201 to 225 of 227 Natural Language Processing Jobs in London

JPMorgan Chase is seeking an NLP/LLM Scientist to lead applied AI initiatives within the Machine Learning Center of Excellence. The role focuses on deploying advanced NLP methods, building large‐scale models, and driving production ready solutions through collaboration with business and technology teams. The candidate should have ...

secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL … Experience quantifying uncertainty in large models — calibration and confidence estimation via Bayesian methods, ensembling, steering, or prompt-based approaches. Experience with machine translation, multilingual NLP, or document-/layout-aware modelling experience. Familiarity with MoE-specific training and adaptation (e.g. expert routing, Mixture-of-LoRA-Experts) and large-scale data ...

such as PyTorch, ensuring scalability and reliability in high‐traffic environments Build and deploy production AI Agents using raw and fine‐tuned foundational Large Language Models (LLMs), along with sub‐agents, tools, and MCP integrations Architect end‐to‐end ML pipelines, integrating data processing (e.g., Spark, Airflow) with … framework (e.g., PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP. Expertise in prompting and fine‐tuning Large Language Models (LLMs) and building production AI Agents. Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems. ...

best-seller creation.Drive experimentation and evaluation of algorithms, ensuring scalable deployment and continuous performance improvements.Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real-world challenges.Work onsite in London.Minimum Qualifications:Master’s degree or higher in Computer … Science, Mathematics, or a related field, with specialization in machine learning, NLP, or information retrieval.6+ years of experience in search, recommendation, or advertising systems, including at least 2 years in a leadership or team management role.Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such ...

creation. Drive experimentation and evaluation of algorithms, ensuring scalable deployment and continuous performance improvements. Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‐world challenges. Location: Work onsite in London. Minimum Qualifications Master’s degree … higher in Computer Science, Mathematics, or a related field, with specialization in machine learning, NLP, or information retrieval. 6+ years of experience in search, recommendation, or advertising systems, including at least 2 years in a leadership or team management role. Proficiency in machine learning, NLP, and deep learning algorithms, with ...

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 … 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 ...

collaborate across teams, while staying grounded in product impact, user experience, and real‐world performance. Nice to have Experience with machine translation, multilingual NLP, efficient long‐context modeling, language quality estimation, or multimodal machine translation. Experience designing evaluation and reward signals using automatic metrics, Model‐as‐judge evaluation … bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world. #J-18808-Ljbffr ...

relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding skills required … least one leading programing language (Python, R, Matlab and/or C++, C#) Experience in exploring large datasets across multiple time frames is a plus Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields Capacity to work with ...

production code. You'll own the full research-to-production lifecycle: from formulating a hypothesis about how to better capture human nuance in a language model persona, through to deploying and monitoring the system that makes it real. Our simulation engine poses hard problems. How do you construct … compose thousands of such personas into a society that reflects real-world diversity and group dynamics? How do you simulate opinion distributions using language models in a way that’s statistically faithful and practically useful? How do you design reward functions that steer model behaviour toward human-faithful outputs ...

JPMorgan Chase is seeking an Applied AI ML Director - NLP/LLM and Graphs within the Machine Learning Centre of Excellence (MLCOE). You will apply advanced ML methods to NLP, graph analytics, speech analytics and time series, collaborating with business, technology, legal, and control partners to deploy production-ready ...

JPMorgan Chase's Chief Data & Analytics Office seeks an Applied AI ML Director - NLP/LLM and Graphs to apply cutting-edge machine learning methods to complex tasks such as NLP, graph analytics, and time-series predictions. You will collaborate with business, technology, product, legal, and compliance teams to deploy ...

Large Language Mode (LLM) Technology Lead/Principal Architect Career Level: Manager/Senior Manager/Associate Director You Are As a Lead or Principal AI Architect, you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will … Generative AI space. Well versed in architecting and operationalizing LLM driven application architecture patterns. Deep experience in engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands‐on experience as a machine architect in the industry designing big data, machine learning and large‐scale analytical engineering ...

London Stock Exchange Group (LSEG) invites a Principal Applied Data Scientist to lead hands-on NLP/LLM initiatives within the LSEG Workspace. You will design, build, test, and deploy production-grade AI solutions used by financial professionals and collaborators across teams. You will work with cutting-edge NLP tooling ...

LexisNexis Intellectual Property Solutions (LNIP) in the United Kingdom seeks a Data Scientist III to shape NLP/LLM-powered features for Protégé in PatentSight. You will design and validate AI-driven capabilities, define agentic IP workflows, and collaborate with engineers to deliver scalable, decision-ready insights. You will lead ...

LexisNexis Intellectual Property Solutions (LNIP) is seeking a Senior Data Scientist I to shape AI-driven capabilities within Protégé for PatentSight. You will design NLP/LLM strategies, define agentic workflows, and drive experiments translating results into scalable, customer-facing features. Collaborate with engineers and IP experts to align models ...

