526 to 550 of 598 Natural Language Processing Jobs

reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. Develop cutting-edge software and algorithms for computer vision, image processing and deep learning models Have technical responsibility for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Essential Skills Masters … on implementation of state-of-the-art models. 3-D vision Developing with machine learning frameworks – Tensorflow/Pytorch Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI or similar) Experience in Android application development More ❯

ideas and show results Your contributions will be crucial for creating cutting-edge products and carrying out advanced research and development withinOliver Wyman. Notable DNA projects include: Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – click here for more information Exploring novel GenAI architectures and validation methods for customer-facing tools in the … colleagues Familiarity with analytical methods in Python, R, or equivalent tools Strong commitment to teamwork and resilience in a creative and constantly changing environment Excellent command of the English language (verbal and written) You are aged 18 or over at the start of the placement You have the right to work in the UK Interest or experience in financial More ❯

or digital enablement roles, with at least 2 years working with AI tools Hands-on experience with AI-driven platforms like Drift, Conversica, 6sense, and/or LLM/NLP enhancement tools. Crucially, the ability to understand how these tools integrate (data flow, API concepts) is essential, even if they're not building the integrations from scratch. Familiarity with Martech … go-to-market environment Background in change management, enablement, or internal communications Knowledge of AI ethics, compliance frameworks, or responsible AI guidelines Experience designing and optimizing prompts for large language models or generative AI platforms (e.g., OpenAI, Google Gemini, Adobe Firefly), ideally including proprietary in-house models. Familiarity with change management frameworks to effectively manage transitions and drive adoption More ❯

of Conversational AI with ConnexAI As a Data Scientist on the Text-to-Speech (TTS) team, you will shape the voice of ConnexAI, bringing conversational intelligence to life through natural, expressive, and humanlike speech generation. You’ll research, design, and train SOTA TTS models that combine neural acoustic modelling, LLMs, and multimodal learning to produce voices that sound truly … define the future of human–AI interaction. Core Responsibilities Research, design, and train SOTA LLM-based and neural TTS models, combining diffusion, flow-matching, or autoregressive architectures for ultra-natural speech generation. Explore and implement expressive prosody modelling, emotion-conditioned synthesis, and speaker cloning for personalised voice experiences. Develop text–audio alignment and context-aware TTS pipelines that adapt … ensuring low latency and high perceptual quality for live conversational systems. Support deployment of models across ConnexAI’s AI Voice and Conversational AI platforms, ensuring seamless integration with ASR, NLP, and dialogue systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in More ❯

of Conversational AI with ConnexAI As a Data Scientist on the Text-to-Speech (TTS) team, you will shape the voice of ConnexAI, bringing conversational intelligence to life through natural, expressive, and humanlike speech generation. You’ll research, design, and train SOTA TTS models that combine neural acoustic modelling, LLMs, and multimodal learning to produce voices that sound truly … define the future of human–AI interaction. Core Responsibilities Research, design, and train SOTA LLM-based and neural TTS models, combining diffusion, flow-matching, or autoregressive architectures for ultra-natural speech generation. Explore and implement expressive prosody modelling, emotion-conditioned synthesis, and speaker cloning for personalised voice experiences. Develop text–audio alignment and context-aware TTS pipelines that adapt … ensuring low latency and high perceptual quality for live conversational systems. Support deployment of models across ConnexAI’s AI Voice and Conversational AI platforms, ensuring seamless integration with ASR, NLP, and dialogue systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in More ❯

of Conversational AI with ConnexAI As a Data Scientist on the Text-to-Speech (TTS) team, you will shape the voice of ConnexAI, bringing conversational intelligence to life through natural, expressive, and humanlike speech generation. You’ll research, design, and train SOTA TTS models that combine neural acoustic modelling, LLMs, and multimodal learning to produce voices that sound truly … define the future of human–AI interaction. Core Responsibilities Research, design, and train SOTA LLM-based and neural TTS models, combining diffusion, flow-matching, or autoregressive architectures for ultra-natural speech generation. Explore and implement expressive prosody modelling, emotion-conditioned synthesis, and speaker cloning for personalised voice experiences. Develop text–audio alignment and context-aware TTS pipelines that adapt … ensuring low latency and high perceptual quality for live conversational systems. Support deployment of models across ConnexAI’s AI Voice and Conversational AI platforms, ensuring seamless integration with ASR, NLP, and dialogue systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in More ❯

