501 to 525 of 592 Natural Language Processing Jobs

closely with our customers to iterate, experiment, and prototype solutions for their business challenges. This role will require a strong consultative approach coupled with critical thinking and hands-on NLP and GenAI (RAG) expertise. You'll be a key member in this team, with significant customer exposure, taking them on the journey from early adoption through to scale. You'll … and credibility will be key. Skills And Experience Required 1+ years of focused LLM/GenAI and RAG project experience, preferably in a leadership role; A data science background. NLP experience is key; Fluent in Python, and able to rapidly and independently prototype and develop code, as well as deliver production-quality; Experience in some of the Azure data services More ❯

Role Overview : The position is titled Markets Intelligence Specialist. This is a dynamic, hands-on role that covers the entire end-to-end business information and data workflows from discovery through production deployment. As a member of a globally located More ❯

documented and well-tested software in the AI/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 discovery and … data (e.g. genomics, transcriptomics, proteomics), or 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 and products Some experience More ❯

documented and well-tested software in the AI/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 discovery and … data (e.g. genomics, transcriptomics, proteomics), or 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 and products Some experience More ❯

documented and well-tested software in the AI/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 discovery and … data (e.g. genomics, transcriptomics, proteomics), or 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 and products Some experience More ❯

documented and well-tested software in the AI/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 discovery and … data (e.g. genomics, transcriptomics, proteomics), or 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 and products Some experience More ❯

documented and well-tested software in the AI/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 discovery and … data (e.g. genomics, transcriptomics, proteomics), or 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 and products Some experience More ❯

documented and well-tested software in the AI/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 discovery and … data (e.g. genomics, transcriptomics, proteomics), or 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 and products Some experience More ❯

documented and well-tested software in the AI/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 discovery and … data (e.g. genomics, transcriptomics, proteomics), or 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 and products Some experience More ❯

documented and well-tested software in the AI/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 discovery and … data (e.g. genomics, transcriptomics, proteomics), or 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 and products Some experience More ❯

to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on … to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced … for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning More ❯

automation, digital workforce, data models, data transformation logic, and action flows using tools like Red Hat Ansible, HashiCorp Terraform, and IBM RNA Leverage AI/GenAI, AI Operations, and NLP to enhance automation Translate IT processes into automated solutions that optimize service delivery, generate documentation, and facilitate changes Understand the operational aspects of IT automation tools and technologies, including network … Degree Required technical and professional expertise Strong foundation in IT automation principles and tools (Red Hat Ansible, HashiCorp Terraform, IBM RNA) Exposure to AI/GenAI, AI Operations, and NLP concepts Experience with AWS data engineering and CI/CD practices Good understanding of AWS services Contribution to batch analytics, Python, and data engineering efforts Familiarity with Prometheus, Grafana, Nagios More ❯

automated pipelines using Python , AWS , and Docker to clean, validate, and standardise speech data, detecting duplicates, transcription inconsistencies, or quality issues. Develop and integrate APIs to streamline ingestion and processing of new datasets. Analyse speech datasets to support ASR and TTS model development, performance evaluation, and linguistic research. Implement and manage data version control tools to ensure dataset reproducibility … and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data processing, analysis, and automation. Proficiency with SQL for developing and managing large-scale datasets. Experience with AWS cloud services. Hands-on … experience with Docker and containerised development environments. Familiarity with data versioning tools (e.g., LakeFS, DVC) and dataset reproducibility principles. Strong collaboration and communication skills. Background in speech, audio, or NLP data processing is highly desirable. Interview Process 30-minute video call with the team lead Take-home technical exercise 90-minute face-to-face interview About ConnexAI ConnexAI is More ❯

automated pipelines using Python , AWS , and Docker to clean, validate, and standardise speech data, detecting duplicates, transcription inconsistencies, or quality issues. Develop and integrate APIs to streamline ingestion and processing of new datasets. Analyse speech datasets to support ASR and TTS model development, performance evaluation, and linguistic research. Implement and manage data version control tools to ensure dataset reproducibility … and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data processing, analysis, and automation. Proficiency with SQL for developing and managing large-scale datasets. Experience with AWS cloud services. Hands-on … experience with Docker and containerised development environments. Familiarity with data versioning tools (e.g., LakeFS, DVC) and dataset reproducibility principles. Strong collaboration and communication skills. Background in speech, audio, or NLP data processing is highly desirable. Interview Process 30-minute video call with the team lead Take-home technical exercise 90-minute face-to-face interview About ConnexAI ConnexAI is More ❯

automated pipelines using Python , AWS , and Docker to clean, validate, and standardise speech data, detecting duplicates, transcription inconsistencies, or quality issues. Develop and integrate APIs to streamline ingestion and processing of new datasets. Analyse speech datasets to support ASR and TTS model development, performance evaluation, and linguistic research. Implement and manage data version control tools to ensure dataset reproducibility … and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data processing, analysis, and automation. Proficiency with SQL for developing and managing large-scale datasets. Experience with AWS cloud services. Hands-on … experience with Docker and containerised development environments. Familiarity with data versioning tools (e.g., LakeFS, DVC) and dataset reproducibility principles. Strong collaboration and communication skills. Background in speech, audio, or NLP data processing is highly desirable. Interview Process 30-minute video call with the team lead Take-home technical exercise 90-minute face-to-face interview About ConnexAI ConnexAI is More ❯

automated pipelines using Python , AWS , and Docker to clean, validate, and standardise speech data, detecting duplicates, transcription inconsistencies, or quality issues. Develop and integrate APIs to streamline ingestion and processing of new datasets. Analyse speech datasets to support ASR and TTS model development, performance evaluation, and linguistic research. Implement and manage data version control tools to ensure dataset reproducibility … and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data processing, analysis, and automation. Proficiency with SQL for developing and managing large-scale datasets. Experience with AWS cloud services. Hands-on … experience with Docker and containerised development environments. Familiarity with data versioning tools (e.g., LakeFS, DVC) and dataset reproducibility principles. Strong collaboration and communication skills. Background in speech, audio, or NLP data processing is highly desirable. Interview Process 30-minute video call with the team lead Take-home technical exercise 90-minute face-to-face interview About ConnexAI ConnexAI is More ❯

documented and well-tested software in the AI/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 discovery and … large team. Our leaders will be committed to your career and development from day one. Key Responsibilities Define and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high … of working (e.g. git/GitHub). Preferred Qualifications 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). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness More ❯

documented and well-tested software in the AI/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 discovery and … large team. Our leaders will be committed to your career and development from day one. Key Responsibilities Define and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high … of working (e.g. git/GitHub). Preferred Qualifications 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). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness More ❯

have Experience working in lean data teams with high ownership cultures Background in B2B SaaS or operational domains (e.g. logistics, supply chain, workforce planning) Exposure to LLMs or modern NLP approaches (not a core part of this role, but useful context) What you'll get in return Competitive salary range Meaningful equity, at Nory everyone is an owner! 35 days … the interview process. Company Nory Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Classification, Industry, Ireland, Machine Learning, NLP, Predictive Analytics More ❯

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 ❯

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 ❯