351 to 375 of 473 Permanent Natural Language Processing Jobs

real high-DoF hardware (humanoids, mobile manipulators, dual-arm or legged platforms), including coordinating base and manipulator motion. Practical fluency with QP/NLP solvers and their failure modes: conditioning, infeasibility, warm starting, solve-time budgets, and what to do at the limit. Strong dynamic modelling foundations: rigid body kinematics ...

about pushing the edge of intelligence. WELL DONE Master’s or PhD degree in Computer Science, Machine Learning or comparable field. Publications in multilingual NLP, low resource languages or assessment technique. Experience working with annotation vendor management or crowdsourcing data operations at scale. Understanding of tokeniser design and impact … Member of Technical Staff, Visa Sponsorship Jobs UK, UK Visa Sponsorship Jobs, AI Jobs UK, Machine Learning Jobs UK, Software Engineering Jobs UK, Multilingual NLP Jobs, NLP Jobs UK, Machine Learning Jobs, Artificial Intelligence Jobs UK, Data Pipeline Jobs 174 High Street,North London, E6 2JA,United Kingdom #J ...

enrichment pipelines for Elsevier’s life science .com products such as Reaxys, Embase and Pharmapendium. About the Role As Principal Data Scientist (AI/NLP & Generative AI), you will provide technical and thought leadership across multiple data science teams, shaping how we design and deliver advanced AI, NLP, and generative … will be occasional, on high priority or high risk work. Responsibilities Technical Direction & Oversight Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies, and knowledge ...

enrichment pipelines for Elsevier’s life science .com products such as Reaxys, Embase and Pharmapendium. About the Role As Principal Data Scientist (AI/NLP & Generative AI), you will provide technical and thought leadership across multiple data science teams, shaping how we design and deliver advanced AI, NLP, and generative … will be occasional, on high priority or high risk work. Responsibilities Technical Direction & Oversight Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies, and knowledge ...

Company: Faculty Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom #J-18808-Ljbffr ...

Computer Science, Data Science, Engineering, Informatics, or a related field.* Strong hands-on experience building and deploying AI/ML/DL/NLP/LLM systems in production environments.* Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI Codex, Claude Code).* Experience … Epic or Cerner).* Experience building commercial software products in regulated environments.* Publications or research experience in AI/ML/DL/NLP/LLM or biomedical informatics.* Startup or scale-up experience.## Perks and Benefits* Flexible working hours.* Benefits include private medical insurance, life insurance and travel cards. ...

capacity visibility, regular reporting, and leadership of team engagement activities. Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R. Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. … onshore support model. Experience in working with information technology. Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView, etc.). Good knowledge of SQL language and simple analysis techniques to profile data. Technical experience and knowledge in On‐Premise and Public Cloud Data Services focused on database architecture, ETL, data ...

engagement from the D&A team Qualifications Technical Knowledge, Skills and Abilities: Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques … onshore support model. Experience in working with information technology. Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView etc). Good knowledge of SQL language and simple analysis techniques to profile data Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data ...

engineering concepts, plus 5+ years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy). Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real … Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge, human-in-the-loop review, red teaming). Solid grounding in data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems. Experience with AWS Bedrock, SageMaker ...

improves over time. We are looking for a mid-level Data Scientist to join the team that owns business-critical, live solutions utilising Large Language Models (LLMs), such as an email ingestion/extraction solution and underwriting agents. This is not a pure research or offline-modelling role - when … designing experiments, engaging with stakeholders and collaborating with engineers to deliver production solutions. You'll have: Experience working in Data Science, Applied Machine Learning, NLP or LLM-focused roles. Strong Python and SQL skills, with experience working in production codebases and collaborative engineering environments. Hands-on experience evaluating, deploying ...

frameworks. Must also have each of the following: Demonstrated experience working with Python for backend development, data processing, and machine learning or NLP workflow implementation. Demonstrated experience with developing backend service with Java or equivalent object-oriented programming language. 3 years of demonstrated frontend development experience with JavaScript … using Elasticsearch. 2 years of demonstrated experience integrating LLM APIs and RAG pipeline frameworks, including Langchain, into production AI applications. Demonstrated experience working with NLP techniques including named entity recognition (NER), text classification, and topic modeling, using libraries such as NLTK, SpaCy, or Scikit-Learn. 2 years of demonstrated experience ...

