1 to 25 of 47 Natural Language Processing Jobs in the UK excluding London

pipelines. Implement data quality metrics and dashboards for monitoring. Collaborate with data scientists, engineers, and cross-functional teams in an agile setting. Use modern NLP techniques to enrich data comprehension and processing. Ensure the efficiency, scalability, and dependability of data ingestion pipelines.Qualifications: Minimum 3 years of experience in developing data … with advanced ML elements. Degree in Computer Science, Data Science, Engineering, or related field. Proficient in Python, SQL, PySpark, and Databricks. Experience with modern NLP techniques and tools. Familiarity with Git for version control. Knowledge of the insurance sector is advantageous but not required.Skills and Competencies: Strong problem-solving abilities. more »

interactions and streamline communication processes. Develop predictive analytics models to forecast customer behavior and optimize collections strategies. Integrate natural language processing (NLP) capabilities to enhance search functionality and automate content generation. Implement AI-powered decision engines to suggest relevant products or services to customers. Lead the exploration … members, fostering a collaborative and productive work environment. Required Skills: Advanced proficiency in AI technologies, including machine learning, natural language processing (NLP), and predictive analytics. Strong knowledge of programming languages commonly used in AI development, such as Python, R, or TensorFlow. Experience with AI frameworks and libraries more »

language processing algorithms to structure the free text elements of the EHR (clinical notes, letters, reports etc). Development of these NLP models is the primary focus of our in-house AI team, in which this role sits. The AI Team are primarily responsible for developing and … Processing models that underpin Akrivia’s data structuring pipeline. The goal of this activity is to develop accurate, clinically valid, explainable, and scalable NLP models to extract new structured data from EHR free-text fields. The AI Team collaborate closely with the Research Team (to match the outputs of … our AI-derived data for their own research programs. The role would suit candidates with a strong interest in healthcare applications of AI and NLP, and/or explainable, transparent AI methods. Further details of the duties are provided below. Duties Lead and manage a team of AI scientists and more »

built upon a foundation of academic and proprietary research and harness the latest developments in AI, machine learning, Natural Language Processing (NLP), Large Language Models (LLM), and technologies built on advanced financial mathematics Your role: Keep the team organised by managing inboxes, calendars and key operational 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 »

SQL (any flavor) for analysis; Experienced in applying a broad range of data science techniques, including data manipulation, visualization, package development, machine learning algorithms, NLP, Shiny/Dash, deep learning, and reinforcement learning. Highly skilled in R package development, functional programming principles, documentation best practices, internal and external data management … unit tests, CI; f NLP, word stemming, topic modelling, word2vec, n-gram, text classification, word embeddings, sentiment modelling, tf–IDF, BERT. Azure Data Science Associate Certificate is desirable Curious and inquisitive and thoughtful Detail orientated and pragmatic approach to problem-solving Sense of responsibility and critical and constructive thinking Logical more »

challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Senior Data Scientist, you will work closely with … coding Detailed knowledge of modern deep learning concepts, including but not limited to Generative AI (GenAI) models, FCN, CNN, RNN, Autoencoders, Transformers, and Large Language Models (LLM) Familiarity with version control practices (Git), containers, MLOps Experience with at least one cloud platform Experience in formulating analytical problems into actionable more »

solutions. Proficiency with AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage more »

their team on a 6-month contract basis. You will have knowledge and experience in the following areas: OCR and lexical analysis techniques including NLP (spacy) and ML. AWS including: CDK Serverless (Lambda) S3 API Gateway Cloud Formation Aurora/Postgres Python/Typescript Stakeholder management Design and implementation of 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 »

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 »

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 »

the business. The role Leverage data to derive strategic insights Mentor and act as a lead for a team of data scientists Use LLMs, NLP, NLU etc to power real-time decision making The person A third level degree and significant experience in data science Strong skills in python, SQL more »

and innovation Work with internal tech teams to design solutions, work with other business leaders to influence outcomes The person Strong technical experience - python, NLP, ML-Ops, ML frameworks, algorithms, statistical techniques Experienced with cloud platforms, microservices and event driven architecture CI/CD tools, containerised platforms Strong leadership experience more »

brilliant data scientists, and alongside our superb data engineers, and data analysts. What will you be doing : Applying natural language processing (NLP) techniques (including applications of localised large language models - LLMs) to free text data. For example, what features can we construct from content provided by … the skills to evaluate solution suitability e.g., Silhouette Score. Confident in the skills needed to deploy deep learning, ideally through Tensorflow, including transformer architectures. Natural language processing capabilities, including skills in sentiment analysis and using and localising large language models (transformers), ideally through the Hugging Face more »

About the Opportunity We’re a UK-based deep tech start-up seeking an NLP focused AI Engineer to join our enthusiastic and rapidly growing team. Ideally, you’ll have 3+ years industry experience working with Natural Language Processing on a wide range of challenges in a … and scaling natural language model systems, data enhancement, collaboration with the wider AI team, and keeping ahead of the latest trends in NLP and ML. The ideal candidate will have a number of years’ experience with LLMs, utilising them as part of a natural language model … novel AI products into offline environments Minimum Qualifications & Experience Strong experience deploying LLM’s for searching pipelines Up to date with current LLM and NLP research Experience designing, developing and deploying production machine learning pipelines Strong background in NLP techniques BS, MS or Ph.D. degree in Computer Science or related more »

Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »

Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »

Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »

Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »

be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model 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 »

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 »

high-quality standards, drive continuous improvement initiatives, and address any customer-related challenges. Desirable Technical Experience: Proficiency in Java, Kotlin, or Python. Experience with NLP, ML-Ops, and data pipelines. Familiarity with ML frameworks such as TensorFlow or PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience 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 »