26 to 36 of 36 Natural Language Processing Jobs in Central London

leadership team. As Associate Director of Artificial Intelligence, you'll drive and execute the company's AI strategy - leading initiatives that harness the power of Machine Learning, Generative AI, NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to … field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines More ❯

the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. … projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to a collaborative team Nice to Have: Experience with SQL/NoSQL databases Familiarity with MLOps tools (Docker … Git, CI/CD) Exposure to vector databases or semantic search Knowledge of financial datasets or document processing workflows If you’re excited to grow your skills in machine learning and work on technology that helps people understand complex data — we’d love to hear from you. Apply now and start your journey building the future of data-driven More ❯

Shape the Future of AI-Ready Research Computing Position: DevOps Engineer (Research Computing & AI) Location: London Department: Advanced Research Computing & AI Order of skills/experience for the role: Linux/Window system administrator AWS cloud computing/Azure/ More ❯

drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building and deploying core projects onto … platforms SKILLS AND EXPERIENCE MSc or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with proven experience working with stakeholders More ❯

impact investment evaluation and analytics. The successful candidate will act as the team’s practical AI lead, owning the knowledge graph, GNN/graph-embedding models, and LLM/NLP extraction + RAG systems that power investment workflows. Alongside this, the role will involve designing research processes, monitoring portfolios, and contributing to systematic fund-of-funds strategies. Key Responsibilities Systematic … well-documented insights. AI & Data Systems: Design and maintain domain ontologies, building and operating knowledge graphs (e.g., Neo4j) with versioning, provenance, consent/visibility controls, and schema evolution. Build NLP/LLM pipelines for information extraction across diverse document sources; develop hybrid retrieval systems with evaluators for relevance, faithfulness, and citation. Train embeddings for nodes and relations, prototype GNNs and … training to ensure best practices across teams Preferred Qualifications: Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background Familiarity with machine learning, NLP, and large language models (LLMs) Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV) Master’s degree in a relevant field is a plus More ❯

impact investment evaluation and analytics. The successful candidate will act as the team’s practical AI lead, owning the knowledge graph, GNN/graph-embedding models, and LLM/NLP extraction + RAG systems that power investment workflows. Alongside this, the role will involve designing research processes, monitoring portfolios, and contributing to systematic fund-of-funds strategies. Key Responsibilities Systematic … well-documented insights. AI & Data Systems: Design and maintain domain ontologies, building and operating knowledge graphs (e.g., Neo4j) with versioning, provenance, consent/visibility controls, and schema evolution. Build NLP/LLM pipelines for information extraction across diverse document sources; develop hybrid retrieval systems with evaluators for relevance, faithfulness, and citation. Train embeddings for nodes and relations, prototype GNNs and … training to ensure best practices across teams Preferred Qualifications: Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background Familiarity with machine learning, NLP, and large language models (LLMs) Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV) Master’s degree in a relevant field is a plus More ❯

NLP/Information retrieval - Lead Data Scientist - Research Scientist - GenAI Ready to work for one of the most exciting Data Science Labs teams in the world!?! I am currently recruiting for a Lead Applied Scientists are experts in NLP, Machine learning, Information retrieval with some exposure in GenAI. You will be responsible for the design and delivery of AI solutions … of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master’s plus a comparable level of experience, Vastly experienced in hands-on experience building NLP/IR systems for commercial applications, Experience writing production code and ensuring well-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and More ❯

NLP/Information retrieval - Lead Data Scientist - Research Scientist - GenAI Ready to work for one of the most exciting Data Science Labs teams in the world!?! I am currently recruiting for a Lead Applied Scientists are experts in NLP, Machine learning, Information retrieval with some exposure in GenAI. You will be responsible for the design and delivery of AI solutions … of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master’s plus a comparable level of experience, Vastly experienced in hands-on experience building NLP/IR systems for commercial applications, Experience writing production code and ensuring well-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and More ❯

communication (e.g. REST, Kafka) · Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD) · At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/retrieval systems · Practical knowledge and hands-on experience with: RAG architectures, LLMs (e.g., OpenAI, Antropic), Vector databases (e.g., FAISS, Azure AI Search), Embeddings (e.g., OpenAI) · Strong grasp … of NLP techniques: named entity recognition (NER), document classification, chunking, summarization, question answering. · Ability to evaluate trade-offs and select appropriate ML/AI techniques for a given problem. · Experience with PoC development and iterating quickly based on results. · Familiarity with LangChain, LlamaIndex, or similar agentic frameworks. · Strong debugging, profiling, and optimization skills for AI applications. More ❯

New Role: Data Science Engineer (NLP Focus) 💰 Salary: up to £75,000 🏠 Hybrid/Remote: Flexible, with regular London meetings 📍 Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale. This is a great opportunity for someone passionate about impactful data work and … modern AI tools. What We're Looking For: ✅Few years experience in data science or engineering ✅ Strong Python skills and extensive experience with LLMs/NLP ✅ Experience building scalable data pipelines If you're a hands-on data scientist/engineer looking for your next step, we’d love to hear from you. 📩 Interested? Apply now More ❯

New Role: Data Science Engineer (NLP Focus) 💰 Salary: up to £75,000 🏠 Hybrid/Remote: Flexible, with regular London meetings 📍 Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale. This is a great opportunity for someone passionate about impactful data work and … modern AI tools. What We're Looking For: ✅Few years experience in data science or engineering ✅ Strong Python skills and extensive experience with LLMs/NLP ✅ Experience building scalable data pipelines If you're a hands-on data scientist/engineer looking for your next step, we’d love to hear from you. 📩 Interested? Apply now More ❯