51 to 60 of 60 Natural Language Processing Jobs in London

hours per week) at one of the following offices: San Francisco, New York, Atlanta, London, or Singapore. You'll help improve AI's understanding of Cantonese by ensuring natural language generation that reflects local grammar, tone, and culture. Responsibilities Evaluate and refine AI-generated Cantonese text for fluency and accuracy. Offer feedback on grammar, semantics, tone, and style. … in English. Strong understanding of Cantonese grammar, semantics, and pragmatics. Bachelor's degree in Linguistics, Translation, or related field. Prior linguistic or annotation experience preferred. Familiarity with AI or NLP is a plus. Why Join Influence AI's ability to understand and produce authentic Thai. Work in person (10–20 hours weekly) in a collaborative, global environment. Help shape the More ❯

Developing data initiatives in line with wider business strategy Engage with senior business leaders and technology management to design a Target Data Operating Model Develop the firms AI/NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimise existing technology to support/develop the ongoing data architecture roadmap in relation to business operations Enhance the … ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data – Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI/NLP/ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all departments at More ❯

week, in person) at one of the following client offices: San Francisco, New York, Atlanta, London, or Singapore. You'll contribute to improving AI systems by ensuring high-quality language coverage, accuracy, and cultural relevance for French as spoken in France. As a Linguistic Expert, you'll collaborate with AI researchers and engineers to refine models' understanding and generation … and cultural relevance. Provide expert feedback on grammar, semantics, style, and tone. Develop linguistic guidelines and documentation to improve consistency in AI outputs. Collaborate with research teams to identify language-specific challenges and nuances. Suggest enhancements to training datasets and language models. Requirements Native-level proficiency in French (France) and fluency in English. Strong understanding of grammar, syntax … nuances. Bachelor's degree in Linguistics, Translation, Literature, or related field (advanced degree a plus). Prior experience in linguistic annotation, translation, or content review preferred. Familiarity with AI, NLP, or language technologies is a bonus. Why Join Contribute directly to cutting-edge AI research and development. Work in person (10–20 hours weekly) with a global, mission-driven More ❯

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 ❯

or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science … or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science … or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science 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 ❯

team at the forefront of applied AI. You'll work on meaningful, real-world challenges with clients across the UK - using state-of-the-art LLMs, computer vision, and NLP to build innovative solutions that deliver real impact. This is a broad, high-impact role, perfect for someone who thrives in fast-paced environments, combines technical depth with strong product … to travel to) either Cardiff or London 2-3 days a week. Bonus points if you also have: A PhD (or equivalent research experience) in machine learning, computer vision, NLP, or a related field Experience with multi-modal models that combine vision and language Strong grasp of data-centric AI practices - annotation tooling, prompt evaluation, and dataset curation Familiarity … same. Fine-tune and privately deploy LLMs - with a focus on Retrieval-Augmented Generation (RAG) pipelines Build and scale computer vision systems - from object detection to image segmentation Apply NLP to real-world business problems - summarisation, entity recognition, information extraction, and more Train and deploy models at scale using AWS - including Lambda, EC2, S3, and SageMaker Meet with enterprise clients 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 ❯

to building cutting edge AI that is operationally relevant, solving real problems, to drive real outcomes. This is a unique time to join Adarga. With our foundations set in NLP, computational linguistics and graph technology we now draw on the latest ideas in generative AI and knowledge representation, as we set our sights firmly on defining and building the next … opportunity to design and build a first-of-its-kind adaptive intelligence platform designed for mission-critical environments. You'll be working at the intersection of real-time data processing, multimodal ingestion, adaptive knowledge representation, and composable services, all built to operate across the most demanding deployment contexts (on-prem, cloud, and/or edge). You'll work … complex platforms. Proven experience building distributed systems, data pipelines, or infrastructure for mission- or safety-critical environments. Deep proficiency in at least one modern systems-level or backend programming language (e.g. Python, Rust, Go, or similar) with the ability to design, implement, and optimise performant, reliable software. Experience architecting systems that handle diverse data types-text, geospatial, sensor, temporal More ❯