226 to 250 of 286 Natural Language Processing Jobs in the UK

entire organization has the right tools and infrastructure for data collection, transformation, storage, and processing. Lead enterprise-wide programs in data deduplication, consolidation, and advanced analytics (e.g., machine learning, NLP).3. Data Quality and Stewardship Monitor and improve data accuracy, completeness, and reliability. Promote data stewardship across departments to ensure accountability.4. Analytics and Insights Enable advanced analytics, AI, and machine More ❯

Experience delivering AI/ML solutions Strong skills with Microsoft Azure, AI and Data Science. Hands-on with Python, SQL, and related tech. Experience with Generative AI, LLMs, and NLP frameworks. Implementing AI into enterprise systems at scale. A plus if you have Microsoft Copilot experience. Great communicator and natural leader—someone who can guide teams and influence clients. More ❯

Developing data initiatives in line with wider business strategy Engage with senior business leaders and technology management to design a Target Data Operating Model Develop the firms AI/NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimise existing technology to support/develop the ongoing data architecture roadmap in relation to business operations Enhance the … ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI/NLP/ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all departments at More ❯

Developing data initiatives in line with wider business strategy Engage with senior business leaders and technology management to design a Target Data Operating Model Develop the firms AI/NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimise existing technology to support/develop the ongoing data architecture roadmap in relation to business operations Enhance the … ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data – Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI/NLP/ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all departments at More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

advanced models and algorithms, addressing intricate business challenges. Transform business issues into machine-learning problems, using domain knowledge to define suitable approaches. Demonstrate expertise in various machine learning algorithms, NLP, steering the team towards judicious algorithm selection and implementation. Prepare raw data for modelling by executing comprehensive pre-processing techniques. Train, validate, and assess machine learning models to ensure … patterns to drive informed decision-making. About You Ph.D. or master’s degree in data science Proven track record of leading data science projects Strong expertise in data engineering, NLP, machine learning, statistical analysis, data mining, or data visualisation techniques. Strong experience with Git-based version control (GitHub/GitLab), including branching, merging, and collaborative code management. Proficiency in programming More ❯

and deploy generative models, and collaborate with developers, and domain experts to deliver AI capabilities that are both powerful and trustworthy. Responsibilities Design, train, and deploy Generative AI and NLP models for document understanding, summarization, and generation. Work with LLM APIs (e.g., OpenAI, Anthropic, Mistral) and open-source models (e.g., Llama, Falcon, Mixtral) for custom workflows. Build scalable pipelines and … and performance optimization. Collaborate cross-functionally to translate scientific and business requirements into AI-powered solutions. Qualifications 3–6 years of experience developing and deploying AI/ML or NLP systems, including Generative AI applications . Bachelor’s or Master’s degree in a STEM field (Computer Science, Data Science, Engineering, Mathematics, etc.). Strong proficiency in Python Hands-on … experience with LLMs , prompt design , RAG architectures , or fine-tuning foundation models . Understanding of MLOps practices (e.g., Docker, FastAPI, MLflow, cloud-based model deployment). Strong grasp of NLP techniques and evaluation methods for generative models. Excellent analytical and communication skills, with a focus on clarity and reliability in AI outputs. Experience with scientific, healthcare, or regulated data is More ❯

to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on … to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced … for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning More ❯

automation, digital workforce, data models, data transformation logic, and action flows using tools like Red Hat Ansible, HashiCorp Terraform, and IBM RNA Leverage AI/GenAI, AI Operations, and NLP to enhance automation Translate IT processes into automated solutions that optimize service delivery, generate documentation, and facilitate changes Understand the operational aspects of IT automation tools and technologies, including network … Degree Required technical and professional expertise Strong foundation in IT automation principles and tools (Red Hat Ansible, HashiCorp Terraform, IBM RNA) Exposure to AI/GenAI, AI Operations, and NLP concepts Experience with AWS data engineering and CI/CD practices Good understanding of AWS services Contribution to batch analytics, Python, and data engineering efforts Familiarity with Prometheus, Grafana, Nagios More ❯

reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. Develop cutting-edge software and algorithms for computer vision, image processing and deep learning models Have technical responsibility for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Essential Skills Masters … on implementation of state-of-the-art models. 3-D vision Developing with machine learning frameworks – Tensorflow/Pytorch Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI or similar) Experience in Android application development More ❯

Sports Tech - London AI Engineer needed to join a highly skilled Engineering & AI team in a rapidly growing sports tech company. Role and Responsibilities: Design, build, and deploy Large Language Model (LLM)-driven applications into production Develop retrieval-augmented generation (RAG) systems for real-time insights from performance and wearable data Optimise and fine-tune LLMs for efficiency, scalability … LlamaIndex Passionate about sports, health, or fitness – you’ll feel right at home here Bonus points if you: Have worked with unstructured data (text, documents, time-series) and applied NLP techniques Have experience scaling LLM systems using cloud platforms (AWS/GCP/Azure) and containerisation (Docker, Kubernetes) AI Engineer - Elite Sports Tech - London More ❯

Sports Tech - London AI Engineer needed to join a highly skilled Engineering & AI team in a rapidly growing sports tech company. Role and Responsibilities: Design, build, and deploy Large Language Model (LLM)-driven applications into production Develop retrieval-augmented generation (RAG) systems for real-time insights from performance and wearable data Optimise and fine-tune LLMs for efficiency, scalability … LlamaIndex Passionate about sports, health, or fitness – you’ll feel right at home here Bonus points if you: Have worked with unstructured data (text, documents, time-series) and applied NLP techniques Have experience scaling LLM systems using cloud platforms (AWS/GCP/Azure) and containerisation (Docker, Kubernetes) AI Engineer - Elite Sports Tech - London More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯

data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and … management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years of experience in applied machine learning More ❯