers for seamless integration & scalability. Automate ML Workflows: Build robust MLOps pipelines to automate data ingestion, pre-processing, model training & serving for efficient NLP workflows. Champion NLP Expertise … Collaborate with data science teams, translate model requirements into operational considerations, & champion continuous improvement of NLP models. We're Looking For: Proven experience building and deploying NLP models, strong grasp of statistics, ML techniques, and proficiency in Python. MLOps & Cloud Infrastructure: A strong understanding of CI/CD pipelines, containerisation more »

of Docker and Kubernetes. Experience with workflow and orchestration tools such as Airflow, Dagster or equivalent. Experience in a Software Engineering role. Experience with NLP techniques and/or computer vision. What to expect next: Our interview process is fast and goes like this: You will have an initial call more »

system for the NHS during the COVID-19 pandemic , modelling 3D point cloud data to identify and measure assets for Network Rail , and using NLP to identify topics in market research . You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current … science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short … essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is more »

Skills : Experience either within the MRNA or Histology space Degree educated within a relative subject across STEM or Biology Machine Learning across LLM/NLP or Computer Vision Strong python engineering End o end machine learning pipeline experience Please get in touch to find out more! Thanks Kate more »

addition to Causaly s AI organisation. You will work alongside an interdisciplinary team of experts to build scalable and robust solutions to highly complex NLP problems that drive business impact. You will develop and implement cutting-edge machine learning algorithms to help us extract valuable insights from large biomedical datasets. … Please note we are unable to sponsor visas for this position. Responsibilities: Lead the development and optimization of machine learning models and algorithms for processing and extracting insights from scientific literature Collaborate with Research Engineers to experiment with new ideas, evaluate models, and improve performance Work with the engineering … as transformers/CNNs Excellent programming skills in Python and object-oriented paradigm Agile software development experience Preferred Qualifications Experience fine-tuning LLMs for NLP tasks in industry Experience in Biomedical data or computational sciences Experience in cloud platforms such as GCP or AWS Experience with MLOps/LLMOps frameworks more »

alongside high performing ML engineers using agile software development. Demonstrable ML proficiency with a deep understanding of how to utilise state of the art NLP and ML techniques. Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch. Extensive experience with Python and … through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance. Strong skills related to implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Expertise in graph machine learning (i.e. … scalability and performance of a potential solution. Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python. Experience with data manipulation and processing, such as SQL, Cypher or Pandas. A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own more »

join our expanding Genomics team, located in either London or Paris. Our team is primarily dedicated to applied research, with a strong focus on language models Our goal is to push the boundaries of genomics research by delivering valuable insights and breakthroughs that were previously unattainable. As a Machine … encompass contributing to our in-house machine-learning codebases and libraries. Your core tasks will involve designing, developing, and optimizing deep learning models, especially language models, with a primary emphasis on enhancing accuracy, efficiency, and scalability on large sequence datasets. You will be working on a daily basis with … requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom #J-18808-Ljbffr more »