18 of 18 Natural Language Processing Jobs in Portsmouth

business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants … We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid More ❯

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to More ❯

tools, such as Blue Prism, Automation Anywhere, UiPath, Powerautomate, IBM RPA etc. This expertise includes native chatbot support, natural language processing (NLP), optical character recognition (OCR), native Citrix automation, document processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features More ❯

are looking for a technical AI writer, AI researcher, or engineer who's passionate about AI education and has a strong understanding of Large Language Models (LLMs). Our mission is to empower individual learners and lecturers to develop AI knowledge and skills for driving high-impact and responsible … up. Content Review: Reviewing other modules produced by university AI Teaching Fellows and providing feedback on their content. Required Skills Strong understanding of Large Language Models (LLMs). Experience in AI … education and curriculum development. Ability to work collaboratively with online learning experts and researchers. Preferred Skills Experience with Natural Language Processing (NLP). Familiarity with cloud platforms for hosting educational content. Knowledge of coding and practical labs related to AI. #J-18808-Ljbffr More ❯

solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable … Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical More ❯

boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models … and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based … product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and More ❯

to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments. Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data. Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable … Understanding of algorithm performance in constrained or sensitive environments. Prior experience within the defence, aerospace, or national security sectors. Familiarity with computer vision, signal processing, or natural language processing. Exposure to MLOps, edge computing, or synthetic data generation. Knowledge of government or MOD procurement and technical frameworks More ❯

a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form More ❯

Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a bias for action and a passion for building world-class More ❯

updated with the latest AI trends. Key skills and experience: Proven experience in GenAI Experience with innovative AI projects using current technologies LLM or NLP expertise Strong Python coding skills Experience in agile environments This is a hybrid role requiring 2 days per week in their London offices. Salary ranges More ❯

cross-team learning SKILLS AND EXPERIENCE Required Strong Python backend experience (Flask, Kafka, Docker, Kubernetes) 2+ years’ experience building or integrating AI (e.g., LLM, NLP) Passion for AI – demonstrated through side projects, research, or professional experience Excellent communication skills, able to work with both technical and non-technical stakeholders Preferred More ❯

services and patient outcomes. We’re looking for a dynamic Data Scientist to join our growing team. You’ll be responsible for developing our NLP models, analysing the outputs of those models on the wealth of data we collect, and working closely with our customers to explain the findings in … empowering, and we're looking for a passionate, driven individual to join us on our mission. What You’ll Be Doing: Designing and implementing NLP approaches to extract new insights from unstructured text data Training machine learning models to automatically categorise text Investigating new approaches to problems, exploring the literature More ❯

within a discreet fund based in the UAE, operating at the intersection of Quantitative Research and Artificial Intelligence. This role involves leveraging data and language models to support research, development, and implementation of systematic investment strategies. The successful candidate will have strong technical skills, a solid understanding of financial … for ingestion, tagging, cleansing, and integration of financial text and structured data. Oversee and enhance quality control processes for financial content generated by large language models (LLMs), ensuring coherence, accuracy, and logical consistency. Collaborate with quant researchers and engineers to improve the performance, accuracy, and reliability of AI-driven … ability to communicate complex ideas clearly to both technical and non-technical audiences. Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, or other NLP methodologies. Strong curiosity and motivation to explore new technologies and methodologies in data science and AI. Strong understanding of macroeconomics, financial markets, and investment principles. More ❯

and prevent attacks. ABOUT THE POSITION We are seeking a highly skilled AI Engineer to develop and optimize AI-driven reasoning systems using large language models (LLMs) alongside fine-tuned deep learning models for analyzing dark web data. This role involves building and integrating retrieval-augmented generation (RAG) techniques … structured and unstructured dark web sources. Train and fine-tune smaller deep learning models, including vision models (e.g., CNNs, Vision Transformers) and transformer-based NLP models (e.g., BERT, DistilBERT) for classification, entity recognition, and document intelligence. Design and maintain scalable AI-powered query systems that integrate reasoning capabilities for dark … retrieval-augmented generation (RAG), and transformer-based architectures such as GPT, BERT, or T5. Experience training and fine-tuning smaller deep learning models for NLP and computer vision tasks. Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate) and their use in AI-driven retrieval systems. Familiarity with anomaly detection techniques More ❯

As Legal AI Engineer you will: Design and implement AI models tailored to legal text and documents (e.g., contracts, case law, regulations). Apply NLP techniques to extract structured insights from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model … compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding … of legal language, structures, and workflows (e.g., contracts, clauses, case law). Knowledge of LLMs and prompt engineering. Bonus: Familiarity with legal tech tools or platforms (e.g., Kira, Luminance, Relativity). This is an excellent opportunity for a Legal AI Engineer to join a highly renowned Legal Tech Scale More ❯

Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: Data Scientist – AI & NLP Innovation London (Hybrid) Our client is a dynamic investment firm using AI to reshape financial insight Are you a data scientist passionate about applying NLP … in a collaborative, inclusive, and mission-driven environment. Why Join? Be part of a newly established, fast-growing AI team Work on cutting-edge NLP and generative AI tools (e.g., RAG, open-source LLMs) Help automate and modernise business processes across a respected financial organisation Flexible, inclusive culture with purpose … driven values around environmental and social responsibility What You'll Do: Build and deploy AI applications that improve efficiency and deliver business value Apply NLP, LLMs, and automation to unlock insights from complex, unstructured data Work across departments to identify and deliver impactful AI use cases Evaluate emerging models and More ❯

with expert level Knowledge graph experience to join my client on a fully remote contract. As an Data Scientist you will be working on NLP applications for risk, fraud, and investigation products. Your job will be to: Experiment with different state-of-the-art as well as traditional NLP approaches More ❯

Job Views: 3 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Top-tier hedge fund is looking for an ML Researcher with strong NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML … workflows from data ingestion to live deployment Build and optimize data pipelines and benchmarking frameworks Apply NLP and statistical methods to market data What They're Looking For: Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus More ❯