276 to 287 of 287 Natural Language Processing Jobs

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 ...

PatentSight. You will define what to build, drive experiments, and translate results into scalable, customer-facing solutions with engineers and IP experts. Role emphasizes NLP, LLMs, and agentic workflows to solve complex IP tasks, with a strong emphasis on collaboration and data-driven decision making. London/UK location preferred. ...

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 ...

NLP PEOPLE in Cambridge is looking for a Machine Learning Research Engineer specializing in NLP and LLM. The role involves researching new concepts for cutting-edge machine-learning software while working alongside a small team. Ideal candidates will have a Ph.D. or relevant degree, expertise in machine learning, and proficiency ...

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 ...

results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. … Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking around architecture and trade-offs. ...

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 ...

NLP PEOPLE is looking for a Machine Learning Engineer to join their team in Central London. This full-time role offers a competitive salary of up to £165,000, with stock options and benefits. The company is in a high-growth InsurTech sector and leverages AI to transform the insurance ...

Research is seeking an exceptional NLP Performance Engineer to own large-scale LLM inference performance within our NLP Engineering team at the London HQ. You will profile, optimise and implement techniques to maximise inference throughput and cost-efficiency, collaborating with researchers and infrastructure engineers to shape scalable tooling and compute ...