151 to 175 of 318 Natural Language Processing Jobs

technical expertise with strategic client engagement. As a Senior/Principal AI Architect, you will: Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions. Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy. Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and More ❯

integrations. Experience across different database architectures (Lakehouse, Relational, Document Store). Familiarity with observability tools, BI platforms (Power BI), or Agile methods. Knowledge of advanced analytics, data science, or NLP techniques. Soft Skills Strong stakeholder management and communication skills, able to bridge technical and non-technical conversations. Excellent problem-solving, attention to detail, and documentation skills. Proven leadership with the More ❯

implementation. ● Experience working on Cloud-native products and services. ● Experience working on AI/Machine Learning or Big Data projects. ● Experience/knowledge of AI in healthcare in particular natural language processing. You Are: ● Someone who enjoys running complex software or infrastructure projects and is comfortable talking to engineers, data scientists and team leads on a day-to More ❯

implementation. ● Experience working on Cloud-native products and services. ● Experience working on AI/Machine Learning or Big Data projects. ● Experience/knowledge of AI in healthcare in particular natural language processing. You Are: ● Someone who enjoys running complex software or infrastructure projects and is comfortable talking to engineers, data scientists and team leads on a day-to More ❯

the company and take ownership of their work. Join the team and create the future of customer experience together. Job Title: Senior Software Engineer: Python Department & Team: Conversational AI - Natural Language Understanding Location: We are open to this person working hybrid from our office in Galway or remote … within Ireland Summary: An exciting opportunity to work and make meaningful contribution to cutting edge conversational ai systems including bots and copilots. Leveraging the latest technologies in ML/NLP including integrations with latest LLM technologies.The team you will join is the heartbeat of language understanding in our chat bot and agent copilot products. In a micro services architecture … RESTful APIs. Demonstrated work within a high performing engineering team as a key technical contributor. Bonus Requirements: Experience with Cloud Services such as AWS. Experience with of NLU/NLP or other ML concepts. Fine-tuning foundational models, prompt engineering for LLMs. Our Benefits: Flexible work schedules and work-from-home options Development and career growth opportunities Excellent pension scheme More ❯

the company and take ownership of their work. Join the team and create the future of customer experience together. Job Title: Senior Software Engineer: Python Department & Team: Conversational AI - Natural Language Understanding Location: We are open to this person working hybrid from our office in Galway or remote … within Ireland Summary: An exciting opportunity to work and make meaningful contribution to cutting edge conversational ai systems including bots and copilots. Leveraging the latest technologies in ML/NLP including integrations with latest LLM technologies.The team you will join is the heartbeat of language understanding in our chat bot and agent copilot products. In a micro services architecture … RESTful APIs. Demonstrated work within a high performing engineering team as a key technical contributor. Bonus Requirements: Experience with Cloud Services such as AWS. Experience with of NLU/NLP or other ML concepts. Fine-tuning foundational models, prompt engineering for LLMs. Our Benefits: Flexible work schedules and work-from-home options Development and career growth opportunities Excellent pension scheme More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

. Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross-validation and Bayesian inference Time-series analysis and NLP SQL database querying and APIs for models Ability to innovate and develop new algorithms where needed. Leadership mindset - fostering technical growth, supporting professional development, and encouraging collaboration. Commercial awareness and More ❯

Science, AI, ML, or a related field. Experience in developing and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or Node.js (willingness to upskill in Node.js/TypeScript). Ability to More ❯

and opportunities in regulated environments. Lead the product vision and roadmap for AI features aligned with agency goals, ethical standards, and technical feasibility. Identify opportunities to leverage AI (e.g., NLP, predictive models, classification, recommendations) to automate processes, enhance eligibility screenings, or assist workers and residents. Develop KPIs and success metrics for AI product components, balancing innovation with regulatory compliance and More ❯

Placement, you may be combining data and analytics with engineering or applications knowledge. We make extensive use of Machine Learning (ML) and Advanced Analytics including Computer Vision; Neural Networks; NLP and advanced statistics as well as working with varied and big datasets. GE Aerospace combines unrivalled strength in the Aviation domain with digital capability to provide business changing outcomes. Our More ❯

frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus More ❯

frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus More ❯

frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus More ❯

frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus More ❯

frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus More ❯