451 to 475 of 517 Natural Language Processing Jobs

research into production — own the path from prototype to deployed model Publish at peer-reviewed venues; contribute to the scientific community in adversarial ML, NLP, and content safety Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems. Basic Qualifications … related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience ...

organisations in more than 170 countries. Its AI Lab explores how generative AI can shape the future of Economist journalism. Задачи Fine-tune large language models for style and tone alignment with The Economist's editorial voice; Design, curate, and manage fine-tuning datasets, including versioning and annotation workflows … Partner with journalists and editors to develop evaluation metrics capturing The Economist's tone and style. Требования 3+ Years of experience building LLM or NLP pipelines; Experience with supervised fine-tuning, prompt tuning, or instruction tuning on proprietary datasets; Strong understanding of fine-tuning paradigms, from SFT to the principles ...

Backed by an international research team and abundant computing resources, the centre focuses on core research directions including multimodal understanding and generation, vision-language large models, and embodied intelligence. This is a permanent, full-time position located in the tech hub of King's Cross, London. Key Responsibilities: Frontier … experience in large-scale model pre-training or fine-tuning High-impact open-source projects or internship experience in leading technology companies within CV, NLP, or multimodal domains #J-18808-Ljbffr ...

automation solutions—from discovery through to delivery and optimisation. Technical & Domain Expertise Hands‐on experience with Intelligent Automation technologies (e.g., RPA, AI/ML, NLP, IDP). Knowledge of on‐premise and cloud architectures. Understanding of business analysis methods such as BPMN and DMN. Awareness of RTA legislation and automation … within sustainability topics. Experience developing technical capabilities within teams. Design solutions across IDP, NLP, ML, RPA, workflow orchestration, and low‐code platforms. Assess client automation maturity and shape strategic roadmaps. Create compelling G2M materials and C‐Suite-level packs, alongside detailed solution architecture. Technical Tools & Platforms Experience with ...

extraction of side effect data from a range of documents. Your role will focus on developing and implementing machine learning and data processing pipelines for the extraction of safety data. The position provides a real opportunity to make a significant impact on a critical problem in drug discovery … global resource which will have a positive impact on research and development of safe drugs You might also have Experience with the application of NLP methods or LLMs to biomedical domain Experience with document and text preprocessing, cleaning and transformation techniques including mapping to ontologies Experience with data structures, data ...

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 ...

RedTech Recruitment is seeking a Machine Learning Research Engineer specializing in NLP/LLM for a Cambridge-based role. You will explore and prototype advanced AI concepts, evaluating new approaches to NLP and related ML problems. The role demands a Ph.D. with strong NLP/ML background, publications, and hands ...

another role, we will reach out about the alternate opportunity. Position Overview:Research statistical techniques such as time-series methods, machine learning and NLP to extract value from dataAnalyze large data sets using advanced statistical and ML methods to identify trading opportunitiesHelp to develop statistical and ML based tools … results with other researchersDeploy and monitor models used to generate trading signals.Required Qualifications:Quantitative background - includes advanced degrees in computer science, machine learning/NLP, statistics, signal processing, optimization, mathematics and related STEM subjects (masters or higher)Demonstrated ability for doing high quality and rigorous research, along with communicating ...

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 ...

data. Collaborate with data scientists, analysts, and software engineers to ensure data availability, quality, and usability. Apply data parsing, extraction, and transformation techniques (e.g., NLP, OCR, image/audio processing). Implement data governance, metadata management, and data cataloging for unstructured data assets. Monitor and optimize data workflows ...

Senior Machine Learning Scientist - REMOTE This is an opportunity to join a high-growth AI SaaS business using NLP and GenAI to transform unstructured customer feedback into actionable business insights. You'll work at the intersection of Machine Learning research and production, developing models that directly influence customer experience … organisations unlock value from large-scale customer feedback data. With strong growth, expanding enterprise clients, and significant investment in AI, they are building innovative NLP and LLM-powered products that drive measurable business impact. The Role You will develop and deploy advanced NLP and GenAI solutions across the full ...

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 ...

RedTech Recruitment is seeking a Machine Learning Research Engineer to explore cutting-edge NLP/LLM approaches in a Cambridge-based role. You will prototype and evaluate novel concepts, bridging academia and industry with a focus on classic ML methods and NLP applications. The position requires a PhD and strong ...

Elsevier is hiring a Senior Data Scientist to design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with large scientific datasets, apply LLM-based approaches, and collaborate across teams to produce production-ready systems with measurable user impact. ...

LexisNexis Intellectual Property Solutions seeks a Data Scientist III to shape NLP/LLM-powered features for Protégé in PatentSight. You will lead experiments, craft agentic AI workflows, and collaborate with engineers to translate findings into scalable, user-facing capabilities. The role emphasizes defining what to build, evaluating advanced analytics ...

Elsevier’s Data Science Life Sciences team seeks a Principal Data Scientist to provide strategic technical leadership across AI, NLP, and generative AI initiatives for knowledge discovery and decision support. You will shape architecture, standards, and governance while contributing hands-on on high-priority work when needed. Lead multiple teams ...

Client in Manchester is seeking an Expert Big Data Scientist with 7–10 years of experience in NLP and large-scale data analysis. You will work in a multidisciplinary, highly technical team to apply scalable data mining and machine learning techniques, including kernel methods and deep learning. Responsibilities include translating ...

Learning Engineer to advance AI in financial services. The role combines research with software engineering to deploy scalable ML products across business lines, leveraging NLP, vision, and statistical ML techniques. You will contribute to building AI-powered solutions, working with data assets to automate decisions and enable faster, more accurate ...

turn data into actionable insights and high-impact AI solutions. You will collaborate with product, engineering and business teams to deliver scalable ML models, NLP and computer vision solutions, while staying current with AI trends and best practices. The role supports flexible working arrangements. #J-18808-Ljbffr ...

with multiple years in a science leadership capacity Proven track record of leading, mentoring, and growing teams of scientists (5+ scientists) Deep expertise in NLP, Computer Vision, or multi-modal learning with demonstrated impact in production systems Strong publication record in top-tier ML/AI conferences (NeurIPS, ICML … EMNLP, CVPR, or equivalent) Experience with large-scale distributed ML systems processing terabytes of data Expert-level proficiency in Python and at least one systems language (Java, C++, Scala) Demonstrated ability to translate ambiguous business problems into well-defined science initiatives with measurable outcomes Preferred Qualifications Experience with ...

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 ...

research into production — own the path from prototype to deployed model - Publish at peer-reviewed venues; contribute to the scientific community in adversarial ML, NLP, and content safetyBasic qualifications- PhD, or a Master's degree and experience in CS, CE, ML or related field- Experience in patents or publications … tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience in building machine learning models for business applicationPreferred qualification - Experience ...

financial industry. 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. Good fundamental crypto knowledge … plus: Crypto specific data sets, DeFi, latency-sensitive, ML/AI or strategies in production. Coding skills required in at least one leading programming language, Python preferred, C++ is beneficial. Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple ...

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 … 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 ...

Informatics currently hosts multiple doctoral training programmes related to the field of AI (including Machine Learning Systems, AI for Dependable and Deployable Robots, Responsible NLP, and Biomedical AI Innovation), through which a successful candidate may recruit funded PhD students, in addition to scholarships available through the School. The successful candidate … this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa. Key dates to note The closing date for applications is 20 October 2026. Unless ...