101 to 125 of 318 Natural Language Processing Jobs

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 ❯

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 ❯

skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer More ❯

or QlikSense Good understanding of data modeling concepts Experience manipulating and wrangling large datasets Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the More ❯

s or Master's in Computer Science, Data Science, AI/ML, Statistics or a related quantitative field; PhD preferred Hands-on experience with generative AI methods, deep learning, natural language processing or reinforcement learning Proven track record applying AI and ML to solve complex business problems, ideally in marketing, advertising or e-commerce Strong proficiency in More ❯

have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client … GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and … to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance More ❯

visualization tools, computing platforms, and applications such as: Juptyer, Elasticsearch, DataBricks, Apache Zeppelin, Kibana, and/or Tableau • Experience supporting the development of AI/ML algorithms, such as natural language processing in a production environment • Experience configuring and utilizing data management tools, such as Hadoop, MapReduce, or similar. • Ability to translate complex, technical findings into an More ❯

Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and More ❯

Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and More ❯

Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and More ❯

Proficiency in Python, Spark, SQL, and other data analysis and visualization tools and frameworks, such as Tableau, Power BI, or Splunk Experience in applying machine learning, artificial intelligence, and natural language processing techniques to solve real-world problems Excellent communication, presentation, and storytelling skills, along with the ability to explain complex technical concepts and results to non More ❯

AWS Sagemaker required Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition. Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch. Familiarity with GenAI technology stack … applications, and LLM fine-tuning Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications Experience training and maintaining large language models Experience with production-grade development, integration and support Experience and familiarity presenting to technical and business audiences Where permitted by applicable law, must have received or be willing More ❯

ensure AI systems are reliable, maintainable, production-ready and can be readily adapted to future developments. • Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance. • Collaborate closely with product, design, and other engineering teams to scope work … and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. • A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine-tuning. • Strong software engineering foundations such as version control, unit/integration testing, CI/ More ❯

passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. About the Role Lead Applied Scientists are experts in NLP/IR/ML/GenAI, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and … of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience, 7+ years of hands-on experience building NLP/IR systems for commercial applications, Experience writing production code and ensuring well-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and More ❯

skills with Python & Jupyter, as well as HTML to help maintain previous web page build. Evaluate and help enhance content analytics for machine translation systems using modern methods. Evaluate Natural Language Processing software to see which works best on customer datasets. Play an integral role in the development of an ML ops framework for cyber incident detection. … techniques, and methods to gather, analyze, design, and construct new processes for modeling and interpreting trends, relationships, and correlations among or within data sets. Deliver data visualizations, analytics, and processing capabilities. More ❯

Emplifi, YouTube Analytics). Good practical understanding of one or more data visualisation tool, such as Tableau or Power BI. Good practical understanding of one or more data scripting language, such as Python or SQL. Understanding of digital media trends across global markets and platforms. DESIRED BUT NOT REQUIRED Experience working with data science teams on Machine Learning or … Natural Language Processing projects. Familiarity with research methodologies (e.g. surveys, focus groups, user testing). Knowledge of statistical concepts (e.g. sampling, significance testing, regression). Experience in international research or analytics outside UK/US audiences. Passion for global news and current affairs. If you can bring some of these skills and experience, along with transferable strengths More ❯

regulatory intelligence. We give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. More ❯

regulatory intelligence. We give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. More ❯

regulatory intelligence. We give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. More ❯

regulatory intelligence. We give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. More ❯