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 … efficient training techniques. Experience fine‐tuning existing reasoning models for specific tasks and behaviors 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 ...

will work with large scientific communities to implement metadata standards, APIs, and project-specific portals. You will contribute to containerised workflows, cloud integration, and NLP-driven data access via MCP servers. Strong Python expertise and collaboration skills are essential. #J-18808-Ljbffr ...

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 ...

Inc., деятельность которой признана экстремистской и запрещена на территории РФ Задачи Develop state-of-the-art machine learning models for real-world problems, including NLP, speech recognition and analytics, time-series predictions, and recommendation systems Collaborate with Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management teams to deploy … Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science; alternatively, an MS with significant industry or research experience in the field Strong background in NLP, LLM, and graph analytics, with hands‐on experience and solid understanding of machine learning and deep learning methods Hands‐on experience building agentic ...

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 ...

Machine Learning Researcher A fantastic opportunity for a Machine Learning Researcher with a strong academic background and a particular interest in Large Language Models. You will help develop practical AI applications, from early research and experimentation through to implementation, working with software engineers to bring ideas into real products. … Researcher/Research Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/ML Scientist/Deep Learning Researcher/NLP Researcher/Research Software Engineer/Python/PyTorch/Large Language Models/LLM/LangChain/LangGraph/AI Agents/Enterprise Search ...

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 ...

learning models or AI solutions, gained through study, projects or early career experience An interest in areas such as predictive modelling, classification, regression, optimisation, NLP or recommendation systems A curious, collaborative approach and strong communication skills, with an eagerness to learn from others It would be helpful if you have … some exposure to Spark or similar data processing tools You may also have some familiarity with DevOps or MLOps tools such as Docker, Terraform or MLflow Ideally, you will have an interest in agile ways of working and CI/CD practices, though this is not essential More information ...

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 ...

loop review where the stakes demand it. Lead Innovation: Push the envelope with cutting‐edge LLM and agentic techniques to solve hard problems in language understanding, extraction, and reasoning. Shape the Product: Collaborate with Product, Design, and Underwriting SMEs to align ML capabilities with product goals and real domain … reliability at scale. What type of person fits the role: Experience: 6+ years in ML/AI, with deep hands‐on expertise in NLP, LLMs/SLMs, and agentic systems. LLMs & Architectures: Hands‐on experience building with OpenAI and Anthropic models/APIs; strong knowledge of LLMs and agent architectures. ...

including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk … machine learning engineering Strong Python engineering skills and experience with modern ML frameworks Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based) Ability to build reproducible training and evaluation pipelines Experience containerising and deploying models (e.g., Docker, Fast API) Solid data and database engineering ...

design, architecture, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions. The role requires deep expertise in LLMs, Agentic AI, NLP, RAG architectures, MLOps, and cloud-native AI platforms on Google Cloud Platform (GCP). The architect will be responsible for defining AI solution strategies, driving … solution architecture, stakeholder management, and hands‐on expertise in modern AI ecosystems Mandatory Skills AI/ML Experiment design and A/B testing NLP and text analytics Generative AI Prompt Engineering AI Agents and Multi-Agent Systems Copilot and Conversational AI development BigQuery Dataflow Cloud Functions GKE Pub/ ...

responsibilities Lead the design, development, validation and deployment support of data science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers and software teams … Good understanding of data engineering, data quality, privacy, ethics and responsible model use. Desirable skills and experience Experience with MLOps, cloud platforms, vector databases, NLP/LLMs or AI-assisted products. Experience mentoring data scientists or setting technical standards within a team. Experience working in consultancy, public sector, regulated ...