1 to 25 of 39 Permanent Natural Language Processing Jobs in the South East

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine … leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning/AI Excellent academics throughout including ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine … leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning/AI Excellent academics throughout including ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. **Artificial Intelligence & Machine Learning:** Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. **Data Engineering & Cloud Computing:** Strong proficiency in designing optimized ELT/ETL pipelines …/LLMOps Pipelines Data Engineering & Cloud Computing Team Leadership & Mentorship Artificial Intelligence & Machine Learning ATS Optimization Keywords Hard Skills Python SQL Machine Learning Algorithms Natural Language Processing ELT/ETL Pipeline Design Containerization Model Deployment Performance Tracking Hyperparameter Tuning Architecting Complex Systems Soft Skills Autonomy Influence Complex ...

Overview Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic … leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning/AI Excellent academics throughout including ...

edge of AI/ML, working across areas including: Computer Vision Reinforcement Learning Large Language Models (LLMs) Natural Language Processing (NLP) Deep Learning and advanced ML techniques Novel algorithm development and experimentation A key part of the role is taking academic research and state … ideally have: Proven commercial experience in AI/ML R&D Strong Python development skills Experience in one or more of Computer Vision, NLP, LLMs or Reinforcement Learning A track record of developing novel AI/ML applications Experience adapting and applying academic research Strong software engineering fundamentals Experience working ...

Cambridge is seeking a Machine Learning Research Engineer to investigate new concepts in machine learning, particularly focusing on Natural Language Processing (NLP) and large language models (LLMs). The ideal candidate will possess a Ph.D. and a strong background in classic machine learning as well ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

Knowledge Proven experience in data science and data analysis. Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis. Knowledge of data platforms and data processing, including batch and real‐time automation. ...

could take you. Role Description BAE Systems Digital Intelligence Defence Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking … well as to grow technical research areas of interest to you. You will have strong experience of working in projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), knowledge graphs and/or graph machine learning and with a vision on how to develop solutions ...

. Knowledge of data visualisation tools such as Power BI or Tableau. Experience with Git/version control. Exposure to Generative AI, LLMs or NLP . Experience deploying models into production environments. What's on Offer Competative salary Hybrid working 25 days' annual leave + bank holidays Company pension scheme ...

latest data science research and trends. Attend a meeting with client stakeholders to discuss their business requirements. Design and implement a data pipeline for processing large datasets. Develop and execute a machine learning model to solve a business problem. Present your findings and recommendations to a variety of audiences. … Data Science Manager, or a Solutions Architect. You could also specialize in a particular area of data science, such as machine learning or natural language processing. Salary & Benefits The estimated salary range for a Senior Data Engineer at Unisys in Milton Keynes ...

software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building new relationships and maintaining current customer relationships. ...

organisation's AI services Specifically, you can expect to be involved in the following: Designing and maintaining scalable MLOps infrastructure that supports machine learning, NLP, knowledge representation, and AI applications. Deploying and managing machine learning models using Azure ML, Azure Kubernetes Service (AKS), and associated cloud technologies. Building and maintaining ...

Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data ...

software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent customerrelationships. Expertise Required ...

post-doc experience in a quantitative discipline such as statistics, mathematics, computer science, or a related field. Nice to have: Experience applying GenAI or NLP models to real-world business problems. Be yourself – Our differences make us stronger Our customers come from all walks of life ...

Contribute to multimodal and audio-focused AI projects Help define evaluation frameworks and model quality standards Your Skills & Experience Strong commercial experience building AI, NLP, or LLM-based products Hands-on experience with modern foundation models and AI frameworks Experience with fine-tuning, prompt engineering, or instruction tuning Strong Python ...

assets using Microsoft Fabric and Databricks. Designing scalable lakehouse data models and governed datasets. Conducting exploratory data analysis and developing machine learning models. Applying NLP, entity resolution and information extraction techniques to document-heavy datasets. Deploying analytical solutions into production through APIs, pipelines and data products. Implementing data quality, monitoring ...

Science, Computer Science, Engineering, or related field. Strong experience leading AI, analytics, digital transformation, or innovation programs. Solid understanding of Generative AI, Machine Learning, NLP, and AI applications. Experience translating business challenges into scalable AI solutions. Strong stakeholder management and executive communication skills. Ability to lead cross-functional initiatives ...

product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification, entity resolution, information extraction, clustering and relationship discovery across document-heavy data. Publish curated datasets, features ...

adoption. Enable R&D teams to work more efficiently and effectively with large volumes of content. What you’ll need: Experience or interest in NLP and LLM applications (transformers, Retrieval-Augmented Generation, prompt engineering). Familiarity with data visualization and scientific communication tools. Knowledge graph and ontology management. Python ...

PSPO, CSPO, PSM/CSM, BCS/CBAP/PMI-PBA, or ISTQB Foundation Delivery/project or product management experienceFamiliarity with AI, LLMs, NLP or agentic AI If you like variety, thrive on detail and want your work to reach patients, we'd love to hear from you. Closing ...

methods Understanding and Management of Machine Learning and associated technologies and methods Understanding and Management of General AI techniques, data analytics (e.g. predictive), NLP etc. Lead (direction) and manage the end-to-end lifecycle for development and deployment of advanced AI, and specifically: The management of people, process, documentation associated … Neural Networks) and Unsupervised (KMeans, Gaussian Mixtures) and the entire end to end ML pipeline. Certification in DevOps, Agile, AWS, Azure. Experience of managing NLP problems such as Text Classification, PII detection, Sentiment Analysis, Text Summarization, Information Retrieval. Experience of managing NLP techniques such as N-grams, word embeddings ...