industry-leading state-of-the-art AI/ML solutions. You will guide your team through all aspects of the AI/ML feature life cycle, leveraging expertise in NLP and document understanding. You will be responsible for overseeing the development and deployment of production-level machine learning models that deliver more personalized and automated customer experiences throughout the Docusign … methods and technologies that can be effectively applied to the contract domain Guide the team in applying the latest architectures and technologies to build Docusign IP and solve complex NLP challenges including, but not limited to, generating representations, text understanding, semantic retrieval, contextual extractions, and summarization Foster a deep understanding within the team of the technologies, methods, and architecture within … large scale document understanding models in production Experience with pre-training and/or supervised fine-tuning of transformer-based models using large-scale datasets Experience in the latest NLP techniques including LLMs and language representations Experience in text extraction techniques, especially using OCR and direct extraction from docx, images, and pdfs Strong desire to stay ahead of industry More ❯

and regulatory constraints. Company: ARM Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , Neural Networks , NLP , United Kingdom More ❯

technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure … AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity to join a fast More ❯

technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure … AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity to join a fast More ❯

technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure … AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity to join a fast More ❯

technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure … AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity to join a fast More ❯

technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure … AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity to join a fast More ❯

classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly 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 tail of super important … production services or APIs. Experience 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, and cloud security for services and More ❯

classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly 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 tail of super important … production services or APIs. Experience 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, and cloud security for services and More ❯

or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science … or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science … or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science More ❯

Machine Learning Engineer (LLM) Transform Language Models into Real-World Applications We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid … Bjak Sdn Bhd Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Notes: Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom More ❯

decision-making and problem-solving abilities. Expert understanding of a range of ML techniques (e.g., deep learning, optimization, regression, transformers, large language models, transfer learning etc.), areas (e.g. NLP, RL, classification, recommendations, etc.), and tools (sklearn, pytorch, tensorflow, etc.). Expert in crafting the right architecture for a variety of ML problems from business requirements often identifying where ML … application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights. Location What's the recruiting process like at HubSpot More ❯

position is an individual contributor role reporting to the Director of Engineering. Responsibility Work together with the ML team to perform research, testing and evaluation of existing and emerging NLP/ML/DL methods and technologies that could be effectively applied to contractual/legal Apply NLP techniques in order to maintain and extend the current rule based, supervised … and unsupervised methods Apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction etc. Develop a comprehension of the technologies, methods and the architecture within Docusign product development. Also an understanding of the entire software development end to end process as well as the product code and … computer science, Physics, statistics, econometrics, operations research, applied mathematics or an equal computational field Preferred Demonstrated experience developing and deploying sequence based Deep Learning models Experience in the latest NLP big model technologies like GPT2, BERT, XLNet Experience in Computer Vision Strong desire to stay ahead of industry trends and technologies with a dedication to continuous learning Experience with Machine More ❯

to build tools that make healthcare more efficient, effective, and human. The Role Were looking for a Senior AI/Machine Learning Engineer to design, build, and scale advanced language and machine learning systems at the core of the companys clinical platform. Youll work closely with clinicians, product managers, and software engineers to transform complex healthcare challenges into … robust, data-driven solutions. This is a hands-on role with broad impacttouching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design and implement NLP and ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable … ML systems Contribute to technical strategy, architectural decisions, and mentoring within the ML team What Were Looking For Essential: 4+ years of hands-on experience in AI, ML, or NLP, ideally in a product setting Strong knowledge of large language models (LLMs), embeddings, fine-tuning, and evaluation methods Advanced Python skills and experience with frameworks like PyTorch, TensorFlow, and More ❯

build tools that make healthcare more efficient, effective, and human. The Role We’re looking for a Senior AI/Machine Learning Engineer to design, build, and scale advanced language and machine learning systems at the core of the company’s clinical platform. You’ll work closely with clinicians, product managers, and software engineers to transform complex healthcare challenges … data-driven solutions. This is a hands-on role with broad impact—touching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design and implement NLP and ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable … systems Contribute to technical strategy, architectural decisions, and mentoring within the ML team What We’re Looking For Essential: 4+ years of hands-on experience in AI, ML, or NLP, ideally in a product setting Strong knowledge of large language models (LLMs), embeddings, fine-tuning, and evaluation methods Advanced Python skills and experience with frameworks like PyTorch, TensorFlow, and More ❯

to show practice of commit early and deploy often. 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) If you are available and interested, please apply today! Name More ❯

to show practice of commit early and deploy often. 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) If you are available and interested, please apply today! Name More ❯

to show practice of commit early and deploy often. 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) If you are available and interested, please apply today! Name More ❯

join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their … customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. Implement production-level coding practices, including … Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical More ❯