426 to 450 of 1,548 Natural Language Processing Jobs in the UK

Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and regression. Strong programming and modelling skills using SQL and Python required, working with large volumes of complex data. Expert in building and leveraging stakeholder relationships, in order to More ❯

Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and regression. Strong programming and modelling skills using SQL and Python required, working with large volumes of complex data. Expert in building and leveraging stakeholder relationships, in order to More ❯

Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and regression. Strong programming and modelling skills using SQL and Python required, working with large volumes of complex data. Expert in building and leveraging stakeholder relationships, in order to More ❯

inspiring technical teams, ensuring quality and timely delivery. Authoring thought leadership and representing the company at key events. What You'll Bring Strong background in ML, GenAI, deep learning, NLP, computer vision, and related fields. Experience across cloud platforms (AWS, Azure, GCP), with DevOps/ML Ops tools (e.g., Terraform, Docker, Kubernetes). Expertise with data science platforms like Databricks More ❯

England, United Kingdom 2 days ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 weeks ago Data Scientist – NLP, LLMs, & Prompt Engineering London, England, United Kingdom 11 months ago London, England, United Kingdom 1 month ago London, England, United Kingdom 3 days ago London Area, United Kingdom 13 minutes More ❯

Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and regression. Strong programming and modelling skills using SQL and Python required, working with large volumes of complex data. Expert in building and leveraging stakeholder relationships, in order to More ❯

ML engineering. Proven track record in building and leading teams of experienced ML engineers/scientists. Solid understanding of the fundamentals of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms. Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.). Ability to understand More ❯

and verbal communication skills. Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management, and operations. PREFERRED QUALIFICATIONS Master's degree with specialization in ML, NLP, or Computer Vision preferred. 3+ years relevant work experience in a related field (project management, customer advocate, product owner, engineering, business analysis). Diverse experience will be favored e.g. a More ❯

scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling More ❯

scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling More ❯

scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling More ❯

scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling More ❯

working in cross-functional environments, across our offices in Manchester, Leeds, Birmingham, and London. Duties What your days will look like: Solution Development: Design, develop, and scale AI and NLP solutions addressing specific business needs, understanding requirements, assessing feasibility, selecting techniques, and creating scalable solutions. AI Strategy: Contribute to AI strategy by identifying opportunities for leveraging AI to innovate, improve More ❯

data stores to support our applications. Own complete life cycle of application databases for a product, from user management, DDL, permissions, performance tuning, and backups Collaborate with data scientists, NLP engineers, clinical annotators, and product managers to build and maintain roadmap, and implement best practices. Create and maintain application documentation to enable other engineers and data scientists to utilize the More ❯

administration, Azure development, and/or DevOps processes. Preferred Skills and Experience Proactive incident management with Azure-based troubleshooting. Python/Go/R. Understanding of generative AI, LLMs, NLP, and machine learning frameworks (TensorFlow, PyTorch, Hugging Face, etc.). Hands on experience in developing and implementing AI and Data cloud solutions. Education and Professional Skills Relevant Professional qualifications, such More ❯

ML engineering. Proven track record in building and leading teams of experienced ML engineers/scientists. Solid understanding of the fundamentals of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms. Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.). Ability to understand More ❯

full development lifecycle, from experimentation and evaluation to production deployment. Comfort with ambiguity, and the ability to shape early-stage product ideas in fast-evolving domains. Strong foundation in NLP and GenAI, including experience with Transformers, LLMs, RAG (retrieval augmented generation) pipelines, agents, and model fine-tuning. Familiarity with search and recommendation systems, and how to build ML solutions that More ❯

administration, Azure development, and/or DevOps processes. Preferred Skills and Experience Proactive incident management with Azure-based troubleshooting. Python/Go/R. Understanding of generative AI, LLMs, NLP, and machine learning frameworks (TensorFlow, PyTorch, Hugging Face, etc.). Hands on experience in developing and implementing AI and Data cloud solutions. Education and Professional Skills Relevant Professional qualifications, such More ❯

owners and marketing performance managers. Experience in Python and SQL. Experience with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform. Deep understanding of Generative AI, NLP, and MLOps concepts. Analytical, flexible, independent, and a strong communicator. WE OFFER: A flexible, hybrid working policy (2 days from the office, depending on location). An excellent salary based More ❯

statistics A solid grasp of 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 needed as a fundamental skill More ❯

Fluent in SQL (any flavour) for analysis; DBA experience is beneficial Experienced in applying a broad range of data science techniques, including data visualisation, package development, machine learning algorithms, NLP, Shiny/Dash, optimisation, deep learning, reinforcement learning Highly skilled in at least 2 categories from the above from implementing solutions in business processes and systems Daily use of git More ❯

Fluent in SQL (any flavour) for analysis; DBA experience is beneficial Experienced in applying a broad range of data science techniques, including data visualisation, package development, machine learning algorithms, NLP, Shiny/Dash, optimisation, deep learning, reinforcement learning Highly skilled in at least 2 categories from the above from implementing solutions in business processes and systems Daily use of git More ❯

technical work towards problems that were previously unknown or poorly understood. Driving change at the pillar and chapter level that affects multiple squads. Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state-of-the-art techniques and communicating the team’s successes and learnings at the company level & beyond. Mentoring & advising colleagues on their choices More ❯

Fluent in SQL (any flavour) for analysis; DBA experience is beneficial Experienced in applying a broad range of data science techniques, including data visualisation, package development, machine learning algorithms, NLP, Shiny/Dash, optimisation, deep learning, reinforcement learning Highly skilled in at least 2 categories from the above from implementing solutions in business processes and systems Daily use of git More ❯

Join to apply for the Research Scientist/Engineer (CBG Contractor) – LLMs & NLP role at Huawei Technologies Research & Development (UK) Ltd 1 year ago Be among the first 25 applicants Join to apply for the Research Scientist/Engineer (CBG Contractor) – LLMs & NLP role at Huawei Technologies Research & Development (UK) Ltd About Huawei Research And Development UK Limited Founded in … to join us and drive your career forward. Job Summary Do you want to work on cutting-edge Large Language Models (LLMs), Natural Language Processing (NLP), Knowledge Graphs (KGs), and Deep Learning (DL) research and build products that will impact millions of users across the globe? The Huawei Consumer Cloud service (CBG Cloud) team is seeking … highly skilled and motivated Research Scientists/Engineers with expertise in LLMs, NLP, Knowledge Graphs and Agents. In this role, you will bring both academic and industrial research knowledge to help build LLMs-driven algorithms or frameworks for diverse content understanding and generation tasks, such as KGs construction and completion, LLMs as agents, information extraction for narrative understanding (e.g. novels More ❯