26 to 50 of 60 Natural Language Processing Jobs in England

rapidly growing Artificial Intelligence and Machine Learning Research Group. We are looking for academics at the Lecturer and Senior Lecturer level, with expertise in Natural Language Processing, Reinforcement Learning, and/or AI Security, to lead research, teach, and help with the running of the department. Artificial ...

rapidly growing Artificial Intelligence and Machine Learning Research Group. We are looking for academics at the Lecturer and Senior Lecturer level, with expertise in Natural Language Processing, Reinforcement Learning, and/or AI Security, to lead research, teach, click apply for full job details ...

. Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and natural language processing. Proficiency with machine learning … generative AI, particularly in the context of audio/speech technologies. A strong publication record in top-tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR). Experience with open-source speech ...

Hybrid A leading organisation is expanding its AI capability and is looking for a Machine Learning Engineer to help build and scale next-generation NLP and Gen AI solutions. This role sits at the heart of an established data function, working on real production workloads rather than prototypes. ...

deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British ...

deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British ...

deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British ...

. NET , Python, SQL, APIs , Azure, Power Platform, SaaS , PaaS , IaC . Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP , MCP etc . Experience in architecture and software development methodologies , and design techniques e.g. Agile, C4, UML , TOGAF , Microsoft Well-Architected Framework , design patterns . ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

support commercial teams Developing Q&A-style LLM tools inside Databricks Exploring customer satisfaction and review data (e.g., identifying drivers behind quality scores) NLP on large volumes of free-text data Regression and hypothesis testing across product and operational data Theme extraction from defect reports and customer feedback Helping challenge ...

Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow ...

Python , Machine Learning , and Data Engineering . Expertise in AWS and/or Azure cloud platforms. Hands-on experience with PyTorch , LLMs , and NLP technologies. Previous experience in financial services within large-scale organisations. ...

carried through to production Desired Skills/Experience Experience of working with .NET 5/.NET Core Experience of .NET stack AI technologies (ML.NET, NLP etc.) Experience of working with Rx (Reactive Extensions) Experience of working with Python Experience of working with HTML5 and JS A working knowledge of Fixed ...

hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power ...

z2bz0 years in leadership roles. Deep understanding and experience of AI technologies, trends and strategies with expertise in machine learning, deep learning, NLP, computer vision, or other AI domains such as Generative AI and Agentic AI. Track record of deploying AI solutions at scale with experience in leveraging and building ...

hands-on research, software development, and collaboration with a multidisciplinary team in a dynamic environment. Responsibilities include: Conduct independent research in audio and speech processing, including signal processing, machine learning, and deep learning. Design, develop, and implement algorithms and systems for audio/speech analysis, enhancement, separation … plus. Solid understanding of machine learning and deep learning, including model architectures, training, and evaluation. Proven research experience in audio/speech processing with publications in top-tier conferences/journals. Proficiency with ML frameworks such as TensorFlow or PyTorch. Strong analytical and problem-solving skills; ability to design ...

environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What … Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse, and forward-thinking tech team Excellent Company Benefits 25+ Days Annual Leave ...

fairness, transparency, and user trust. What You'll Bring Strong hands-on experience in testing and evaluation of AI or software systems, ideally with NLP or LLM-based applications. Understanding of prompt evaluation, semantic search, and LLM behaviour (accuracy, hallucination, bias, tone, etc.). Familiarity with tools like Trulens, HumanLoop ...

Developer to design, build, and deploy a web-based AI agent that will automate and elevate our core QA coordination tasks. Responsibilities: Design & Implement NLP Pipelines: Parse, understand, and extract key information from unstructured Release Notes and Test Policy documents. Develop RAG Systems: Fine-tune a Retrieval-Augmented Generation ...

Specialist/Process Analyst/Documentation Specialist/Prompt Engineer/AI Prompting/AI Workflows/Software Engineering/SaaS/Automation/NLP/Data Analysis/Computer Science/Business Management/Information Systems/LegalTech/Operations Management/Graduate/Junior/Trainee ...

generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning and audio/speech processing, learning from peers and senior engineers while applying best practices in research, software development, and deployment to mobile platforms. This may include implementing … plus. Strong expertise in machine learning and deep learning, including training, evaluation, and model deployment. Hands-on experience in audio/speech processing, including speech recognition, speech enhancement, audio analysis, TTS, and NLP. Proficiency with ML frameworks such as TensorFlow or PyTorch. Solid software engineering skills, including ...

Engineer Python, Machine Learning, NLP, Azure An AI Engineer is required by Whitehall Resources for a permanent position with our UK-based client. This role offers hybrid working, with the flexibility to be based from offices in either Birmingham or Manchester three days a week. As an AI Engineer, youll ...

this to be possible. Interviews next week apply asap/Today Key Responsibilities: Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications click apply for full job details ...

Work with large scale, multi region data sets including structured and unstructured data. Use tools such as Hugging Face, OpenAI, vector databases, and large language model frameworks to create advanced AI solutions. Optimise models through fine tuning, parameterisation, prompt engineering, and performance testing. Develop solutions across cloud environments including … years experience delivering live, production grade AI or machine learning systems. A minimum of 5 years theoretical understanding of machine learning, deep learning, NLP, and large language models. Strong experience with transformer models, embeddings, vector search, and Generative AI architectures. Practical experience using Hugging Face, OpenAI, LangChain, Retrieval Augmented ...