19 of 19 Natural Language Processing Jobs in the South East

European Bioinformatics Institute (EMBL-EBI) is seeking a talented and motivated Software Engineer to join our SearchBot project. This new initiative will pilot natural language query (NLQ) capabilities across EBI Search, which indexes more than 6.6 billion records from EMBL-EBIs world-leading life science resources. The project … emerging standards like the Model Context Protocol (MCP). Your role You will be responsible for designing, developing, and deploying prototype services that enable natural language queries across EBI metadata and selected data type specific searches. You will: Implement MCP-based services to expose search endpoints ...

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 ...

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 ...

Company We are a venture-backed technology company operating at the intersection of AI, data science, and life sciences. Our platform uses advanced Natural Language Processing to extract and structure insights from vast volumes of scientific literature, enabling faster and more informed drug discovery. Our teams combine ...

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 ...

vision and deep learning frameworks (e.g., OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2) Experience with both supervised and unsupervised machine learning, including computer vision, NLP, and LLM-based systems Familiarity with ML/MLOps pipelines for development and deployment Solid understanding of ML/DL fundamentals (e.g., CNNs, object detection ...

text, images, metadata). What you’ll do Build & productionise ranking, recommendation, and pricing models Design A/B tests and experimentation frameworks Apply NLP, LLMs, and vector databases to real product problems Create multi-step AI workflows for commercial and operational decisions Translate technical insights into product & revenue impact ...

reporting will also be key, ensuring the foundation is rock-solid. Year two is about using that foundation for genuinely advanced work: predictive modelling, NLP on clinical data, and AI pre/post-call agents powered by LLMs. Customer segmentation using clustering models and Monte Carlo simulations will also feature. ...

science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

current AI and data platform and define clear, actionable improvements Lead on delivery across two workstreams, aligning product, data and engineering Improving the natural language data exploration platform, focusing on trust and semantic consistency Designing and implementing scalable, multi-source data pipelines … architecture About you: Strong experience with Python and AWS Deep knowledge of data pipelines, AI/ML systems and modelling Experience with LLM- or NLP-powered platforms Strong focus on scalable, reliable system design Please apply now and reach out to Adam at Opus for more informationE ...

Daily in-office training from Director level billers High-performance culture with visible top billers The role: Working a vertical market within AI (NLP, Computer Vision or GenAI) Building your own client base within VC-backed tech firms Managing full 360 recruitment process Closing high-value permanent deals Requirements: Degree ...

Daily in-office training from Director level billers High-performance culture with visible top billers The role: Working a vertical market within AI (NLP, Computer Vision or GenAI) Building your own client base within VC-backed tech firms Managing full 360 recruitment process Closing high-value permanent deals Requirements: Degree ...

agile product development environments. Desirable Experience working in regulated environments or with legal workflows. Thorough understanding of AI technologies used in legal environments (LLMs, NLP, extraction/classification models, summarisation, RAG pipelines, etc.) Hybrid Working Birketts is a flexible business which has embraced a hybrid working model where our colleagues ...

over-engineering Maintain a high bar for clarity, reproducibility, and long-term maintainability What we're looking for Strong foundations in machine learning (e.g. NLP, information extraction, representation learning) Systems-oriented mindset - performance in production matters more than benchmarks Comfort working in ambiguity and defining problems from first principles Intellectual ...

Senior Data Scientist A great opportunity to join a team building advanced conversational AI and NLP products for financial services. This role is ideal if you enjoy modern LLMs, problem solving, and bringing machine learning models into production. The Company They are a growing data and AI organisation developing conversational … tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams. The Role Build and fine tune LLMs and NLP models for analytics ...

deployment of machine learning and LLM based solutions. Responsibilities include: Designing and building machine learning models used by trading and financial services clients. Developing NLP and LLM powered chat engines that surface insights and factual answers from complex data. Fine tuning deep learning and large language models, including extraction … chatbots and analytical AI platforms. Your Skills and Experience Hands on experience building and deploying machine learning models end to end. Experience with LLMs, NLP, conversational AI, RAG pipelines and model fine tuning. Understanding of production grade ML workflows and CI CD principles. Experience building chatbots or NLP driven chat ...

thinking that drives measurable and impactful outcomes. In your previous experience, you have: Demonstrated long-term success on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, technical environments, and client industries Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs … tooling and trends within the software industry Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Successfully led modernization efforts to align legacy systems ...