1 to 25 of 33 Permanent Natural Language Processing Jobs in England with Remote Work Options

you gain Experience working in a high-performance environment where collaboration and business impact are BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why more »

libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration more »

a modern cloud stack, including GCP and AWS, multiple Python, deep learning and cloud based tools and frameworks for machine learning, with specialisms in natural language processing, and React, GraphQL, Node, D3 for developing APIs and flexible front end product components and data visualisation. Your Role:We … to measure progress of data improvement initiatives Turn data governance principles, best practices, definitions, frameworks into practice and translate data governance terminology into a language that our stakeholders can relate and understand Lead, coordinate and be the Subject Matter Expert for data management topics such as Data Quality, Information more »

and areas for improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such more »

Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on more »

are valued. We offer world class learning and career development opportunities, while we celebrate an inclusive culture. The role As a Lead Data Scientist (NLP & GenAI) at Allianz Commercial, you will work closely with our team of data scientists, data engineers, ML engineers and analysts in designing and implementing solutions … from topic modelling and entity recognition to text generation, creating ontologies and conversational AI. This role requires strong technical skills, a solid foundation in NLP, and a passion for innovation and problem solving. Responsibilities Implement ML/GenAI architectural strategy and roadmap developed at enterprise level and adapt to the … vision of business stakeholders, ensuring it's in harmony with their strategic objectives. Research, design, and develop solutions using NLP models and algorithms to extract insights from unstructured text data. Collaborate closely with data engineers to pre-process and clean text data, ensuring data quality and compatibility with NLP models. 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 »

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 »

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 set to generate insights & product development directions. You’ll work with a talent team of data scientists who are pushing the boundaries of NLP in the Climate space. What you’ll be doing Our policy and data science teams curate and generate large and complex datasets which are rich more »

you gain… Experience working in a high-performance environment where collaboration and business impact are BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why more »

Python and NumPy experience You have experience with numerical optimisation problems, ideally forward-curve modelling with large data sets You're familiar with LLM, NLP and time-series data You have experience of collaborating with software engineers to deliver data products to market You have an academic record of achievement more »

They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these more »

to hear from you. You’ll be responsible for Development of a Conversational Recommendation System which utilises Large Language Models (LLMs) and other NLP technologies Deploying scalable and cost effective machine learning systems Evolving and maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs … machine learning lifecycle from research to deployment. This includes all things MLOps - model development, validation, deployment and monitoring Familiarity with state of the art NLP - text embeddings (representation learning), vector databases, large language models, machine translation, intent recognition, entity recognition, text classification etc Familiarity with recommendation engines - collaborative filtering more »

InsurTech scale-up on a contract basis! You’ll be working closely with Data Scientists and Software Engineers to develop and productionise a greenfield NLP product. Experience required (min. 5 years): NLP MLOps with Cloud (AWS w/SageMaker preferred, other clouds also considered) End-to-end ML experience Other more »

technical, management, and subject matter experts to deliver products or platform capabilities Experience with applying machine learning solutions to real world problems, ideally around natural language processing Proven track record of building and leading high-performance technology teams, and an ability to attract and retain talented individuals more »

libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration more »

Senior Recruitment Consultant - AI & Data (Europe or North America) Excellent Salaries Commission Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning We are a leading recruitment agency with an established AI department that has been running for more »

Senior Recruitment Consultant - AI & Data (Europe or North America) Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning ‍ We are a leading recruitment agency with an established AI department that has been 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 »

Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience Previous experience working with Marketing Ecosystems Hybrid working with offices in Central London - 3x a week in the office. Day rate up more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »

Title: Senior MLOps 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 technologies 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 »

you be doing Design and implement robust conversational AI models using AWS ML services including Amazon Lex and Amazon Comprehend Develop and refine custom NLP models to enhance understanding generation and translation of human language in a variety of contexts Lead projects to build GenAI applications utilizing generative models … communicator able to talk to different audiences effectively and share your knowledge Experience of requirements analysis and functional design Proficient with Python Expertise in NLP and conversational AI technologies with hands on experience building and optimizing chatbots or virtual assistants Experience in AWS would be an added advantage You may more »