51 to 66 of 66 Natural Language Processing Jobs in London

hours per week) at one of the following client offices: San Francisco, New York, Atlanta, London, or Singapore. You'll help improve AI's understanding of Thai by ensuring natural language generation that reflects local grammar, tone, and culture. Responsibilities Evaluate and refine AI-generated Thai text for fluency and accuracy. Offer feedback on grammar, semantics, tone, and … in English. Strong understanding of Thai 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 ❯

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 ❯

looking for a Senior Machine Learning Engineer to join our growing engineering team. You're the perfect fit for this role if you are passionate about solving problems in NLP, have a great appreciation for science and want to transform how it is done. You Will: Continuously improve the performance and scalability of ML models that are at the core … deliverables, and work with teammates to ensure high-quality deliverables You Have: 5+ years of software development experience Bachelor's degree in Computer Science or Mathematics Strong experience with NLP A degree in computer science with a focus in machine learning and at least three years of experience in the industry Strong experience with TensorFlow, PyTorch, and image processing libraries such as OpenCV and scikit-image Experience with data processing frameworks and Cloud ML Tooling You have a constant desire to grow and develop You have strong cross-team communication and collaboration skills A team player who strives to see teammates succeed together Benefits and Perks: * A great compensation package that includes BenchSci equity options * A robust More ❯

Sports Tech - London AI Engineer needed to join a highly skilled Engineering & AI team in a rapidly growing sports tech company. Role and Responsibilities: Design, build, and deploy Large Language Model (LLM)-driven applications into production Develop retrieval-augmented generation (RAG) systems for real-time insights from performance and wearable data Optimise and fine-tune LLMs for efficiency, scalability … LlamaIndex Passionate about sports, health, or fitness – you’ll feel right at home here Bonus points if you: Have worked with unstructured data (text, documents, time-series) and applied NLP techniques Have experience scaling LLM systems using cloud platforms (AWS/GCP/Azure) and containerisation (Docker, Kubernetes) AI Engineer - Elite Sports Tech - London 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 ❯

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 ❯

highly skilled and experienced AI Engineer to join our team. The ideal candidate will bring deep expertise in building and deploying AI/ML solutions, particularly in areas like NLP, document understanding, and search/retrieval systems. You will work in a dynamic environment, collaborating across teams to design scalable AI-driven solutions and bring them into production. Key Responsibilities … Design, develop, and deploy AI/ML solutions with a focus on NLP, document understanding, and information retrieval. Integrate AI models into systems using APIs and message brokers such as REST and Kafka. Implement secure systems using modern authentication and authorization standards like OAuth2, JWT, and Azure AD. Apply best practices in AI model evaluation, tuning, and optimization. Work with … production-grade AI/ML projects, including at least two successful deployments. Strong expertise in: API integration & inter-service communication (REST, Kafka) Authentication/Authorization (OAuth2, JWT, Azure AD) NLP techniques (NER, classification, chunking, summarization, QA) RAG architectures and working with LLMs (OpenAI, Anthropic, etc.) Vector databases (FAISS, Azure AI Search More ❯

be doing: Designing, building and deploying ML-powered features across a production platform Working across Python and TypeScript, integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we're looking for … Strong commercial experience building and deploying ML models in production Proficiency in Python and familiarity with TypeScript/JavaScript Experience with NLP or recommendation systems is a bonus Excited by start-ups: product-minded, hands-on, and motivated by impact What's on offer: £100,000 - £120,000 salary + meaningful equity 4 days/week in a modern London 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 ❯