26 to 50 of 168 Natural Language Processing Jobs in England

Position Overview We are looking for a Senior Machine Learning Engineer (Natural Language Processing) to join our team. You will be an early shaper of the design and architecture of the ML/AI technology at the core of our platform, and work closely with the founding … models across the entire data and engineering stack, working closely with a highly capable team Train, evaluate, and deploy models for intelligent document processing, web data parsing, classification, search, and matching Design and run experiments to explore new approaches, models, and data usage that improve our agents/LLMs ...

science fundamentals, including data structures, algorithms and software design Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working ...

member of the Query Enrichment team, you will help make Bloomberg’s GenAI capabilities smarter, faster, and more intuitive. Our work connects data science, natural language processing, and human judgment, enriching queries to ensure users receive the most accurate and relevant responses possible. We partner closely with … proficiency in Python (Pandas, NumPy, and data visualization libraries). Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models. Prior involvement with distributed data labeling operations. If indicated, please note that years of experience are a guide; we will consider applications from ...

experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications Hands‐on expertise with implementing … tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS Where You'll Be We offer you the flexibility ...

opportunity has become available working with a fast-growing start-up who are at the forefront of intelligent interaction for accounting, blending machine learning, natural language processing, and human-centred design to create autonomous systems that redefine engagement with technology. As the Full Stack Software Developer … Manage technical debt and system performance. Technical Role Requirements: Technical Requisites: Experience in backend, full-stack development. Familiarity with bot platforms, conversational AI, or NLP tooling. Agile delivery and sprint management skills. Proficiency in modern frontend technologies (HTML, CSS, Tailwind, JavaScript/TypeScript, Vue.js React or equivalent) Experience in backend ...

opportunity has become available working with a fast-growing start-up who are at the forefront of intelligent interaction for accounting, blending machine learning, natural language processing, and human-centred design to create autonomous systems that redefine engagement with technology. As the Full Stack Software Developer … culture of quality and continuous improvement. Role Requirements: Technical Requisites: Experience in backend or full-stack development. Familiarity with bot platforms, conversational AI, or NLP tooling. Agile delivery and sprint management skills. Proficiency in modern frontend technologies (HTML, CSS, Tailwind, JavaScript/TypeScript, Vue.js React or equivalent) Experience in backend ...

business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. ...

others. Proficient in benchmark analysis and characterization. Experience in GPGPU performance analysis. Great knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics. Strong programming skills in languages such as C++ and Python. Experience with frameworks like TensorFlow, PyTorch. Strong grasp ...

create intelligent systems for prediction, classification, recommendation, and decision support. Design, evaluate, and optimize deep learning architectures for applications such as computer vision, natural language processing, and speech analytics. Collaborate with data scientists, software engineers, and business stakeholders to deliver scalable and effective AI solutions. Guide ...

London Stock Exchange Group is looking for a Business Consultant specialized in AI and Natural Language Processing, based in London. In this full-time role, you will utilize your technical expertise to engage customers and present innovative solutions aimed at driving deal closure. Your proficiency in data ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

venture-backed, Series A technology business operating at the intersection of life sciences, data science and artificial intelligence. Their platform applies AI and natural language processing to unlock insights from vast volumes of scientific data, supporting more efficient and informed drug discovery. The organisation is founder ...

court pack analysis processes Lead the requirements gathering and specification for an AI-driven claims analysis tool Design and implement advanced machine learning and natural language processing models Develop and deploy a functional Minimum Viable Product (MVP) for automated court pack analysis Drive user training, change management ...

goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI com... CRWG1_UKTJ ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing xkybehq technology. As one of the fastest-growing AI com Please click on the apply button to read the full ...

production-grade AI systems that deliver measurable value—whether that’s automating property management workflows, creating decision-support tools for our teams, or embedding natural language and vision capabilities into our products. You’ll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from … gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities—such as voice processing, computer vision, and NLP—into customer-facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data ...

sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend ...

sources (streaming, batch, cloud, on‐premises) using Azure, AWS, and GCP services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend ...

LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong communication skills able to explain technical concepts to varied audiences Qualifications Bachelor's degree (Master's or PhD preferred) in Computer Science, AI, Data ...

best practices across all engineering workflows Intelligent Automation Drive enterprise automation using tools like Power Automate, Blue Prism, and Automation Anywhere Implement cognitive services (NLP, speech, vision) to enhance digital workflows Lead process mining and optimisation initiatives (e.g. Celonis) Analytics & Decision Intelligence Deliver data-driven insights through advanced analytics ...

platforms or trading ERP systems . Hands-on experience with platforms such as Azure ML Studio, Palantir Foundry, or Databricks Mosaic . Familiarity with NLP, LLM deployment, agent-based AI (MCP, A2A, N8N), and advanced RAG architectures . Roles and Responsibilities: Lead the end‐to‐end development, deployment, and delivery ...

analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit ...

conceptualize business problems and solve them through data science solutions. Proven knowledge of AI techniques such as Bayesian methods, Clustering, Ensemble tree models, NLP, etc., with an excellent grasp of statistical concepts and methods. Strong passion for solving problems and finding patterns and insights within structured and unstructured data. Industry ...