226 to 250 of 287 Natural Language Processing Jobs

Responsibilities Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets … with user needs. Qualifications Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques ...

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 … efficient training techniques. Experience fine‐tuning existing reasoning models for specific tasks and behaviours without degrading their reasoning capabilities. Experience with machine translation, multilingual NLP, or language quality estimation. Familiarity with inference and serving at scale (e.g. via vLLM, SGLang, TensorRT‐LLM, etc) and long‐context modelling. Publications ...

platforms. The role involves code development, deployment, and ongoing optimization to impact consumer experiences. The ideal candidate has solid experience in search technologies, NLP, and English proficiency, with a customer-focused approach and strong technical acumen. #J-18808-Ljbffr ...

traffic efficiency across JD.com’s global e-commerce growth. You will design and optimize models, evaluate experiments, and stay ahead of ML/NLP developments while collaborating with product, engineering, and business colleagues in a fast-paced #J-18808-Ljbffr ...

navigating evolving mainstream AI models and algorithm trends, skilled in discerning nuanced requirements for the chip layer. Mastery in technical problem‐solving, especially in NLP and large‐scale AI models, able to pinpoint and resolve bottlenecks. Pioneers in strategic development and innovation, guiding planning and architecture for cutting‐edge chip ...

/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug … pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models ...

improvement initiatives. Desirable: Microsoft Azure experience. Experience deploying and supporting AI/ML applications in production environments. Exposure to Large Language Models (LLMs), NLP, or agent-based systems. Experience with observability and monitoring tools such as Sentry , Prometheus, Grafana, or similar platforms. Strong Docker and multi-container application architecture ...

along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands‐on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems … search, retrieval‐augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management ...

best practices, standards, and culture of the company. What we are looking for: Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency … data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment ...

best practices, standards, and culture of the company. What we are looking for: Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency … data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment ...

Responsibilities Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets … with user needs. Requirements Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques ...

codebases. Hands‐on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. Strong software‐design instincts: testing, code review, CI/CD. Self‐starter, low‐ego, collaborative. Benefits … membership 🥕 Meal voucher: £200 monthly allowance for meals 💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer) Tagged Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom Senior (5+ years of experience) #J-18808-Ljbffr ...

specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We own the entire pipeline including … tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV, AAMAS, ...) Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV) Experience with large-scale distributed training and inference (multi-node, large models, MoE, parallelism strategies, etc) Experience training models for computer use or other multi ...

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 … 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 ...

Senior NLP Engineer Job Description: Theta Lake is the only communication compliance vendor directly financially backed by the leaders in unified communications including funding by Zoom, Salesforce, RingCentral, and Cisco as well as Wells Fargo and tier 1 venture firms including Battery, Lightspeed, and Neotribe.Theta Lake is also the only … solve their communication capture, archiving, proactive compliance risk detection, and surveillance needs. Read more: https://thetalake.com/The Position As Senior NLP Engineer you’ll be part of Theta Lake’s Data Science team, building and improving the models and pipelines that turn messy, multi-modal communication into ...

like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code … following areas: MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Data Engineering: including platforms like Databricks for data processing and analytics Building a truly diverse, equitable ...

agentic systems from prototype to production, with a strong understanding of infrastructure, authentication, and observability Delivered on high‐stakes consulting engagements across multiple language paradigms, stacks, ecosystems, and client industries Built high‐quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients … embracing new tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy systems with short and long‐term business needs ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

enterprise use.**Analytics, AI and Agentic Strategy Prioritisation**• Prioritise data access, tooling and platform capabilities required to support advanced analytics, AI/ML, NLP, intelligent automation and agentic strategies for the group.• Identify opportunities to deploy production-grade analytics and AI-enabled solutions that improve decision-making, risk transparency, operational … modelling, semantic layers, canonical data views, data catalogues, data quality, lineage, metadata, critical data elements and data governance frameworks.• Understanding of AI/ML, NLP, intelligent automation, agentic AI concepts or production-grade analytics, with the ability to distinguish credible business use cases from experimentation.• Proven ability to translate abstract ...

biological/scientific data (e.g. genomics, transcriptomics, proteomics) or pharmaceutical work is beneficial Knowledge of AI/ML deployment-especially language models, NLP or agent-based approaches-is a strong advantage Experience with Docker/containerised applications (including multi-container architecture) is desirable Mentoring/coaching and technical leadership ...

data science and analytical techniques to identify trends and generate insights from biomedical/pharmaceutical data Building and maintaining content analytics pipelines Using AI, NLP, and text-mining approaches to analyse biomedical literature and scientific datasets Supporting the extraction, organisation, and interpretation of scientific information Collaborating with cross-functional stakeholders … technical stakeholders Strong communication and organisational skills as regular interaction with a range of stakeholders is a core part of the job Experience with NLP, machine learning, scientific datasets, or biomedical literature is a significant advantage - preferably gained from working in a pharmaceutical, biotech diagnostics, CRO or consultancy company supporting ...

coding and deployment of enterprise-wide analytic products on structured and unstructured data Implement and manage data pipelines and analytical workloads, ensuring efficient data processing Develop plans, prioritize, coordinate design and delivery of products or features to product release, and serve as a product ambassador within the user community … File System ecosystem tools: Linux, Python, Spark, Hive; and modern data platforms and tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). LLM integration patterns, RAG pipelines, and agentic AI architectures, including MCP server. Domain experience in Credit Risk, Market Risk, Liquidity or Capital. Experience ...

About the Job you are considering: We are seeking a skilled Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and related technologies. The ideal candidate will have experience building scalable AI solutions, integrating foundation models … experience with: LangChain/LangGraph Semantic Kernel OpenAI APIs/Azure OpenAI Hugging Face Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus) Machine Learning fundamentals. NLP concepts and transformer architectures. Model evaluation and observability. Data preprocessing and feature engineering. We are a Disability Confident Employer: Capgemini is proud ...

Senior NLP Engineer This is a high impact Senior NLP Engineer role where you will work on complex, real world communication data at scale. You will own NLP and LLM driven products end to end, helping shape how AI is used to detect and manage risk across large enterprise environments. … innovation in applied AI. You will join a collaborative and experienced engineering and data science team with strong ownership and autonomy. The Role Own NLP and AI solutions from data ingestion through to production deployment Build and improve models that process text, voice, video and image data Develop and apply ...

Large Language Model (LLM) Technology Architect Career Level: Associate Manager/Specialist Location: London YOU ARE As a hands‐on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands … using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning large scale analytical ...