1 to 25 of 361 Natural Language Processing Jobs in England

has been evolving since the 1950s and is now utilized by some of the most innovative companies worldwide. It is an area I find fascinating. While some aspects of NLP may seem straightforward to a Data Scientist, they can be quite complex and impressive to others trying to understand the capabilities of modern computers. I do not claim to be … an NLP expert myself, but I enjoy working with clients who are, and I am eager to see how they are applying NLP and the exciting possibilities it offers. Currently, my client is seeking someone with a deep technical knowledge and passion for NLP. They are an innovative start-up based in London, focusing on NLP, machine learning, and text … Skills required: Computer Science background Algorithm implementation Machine learning expertise Proficiency in Go, C, C++, Redis Experience with multi-language text processing How to apply: Please mention NLP People as a source when applying. Apply here Tags: Industry , Machine Learning , Natural Language Processing , NLP , United Kingdom More ❯

segmentation consultancy. We use data, insights, and proprietary technology to create customer-centric strategies that drive real business impact. We have a long history of innovation in machine learning, natural language processing, and generative AI. About STRAT7 We are part of STRAT7, a global strategic insight and customer analytics group. STRAT7 specializes in customer-centric growth, helping … volume of work, while AI and analysis of unstructured data are our fastest-growing areas. We seek a Senior Data Scientist skilled in cluster analysis, preferably with knowledge of natural language processing, to consult on our specialized projects involving advising, designing, conducting, and leading survey analytics projects. This role offers an exciting opportunity for someone eager to … etc. Beneficial Skills Experience with conjoint analysis and other pricing methods. Knowledge of GDPR and data compliance. Experience working with third-party data vendors and APIs. Some familiarity with NLP libraries. Other Information At STRAT7 Bonamy Finch, we foster a culture of excellence, collaboration, and mutual trust. We offer flexible, hybrid working options, a comprehensive benefits package, and a supportive More ❯

Signal is looking for a specialist in Information Retrieval, Natural Language Processing or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to IPOs … of European technology companies"). We are building this technology using cutting-edge algorithms for different information processing tasks in collaboration with leading universities. The next steps in the business will focus on how allows users to discover new information by navigating through all our information and automatically generating actionable insight from it. The successful candidate will join our … people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning; natural language processing; and information retrieval. We also work in close collaboration with several universities and we encourage the publication of research results from the team in academic conferences. More ❯

helps our staff tackle violence in prisons. We regularly deliver insights that directly influences corporate, operational and policy decisions. Our projects span the data science spectrum including machine learning, natural language processing, automation, advanced visualisation and optimisation. What you'll do You will be leading a team of 1-2 data scientists, working within wider multidisciplinary teams … vouchers. Free membership to BCS, the Chartered Institute for IT. Some offices may have a subsidised onsite Gym. Person Specification Strong knowledge of data science (e.g. machine learning and natural language processing) and experience leading teams to deliver data science projects/products, ideally in cloud computing environments Strong programming knowledge and experience delivering projects using Python … be sent to candidates before the interview. Should we receive a high volume of applications, a pre-sift based on strong knowledge of data science (e.g. machine learning and natural language processing) and experience leading teams to deliver data science projects/products, ideally in cloud computing environments will be conducted before the sift. Should you be 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 ❯

proof-of-concept to beta-product phase. You will have the opportunity to learn new techniques and algorithms at the cutting edge of Natural Language Processing (NLP), specifically in compensating for Large Language Model limitations. You will also have the opportunity to innovate and contribute to algorithm development. Dr G.A.McHale, Technical Director, AI & Data Science About … the Team The team is led by someone with significant AI experience in bio-inspired architectures, reinforcement learning, expert systems, scheduling, meta-heuristics, robotics, and natural language processing (including LLMs). We have recruited an experienced scientific computing developer with a strong mathematics background in theoretical physics, responsible for distributed systems and GPU optimisation of AI algorithms. … by competence in other languages (e.g., C++ or Java). Experience in electronics or communications hardware is a plus. Experience in writing and filing patents is appreciated. Experience in NLP outside of LLMs is desirable but not mandatory. You should be highly motivated and willing to learn new skills as needed. Contract type Regular Worker type Employee What We Offer More ❯

personalized search and recommendation systems. As a Principal Scientist in MSAI, you will work in an exciting and fast-paced, collaborative environment. You'll bring deep expertise in large language models (LLMs), information retrieval, and machine learning to improve the quality and scalability of M365 Copilot.You'll partner closely with engineering and product teams to innovate, design and evaluate … Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking for expertise in … Natural Language Processing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must Excellent problem solving and More ❯

Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. - Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking for expertise in … Natural Language Processing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. - High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must - Excellent problem solving and … check upon hire/transfer and every two years thereafter. Preferred Qualifications: - PhD degree in Computer Science, Statistics, Mathematics, OR a related field. - Proven track record in training large language models and post-training large language models, using reinforcement learning or similar techniques - First-hand experience building agentic AI models using deep learning Microsoft is an equal opportunity More ❯

range of Artificial Intelligence (AI) and Machine Learning (ML) domains, with applications spanning defence, security, space, and commercial sectors. The capability's work covers areas such as reinforcement learning, natural language processing (including large language models), knowledge graphs and graph neural networks, as well as AI solutions for radio frequency, electronic warfare, radar, sonar, acoustics, image … e.g., Dstl, National Security, EPSRC). Desired Technical Expertise (one or more of the following): AI/ML for imagery analysis, including applications in remote sensing. Reinforcement learning techniques. Natural Language Processing and Large Language Models. Knowledge graphs and graph-based neural networks. AI/ML for RF and EW, radar, sonar, and acoustics. Autonomy and More ❯

