76 to 100 of 320 Natural Language Processing Jobs

you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud More ❯

you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services. - Experience with deep learning, natural language processing, computer vision, or reinforcement learning. - Conveys highly technical concepts and information in written form to technical and non-technical audiences. - The ability to work on More ❯

and usability. • Collaborate with product managers, engineers, and data scientists to align design with business and technical goals. Design & Development Execution • Create wireframes, prototypes, and high-fidelity designs for NLP search interfaces and GenAI-powered workflows. • Develop and implement responsive, accessible, and performant front-end components using React and/or Angular. • Integrate with RESTful APIs and backend services to … enable dynamic data interactions and GenAI capabilities. • Conduct usability testing and iterate designs based on user feedback and analytics. GenAI & NLP Integration • Design interfaces that support natural language interactions, summarisation, and intelligent recommendations. • Collaborate with AI/ML teams to visualise GenAI outputs and integrate them into user workflows. • Translate complex data catalog structures into intuitive user journeys. … enterprise environments, with strong understanding of architectural principles and design patterns. • Strong portfolio showcasing design work for data-intensive or AI-powered applications. • Deep understanding of GenAI concepts, especially NLP search and conversational interfaces. • Hands-on development experience with React and/or Angular, including component architecture, state management, and performance optimisation. • Strong knowledge of API integration, including RESTful services More ❯

and usability. • Collaborate with product managers, engineers, and data scientists to align design with business and technical goals. Design & Development Execution • Create wireframes, prototypes, and high-fidelity designs for NLP search interfaces and GenAI-powered workflows. • Develop and implement responsive, accessible, and performant front-end components using React and/or Angular. • Integrate with RESTful APIs and backend services to … enable dynamic data interactions and GenAI capabilities. • Conduct usability testing and iterate designs based on user feedback and analytics. GenAI & NLP Integration • Design interfaces that support natural language interactions, summarisation, and intelligent recommendations. • Collaborate with AI/ML teams to visualise GenAI outputs and integrate them into user workflows. • Translate complex data catalog structures into intuitive user journeys. … enterprise environments, with strong understanding of architectural principles and design patterns. • Strong portfolio showcasing design work for data-intensive or AI-powered applications. • Deep understanding of GenAI concepts, especially NLP search and conversational interfaces. • Hands-on development experience with React and/or Angular, including component architecture, state management, and performance optimisation. • Strong knowledge of API integration, including RESTful services More ❯

and usability. • Collaborate with product managers, engineers, and data scientists to align design with business and technical goals. Design & Development Execution • Create wireframes, prototypes, and high-fidelity designs for NLP search interfaces and GenAI-powered workflows. • Develop and implement responsive, accessible, and performant front-end components using React and/or Angular. • Integrate with RESTful APIs and backend services to … enable dynamic data interactions and GenAI capabilities. • Conduct usability testing and iterate designs based on user feedback and analytics. GenAI & NLP Integration • Design interfaces that support natural language interactions, summarisation, and intelligent recommendations. • Collaborate with AI/ML teams to visualise GenAI outputs and integrate them into user workflows. • Translate complex data catalog structures into intuitive user journeys. … enterprise environments, with strong understanding of architectural principles and design patterns. • Strong portfolio showcasing design work for data-intensive or AI-powered applications. • Deep understanding of GenAI concepts, especially NLP search and conversational interfaces. • Hands-on development experience with React and/or Angular, including component architecture, state management, and performance optimisation. • Strong knowledge of API integration, including RESTful services More ❯

years of professional experience in Python programming language. Solid understanding of machine learning algorithms, tools, and techniques, such as supervised. and unsupervised learning, transformer models, deep learning, computer vision, natural language processing, etc. Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Ability to work independently and collaboratively with multi-functional teams … ML tools such as Mlflow for model lifecycle management. Experience in building ML models in production using AWS ecosystem, especially ML related services such as SageMaker. Familiarity with large language models (LLM). Proficiency in multiple programming languages. Understanding of containerization technologies like Docker and orchestration tools like Airflow. We've got your back... We offer a range of More ❯

experience building data pipelines and data analyses that interface with large datasets 3 + years of experience using AI models to deliver business value Advanced expertise in machine learning, natural language processing, and/or generative AI Preferred Qualifications: Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python More ❯

team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯

team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯

team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯

team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯

team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯

experience building data pipelines and data analyses that interface with large datasets 3 + years of experience using AI models to deliver business value Advanced expertise in machine learning, natural language processing, and/or generative AI Preferred Skills: Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python More ❯

sexual orientation, gender identity and expression, national origin, disability, genetic information, veteran status, or any other protected characteristic or class Responsibilities include training, hosting, and the optimization of large language model instances within our computing environment Requirements Degree in computer science, artificial intelligence, or a related field 12+ years of experience in software engineering, with a focus on machine … learning or natural language processing Strong expertise in deep learning frameworks such as tensorFlow, pyTorch, or MXNet Proficiency in programming languages such as python, C++, or java Solid understanding of LLM architectures, training techniques, and evaluation methodologies Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services Knowledge of software engineering best practices, including version More ❯

years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯

years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯

years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯

years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯

years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