Learning Engineer to build novel ML solutions for customer fintech needs. You’ll lead production deployments, collaborate across teams, and push the boundaries of NLP and LLM-based systems to improve financial health for users at scale. You’ll work with a team of engineers and product focused on real ...

data sources. - are strong in multi-modal modelling across time-series, structured, and categorical data, and comfortable with unstructured free-text notes through clinical NLP and information extraction. - have experience communicating your work to a non-technical and healthcare audience. - You are curious, hungry and constantly push the boundaries … possible - have a PhD in a related field, or equivalent industry experience Bonus points if you - have line-management experience. - have advanced clinical NLP experience, such as RAG, patient summarisation, or Clinical BERT-type models. - have experience evaluating LLMs or generative models in sensitive or regulated settings. - have experience with ...

Lead Applied Scientist | Document Understanding • Search • Information Retrieval | London or Switzerland If you're passionate about pushing the boundaries of NLP, Search and Generative AI, this is an opportunity to work on problems that genuinely haven't been solved at scale. You'll join a world-class AI research organisation … models that rapidly become customer-facing capabilities across multiple AI products. We're looking for scientists with experience in areas such as: NLP & LLMs Information Retrieval/Search Document Understanding Knowledge Graphs Information Extraction PyTorch, Hugging Face, Python Publications in venues such as ACL, EMNLP, NeurIPS, ICLR, SIGIR ...

long-term strategy, including artificial intelligence for Finance, automation and robotics. The ideal candidate has prior experience leading initiatives that harness AI/ML, NLP and GenAI technologies to improve Finance processes, operational efficiency and organizational performance. Key Responsibilities: Strategic Planning and Execution: Develop and execute a comprehensive AI+ strategy … Finance team. Coordinate with internal technology teams, Corporate Finance, and external vendors to implement AI+ solutions effectively. Articulate the potential of AI/ML, NLP, and GenAI tools, helping stakeholders understand their benefits, limitations, and prerequisites (such as data quality) for successful implementation. Monitor project progress, manage risks, and ensure ...

long-term strategy, including artificial intelligence for Finance, automation and robotics. The ideal candidate has prior experience leading initiatives that harness AI/ML, NLP and GenAI technologies to improve Finance processes, operational efficiency and organizational performance. Key Responsibilities: Strategic Planning and Execution: Develop and execute a comprehensive AI+ strategy … Finance team. Coordinate with internal technology teams, Corporate Finance, and external vendors to implement AI+ solutions effectively. Articulate the potential of AI/ML, NLP, and GenAI tools, helping stakeholders understand their benefits, limitations, and prerequisites (such as data quality) for successful implementation. Monitor project progress, manage risks, and ensure ...

J.P. MORGAN is seeking an NLP/LLM Scientist – Applied AI ML Lead to advance the Machine Learning Center of Excellence. You will tackle NLP, LLMs, and recommendation systems with deep learning methods. You will work with Business, Technology, Product, Legal, and Compliance to deploy robust ML solutions in production ...

launching software products, as well as software design and architecture. Experience with different programming languages and a good grasp of at least one language, such as Python. Customer focus with the right … balance between outcome delivery and technical excellence. Ability to apply technical skills and know‐how to solving real‐world business problems. Good understanding of NLP processing. Proficiency in the English language. Preferred Qualifications A background or strong understanding of the retail sector, logistics, and/or e‐commerce. Recent professional ...

ideas. We pursue this mission in two ways: Creating open research spaces that connect people across backgrounds to contribute to cutting-edge ML and NLP research. Expanding access to research training , bringing in fresh voices and perspectives from around the world. About the role As a Senior Research Scientist … fields. Bring expertise or deep curiosity in areas such as: efficiency, optimization, reasoning, multimodality, agentic systems, human–AI collaboration. Have solid machine learning and NLP fundamentals, with experience in shaping and executing original research. Enjoy collaborating across disciplines and geographies. Care about mentoring and supporting the next generation of researchers. ...

Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000 Stocks & Benefits. Owen Thomas is partnering with a high‐growth, venture‐backed InsurTech scale‐up that is disrupting a massive $200 B global market. Using AI they deliver automation that … business from 0 to 1. Requirements 2+ years of commercial experience in AI/ML engineering or applied research. Strong experience working on NLP projects. A proven track record of shipping AI/ML projects from initial concept to live production, driving core business metrics. A passion for high‐velocity ...

decisively when the path forward is unclear. You should apply if... You have deep expertise across a range of ML techniques (e.g. Transformer‐based NLP, Deep Learning, Tree‐based methods, Bayesian modelling) and the judgment to select solutions that balance theoretical soundness against engineering practicality. You have a proven track … team or area, making high‐stakes build‐vs‐buy decisions, and influencing roadmaps beyond your immediate team. You bring mastery of a production‐grade language (e.g. Python, C#, or Go), with a focus on extensible, modular components and a strong instinct for system design. You are a natural ...