26 to 50 of 94 Permanent Natural Language Processing Jobs in England

related discipline; advanced degree preferred. Demonstrated success in designing and delivering AI solutions within the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud more »

to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public … for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g. … Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance more »

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 … supporting data partners in curating large libraries of climate-related documents. Building out our “virtual research assistant” roadmap ambition, including leveraging and productionising large language models to help researchers analyse data. You will be working in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL more »

Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms 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 »

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 »

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 »

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 »

collaboration, transparency, autonomy and continuous learning.Research @ Tractable Our team shapes the technical foundations used across all Tractable products, currently focused on auto insurance and natural disaster recovery. Our mission is to leverage the latest ML research to solve hard science problems necessary to transform the insurance industry (& more). … languages is a plus)Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning), information retrieval, natural language processing Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of more »

and automate opportunities. We are looking for someone with a keen interest in exploring new and emerging data science technologies, such as genial and natural language processing, to address real business problems. You will have the opportunity to unlock the potential of unstructured data to help automate … beneficial. Skills and experience we’re looking for: Solid programming language experience such as Python, R, SQL or similar. Understanding and application of NLP related techniques would be ideal. Analytical mindset and creative thinker/problem solver. Organised self-starter, with drive and commitment. Communication and interpersonal skills, including 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 structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered advantageous. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in designing and constructing solutions tailored for more »

leadership role in a startup or fast-paced environment. Proven experience in Python and machine learning. Deep expertise in AI technologies, including machine learning, natural language processing, computer vision, and data analytics. Strong background in software development, architecture, and systems design. Experience in building and leading diverse more »

in Computer Science, Engineering, or similar experience (e.g STEM)Strong knowledge of Machine Learning and/or Cloud Infrastructure areas, such as Deep Learning, Natural Language Processing, Computer Vision,or Kubernetes, Azure/GCP/AWS etc.What we offer you:The chance to be part of a more »

Engineering, or similar experienceDesirable:Experience working in a project-based (“matrix”) operating environmentStrong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc.Experience developing machine learning solutions for Autonomous Vehicles.What we offer youThe chance to be part of a truly more »

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 »

like regression and propensity models, time-series, ensemble methods and neural networks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data products and advanced ML solutions Translate complex data models to actionable insights End-to-end 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 »

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 »

Analytics and AI engineering chapter’s that meets regularly with a focus on priorities, delivery standards and capabilities across the value chain to improve processing of data and enhance our ability to make use of ML/AI in decision making of our processes. Coordinate alignment across the business 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 »

apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neural networks, NLP, generative AI desirable Experience working at an investment management company Experience with manging Agile delivery, preferably Kanban and Scrum. Ability to communicate across business and more »

Engineers and our Machine Learning Engineer. The person we’re looking for A strong foundation in machine learning theory and practical experience, particularly in NLP, is essential for success in this role. We are also looking to push the performance boundaries of our new product as far as possible, so … to tackle complex challenges with innovative solutions. You’ll be responsible for Develop, train and deploy machine learning and AI models, particularly focussing on NLP and language understanding tasks. Work extensively with PyTorch and other machine learning frameworks to build and iterate on models. Optimise and productionise models inside … with containerization technologies (e.g., Docker, ECR) and an understanding of GPU acceleration for deep learning. Expertise in a range of machine learning techniques, including: NLP techniques like text embeddings, large language models and entity & intent recognition. Reinforcement learning algorithms and applications Recommendation techniques and algorithms. Supervised and unsupervised machine more »

learning solutions in a professional setting. Passion for exploring new technologies and driving innovation in the field of machine learning. Experience with Speech Recognition, NLP, or other advanced ML applications is desirable. Benefits: Discretionary bonus (typically 7-10%). Flexibility with working in the office (1x week). Free breakfast more »