optimizing AI-powered customer service solutions - Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning - Serverless development experience including complex integrations with Amazon Lex, Lambda More ❯

for a highly skilled Member of Technical Staff to lead the development of cutting-edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models … transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience. You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats. You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and … publishing processes. You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks. Your Responsibilities: Build autonomous scientific agents that can execute complex research workflows through natural language interaction-from protein structure analysis to experimental design. Architect end-to-end reasoning systems that integrate More ❯

unstructured multimodal information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and … experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models … for business application - Experience with natural language processing and/or processing of multi-modal data (e.g. images) PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience with training and evaluating LLMs Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

across all commercial teams in the business. Reporting to the Head of Data Science you will be leading the application of data science across the business including predictive modelling, NLP and content recommendation. We believe that data science can bring us a better understanding of our customers' needs, opportunities to improve their experience and a clearer view of what is … this role are: Extensive experience as a data scientist, with a track record of delivering projects in digital customer-facing environments Deep understanding of statistical modelling, machine learning and natural language processing Expertise in applying Generative AI to enhance traditional natural language processing tasks, prompt engineering, integrating LLMs into machine learning workflows Strong Python More ❯

an outstanding individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching … clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA … Infrastructure Requirements Degree in relevant field with 3+ years of industry experience Strong Technical Skills: Python, Production APIs, Infrastructure as Code, AWS or other Cloud provider Deep understanding of Natural Language Processing/Generative AI/Image Recognition Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. More ❯

search. We're looking for 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 on a specific project critical … our users around the world. Responsibilities Research, conceive, and develop software applications to extend and improve on Google's product offering. Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Collaborate on scalability issues involving access to massive amounts of data and information. Google is proud More ❯

search. We're looking for 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 on a specific project critical … search. We're looking for 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 on a specific project critical More ❯

search. We're looking for 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 on a specific project critical … search. We're looking for 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 on a specific project critical More ❯

matter expert on a wide range of ML techniques and optimizations. Provides in-depth knowledge of ML algorithms, frameworks, and techniques. Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques. Conducts experiments using latest ML technologies, analyzing results, tuning models Provides has Hands on coding to bring the experimental results into production solutions by … Experience In The Python Programming Language Is Essential Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow. Experience … With Ray, MLFlow, And/or Other Distributed Training Frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker More ❯

matter expert on a wide range of ML techniques and optimizations. Provides in-depth knowledge of ML algorithms, frameworks, and techniques. Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques. Conducts experiments using latest ML technologies, analyzing results, tuning models Provides has Hands on coding to bring the experimental results into production solutions by … Experience in the Python programming language is essential Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow. Experience … with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker More ❯

As a Data Engineer with a focus on NLP, you will play a crucial role in the development of our initial platform. Your primary responsibilities will include designing, implementing, and optimizing data pipelines that support AI-driven call handling solutions. You will work collaboratively with cross-functional teams to enhance our platform's capabilities, ensuring it meets industry standards for … for others. You will: Develop and maintain scalable data architecture that supports natural language processing tasks. Implement data processing workflows to prepare text data for NLP applications, including text extraction, cleaning, and transformation. Collaborate with data scientists and software engineers to integrate machine learning models into our platform. Utilize AWS tools and services to enhance data … management and processing efficiency. Contribute to the documentation and technical specifications for the data infrastructure supporting the application. Key Requirements: Proven experience in data engineering, with a strong background in natural language processing. Proficiency in programming languages such as Python, SQL, or Java. Familiarity with cloud services, particularly AWS. Knowledge of machine learning frameworks and libraries. Strong More ❯

Experience managing complex analytical projects Understanding of sourcing processes and metrics Preferred Qualifications Experience with machine learning frameworks and AI implementation Knowledge of natural language processing (NLP) and large language models Python/R programming experience Six Sigma or PMP certification Skills & Competencies Strong analytical and problem-solving abilities Excellent project management skills Outstanding English written More ❯

such as model output. Continuous improvement : Stay up-to-date with the latest developments in AI and software engineering, and continuously improve our systems and processes. ️ Is this you? Language fundamentals : Proficient in Python, with a strong understanding of data types, string manipulation, type casting and conversions. Functions : Experienced in calling functions, using default and variable arguments, and writing … use cases. Preferred skills and experience Machine learning experience : Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Natural Language Processing (NLP) : Experience with NLP techniques and tools, such as spaCy or NLTK. Distributed systems : Knowledge of distributed systems and experience with tools like Kubernetes or Docker. Cloud services : Experience with cloud More ❯

and Semantics group, which operates within a wider capability focused on Data and Decision Support. This capability includes teams specialising in reinforcement learning, natural language processing (NLP), knowledge graphs, large language models (LLMs), computer vision, and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of … researchers and engineers working in NLP, LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world challenges, particularly within the defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary …/ML projects. It also provides scope to engage with academic institutions, SMEs, and technical partners, while shaping future research directions. Key Responsibilities: Lead and deliver research projects in NLP, knowledge representation, and machine learning, often in collaboration with leading UK universities. Direct technical teams, ensuring timely delivery of high-quality technical outputs including reports, demonstrators, and proposals. Develop and More ❯

learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More ❯

learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More ❯