501 to 525 of 1,370 Natural Language Processing Jobs in the UK

guidance Excellent communication skills for explaining technical concepts to non-technical audiences Experience in team leadership and mentoring within data science Proven ability to build and scale ML/NLP solutions across platforms Familiarity with Tableau, Power BI, and/or JavaScript-based visualization tools Passion for creativity, innovation, and a self-starting mindset Additional Information Saatchi & Saatchi has fantastic 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 ❯

storage, hosting, tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java More ❯

storage, hosting, tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java More ❯

storage, hosting, tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java More ❯

Research Scientist Intern, Large Language Models (PhD) We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning … four (24) weeks long and we have various start dates throughout the year. Responsibilities Perform research to advance the science and technology of intelligent machines. Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Analyze and improve efficiency, scalability, and stability of various deployed systems. Collaborate with researchers and cross-functional … Language Processing, Speech, Multimodal Reasoning & Retrieval. Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Experience with training deep neural networks for key NLP tasks. Experience with interpreting deep neural networks mechanistically, correlating their observable behavior with properties of model parameters and activations. Demonstrated software engineer experience via an internship, work experience, coding competitions More ❯

Research Scientist Intern, Large Language Models (PhD) We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning … four (24) weeks long and we have various start dates throughout the year. Responsibilities Perform research to advance the science and technology of intelligent machines. Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Analyze and improve efficiency, scalability, and stability of various deployed systems. Collaborate with researchers and cross-functional … Language Processing, Speech, Multimodal Reasoning & Retrieval. Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Experience with training deep neural networks for key NLP tasks. Experience with interpreting deep neural networks mechanistically, correlating their observable behavior with properties of model parameters and activations. Demonstrated software engineer experience via an internship, work experience, coding competitions More ❯

forefront of applied research in an industry setting? Thomson Reuters Labs in London is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. What does do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval … work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. About you You’re a fit for the role of Applied Scientist, NLP if your background includes: PhD in a relevant discipline or Master’s plus a comparable level of experience. At least one year industry experience building IR/NLP/ML … systems Solid software engineering skills for prototyping Outstanding communication and data analysis skills Preferred qualifications 5+ years practical experience building IR, ML or NLP systems in academia or industry Experience designing and implementing solutions with large language models Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar. Advanced proficiency in Python, Java, or Scala Experience writing More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Job Description NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites applications for a role focused on applying sophisticated machine learning methods to complex tasks such as natural … Research and explore new machine learning methods through independent study, industry conferences, experimentation, and knowledge sharing. Develop state-of-the-art machine learning models for real-world problems in NLP, speech recognition, analytics, time-series prediction, or recommendation systems. Collaborate with teams across Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production. Lead firm … wide initiatives by developing large-scale frameworks to accelerate machine learning application across various business areas. Required qualifications, capabilities, and skills Strong background in NLP, speech recognition, analytics, personalization/recommendation, with hands-on experience and understanding of machine learning and deep learning methods. PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science More ❯

Applied Scientist - GenAI, International Seller Growth Job ID: Services LLC Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the e-commerce space? If so, Amazon's … analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces. - Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems. - Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and … speech products or government speech projects) PREFERRED QUALIFICATIONS - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF - Experience in NLP, generative AI, LLM, or DL, RL. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our More ❯

large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product … RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi … agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication More ❯

with a deep-tech start-up seeking a highly skilled AI engineer to join their growing team. This role will focus on developing AI algorithms for Neural Network-based NLP and Computer Vision, while collaborating with institutional, academic, and commercial partners. The Role Develop and refine AI models for Natural Language Processing (NLP) and Computer Vision Adapt … Key Requirements Active SC Clearance is required PhD or MSc in Computer Science, Electrical Engineering, Mathematics, or a related field, or equivalent industry experience Expertise in Neural Network-based NLP and Computer Vision Strong programming skills in Python Proven ability to work collaboratively within a research team Strong analytical and problem-solving skills Preferred Skills PhD in Computer Vision, Speech …/Audio Processing, or AI Track record of contributions to AI research and thought leadership Background in classical computer vision techniques Experience in machine learning model development Strong written and verbal communication skills Ability to contribute to commercial project delivery and technical bid writing What’s on Offer Salary: £100,000 (Depending on experience) Highly flexible working environment Significant More ❯

with a deep-tech start-up seeking a highly skilled AI engineer to join their growing team. This role will focus on developing AI algorithms for Neural Network-based NLP and Computer Vision, while collaborating with institutional, academic, and commercial partners. The Role Develop and refine AI models for Natural Language Processing (NLP) and Computer Vision Adapt … Key Requirements Active SC Clearance is required PhD or MSc in Computer Science, Electrical Engineering, Mathematics, or a related field, or equivalent industry experience Expertise in Neural Network-based NLP and Computer Vision Strong programming skills in Python Proven ability to work collaboratively within a research team Strong analytical and problem-solving skills Preferred Skills PhD in Computer Vision, Speech …/Audio Processing, or AI Track record of contributions to AI research and thought leadership Background in classical computer vision techniques Experience in machine learning model development Strong written and verbal communication skills Ability to contribute to commercial project delivery and technical bid writing What's on Offer Salary: £100,000 (Depending on experience) Highly flexible working environment Significant More ❯

Intelligence, Data Science, or a related field. Proven experience delivering AI projects incorporating: Machine Learning (ML) : Implementing predictive analytics and risk assessment models. Natural Language Processing (NLP) : Enhancing data extraction and analysis from unstructured text. Robotic Process Automation (RPA) : Streamlining repetitive tasks and improving operational efficiency. AI-Driven Dashboards : Providing real-time insights and analytics through advanced … data visualization tools Deep understanding of AI technologies, including machine learning, natural language processing, and data analytics. Excellent leadership and team management abilities, with a passion for mentoring and developing talent. Exceptional communication and interpersonal skills, with the ability to articulate complex AI concepts to non-technical stakeholders. Why Protecht? At Protecht, a positive and super friendly More ❯

efforts - including state-of-the-art prompt engineering techniques - to support the construction of state-of-the-art AI models. The role involves developing, fine-tuning, and optimising large language models (LLMs) for corporate use cases, such as querying structured data or automating analytics workflows. Designing and refining prompts to improve LLM performance in structured data querying and other … business-specific applications Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability. Evaluating LLM performance, optimising hyperparameters, and ensuring alignment with business objectives. Develop and maintain data integration processes to ensure data … database design. Artificial Intelligence and Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit More ❯

efforts - including state-of-the-art prompt engineering techniques - to support the construction of state-of-the-art AI models. The role involves developing, fine-tuning, and optimising large language models (LLMs) for corporate use cases, such as querying structured data or automating analytics workflows. Designing and refining prompts to improve LLM performance in structured data querying and other … business-specific applications Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability. Evaluating LLM performance, optimising hyperparameters, and ensuring alignment with business objectives. Develop and maintain data integration processes to ensure data … database design. Artificial Intelligence and Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit More ❯

too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! Key job responsibilities Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy … categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models. Minimum Qualifications 2+ years of building models for business application experience. PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience. Experience … popular deep learning frameworks such as MxNet and Tensor Flow. Experience building machine learning models or developing algorithms for business application. Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects). Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms. Experience More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