401 to 425 of 517 Natural Language Processing Jobs

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 ...

Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing … Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. ...

Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing … Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. ...

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 are deeply involved in enhancing … Publications in top‐tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV) Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV) Soft skills: Excellent communication and presentation skills Strong collaboration and teamwork skills Passion for AI and problem‐solving Bonuses: Industry experience Experience ...

expertise with Microsoft Fabric and Databricks Advanced Python and SQL skills, with PySpark desirable Experience building data pipelines and machine learning models Knowledge of NLP, entity resolution, or document processing is advantageous Strong communication skills and commercial awareness ...

team delivering secure, scalable software solutions across multiple domains and leveraging AI-assisted development tools. The role emphasizes production-grade Python systems, ML/NLP workflows, large datasets, and collaboration with CI/CD, data engineering, and security practices. Hybrid or on-site arrangements may apply. #J-18808-Ljbffr ...

Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs ...

that enable safe and efficient use of Generative AI at scale. We create services, applications and libraries that power the use of Intelligent Document Processing to drive real-world business impact. The Role This is a senior role within a deliberately flat team structure. You will be expected … require novel solutions but are constrained by regulatory and compliance requirements. Experience building production systems for one or more of: document/data extraction, NLP‐based classification, machine translation, fraud or anomaly detection, or workflow automation. Experience evaluating the performance of Generative AI applications – exposure to Mlflow, experiment design, evaluation ...

intensive applications operating at scale. Develop Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real‐time services using messaging, queues, asynchronous processing and distributed workflows. Build Systems for AI Agents: Develop the production software required to run increasingly agent‐driven AI workflows, including state management, task … Kubernetes/EKS, ECS, Docker, RDS/PostgreSQL and S3. Productionise AI Workloads: Work closely with our AI engineers to deploy and operate NLP, LLM and quantitative‐model workloads, including workloads using our in‐house GPU infrastructure. Own Software Through to Production: Take responsibility for testing, deployment, performance, monitoring ...

solutions company empowering the world’s most trusted enterprise AI. Our proprietary Cultural Intelligence Layer, powered by 250,000 data specialists, cultural and language experts and deep domain professionals, backed by 45+ patents, makes enterprise AI culturally fluent, contextually accurate and secure, ensuring every interaction reflects a brand … mentoring other engineers. Comfort with ambiguity and the judgment to scope, prioritize, and sequence high‐impact work with limited direction. Preferred Deep experience evaluating NLP, machine translation, or content‐generation systems, including metrics such as COMET, chrF++, BLEU, MetricX, and MQM‐style human evaluation. Experience with experimentation and observability tooling ...

Permutable, we’re building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious startup, you’ll work directly with … software systems – develop scalable backend services and APIs that power our AI-driven applications. Develop & Optimise data pipelines – implement efficient, reliable systems for ingesting, processing, and serving financial data. Engineer Cloud-Native Solutions on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments with GitHub Actions & Pulumi. ...

values trust, respect, collaboration, agility, and quality.About the RoleIn 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 … customer needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation.ResponsibilitiesSet 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 ...

anomaly detection. You need to know the concept and be handy with the most common libraries Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. Develop Monitoring Systems: Create and support robust models for monitoring. Support and Innovate: Assist with a long … with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. Infra: Deep Knowledge of Docker, Git, cloud networking ...