51 to 58 of 58 Natural Language Processing Jobs in London

and explainable. AI ENGINEER - ESSENTIAL SKILLS: Proven experience working with LLMs and agentic AI frameworks (e.g. LangChain, AutoGen, CrewAI, RAG). Strong proficiency in Python for AI development, data processing, and API integration. … Solid understanding of AI system design, prompt engineering, and model fine-tuning. Experience working with SQL and modern data ecosystems (GCP, PostgreSQL, or similar). Background in machine learning, NLP, or AI workflow automation. NICE TO HAVE: Experience integrating AI models into production systems using GCP, AWS, or Azure. Familiarity with vector databases, embedding models, or retrieval-augmented generation (RAG … us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: LLMs | LangChain | Agentic AI | AI Agents | Python | SQL | GCP | NLP | RAG | ML | AI Automation | Prompt Engineering More ❯

Machine Learning Lead - Agentic AI, NLP & Generative AI Central London (Hybrid - 3 days/week in office) Up to £120,000 Shares + Benefits A fast-growing Data & AI Product-based company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious products, shaping the architecture … direction, and delivery of advanced AI and Machine Learning initiatives. What youll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate … in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs More ❯

of ambitious projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you’ll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art … model deployment, evaluation, and optimisation. What we’re looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs … team shaping the future of intelligent systems, apply now. Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits ML, Agentic AI, NLP, Generative AI, Python, Leadership More ❯

London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. … Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed More ❯

millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource that consults other teams use of LLMs … Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms We may use artificial intelligence (AI) tools to support parts of the More ❯

of robust evaluation frameworks and pipelines, establishing metrics and benchmarking models on large datasets to steer R&D. Drive advanced prompt-engineering practice to maximise model efficacy. Apply core NLP fundamentals (tokenisation, embeddings, model architecture) while keeping outputs structured, performant and cost-efficient. Own clean, modular Python back-end code for data-intensive systems, balancing real-world constraints such as … record of shipping production LLM systems Hands-on experience designing LLM agents and RAG pipelines. Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines. Solid grounding in NLP fundamentals (tokenisation, embeddings, bias handling). Ability to juggle token limits, cost and latency while delivering structured outputs. You will be: A builder. You might spend your weekends at hackathons More ❯

Review and annotate AI-generated Turkish text for grammatical accuracy and contextual relevance. Provide feedback on semantics, idiomatic expressions, and stylistic nuances. Create and maintain guidelines to improve Turkish language consistency in AI outputs. Partner with researchers to address language-specific challenges. Suggest improvements to datasets and linguistic frameworks. Requirements Native-level proficiency in Turkish (Türkiye) and fluency … command of grammar, syntax, and stylistic conventions. Bachelor's degree in Linguistics, Translation, Literature, or related field. Experience in linguistic annotation or content review preferred. Familiarity with AI/NLP tools or technologies is a plus. Why Join Work closely with AI experts shaping the future of Turkish language models. Flexible in-person schedule (10–20 hours weekly) at More ❯

Responsibilities Review, evaluate, and annotate Swedish AI-generated text. Provide guidance on grammar, semantics, tone, and phrasing. Create linguistic resources and documentation. Collaborate with research teams to address Swedish language challenges. Propose improvements to training datasets and algorithms. Requirements Native-level Swedish (Sweden) proficiency and … strong English skills. Excellent grasp of grammar, syntax, and cultural nuance. Bachelor's in Linguistics, Translation, or equivalent. Experience in content review, editing, or annotation. Knowledge of AI or NLP technologies is beneficial. Why Join Directly impact AI's fluency in Swedish. Collaborate in person (10–20 hours weekly) with global researchers. Be part of pioneering work shaping the future More ❯