101 to 125 of 284 Natural Language Processing Jobs

with frameworks such as PyTorch, TensorFlow, and Hugging Face. Experience taking AI proof-of-concepts from idea to production. Strong knowledge of deep learning, NLP, and LLM architectures and experience in fine-tuning LLMs or training domain-specific models, RAG, embeddings, and vector databases. Familiarity with agentic AI concepts ...

with frameworks such as PyTorch, TensorFlow, and Hugging Face. Experience taking AI proof‐of‐concepts from idea to production. Strong knowledge of deep learning, NLP, and LLM architectures and experience in fine‐tuning LLMs or training domain‐specific models, RAG, embeddings, and vector databases. Familiarity with agentic AI concepts ...

Participation in Kaggle or other data science competitions. Experience with MLOps practices (CI/CD, model monitoring, DevOps integration). Familiarity with advanced NLP frameworks such as spaCy or Transformers and exposure to AI technologies including Generative AI or LLMs. MSc or PhD in a numerate discipline. Financial services ...

gathering, expectation management and delivery planning. Desirable Knowledge and practical experience of hospital systems and datasets (where relevant locally). PySpark experience. Experience with NLP and/or computer vision techniques (where relevant to Trust priorities). Experience using deep learning frameworks such as TensorFlow or PyTorch. Personal Attributes Essential ...

mindset with the ability to operate independently and step up into a leadership vacuum when needed. What we prefer you have: Experience with advanced NLP techniques beyond prompt engineering, including fine‐tuning and evaluation frameworks for generative models. Experience working in the (re)insurance industry, with an understanding of underwriting ...

What youll be doing: Design and build scalable data pipelines using Python, SQL, Spark and Databricks. Develop, deploy and optimise machine learning models, including NLP and generative AI solutions. Build data ingestion pipelines across batch and streaming environments. Design data models and implement best practices for governance and data quality. ...

environment. Preferred/Desirable Experience Prior work in forecasting, sports analytics, political modeling, event-driven trading, or market-making/liquidity modeling. Experience with NLP for news/social/media signals; knowledge graphs or information retrieval for event resolution. Knowledge of prediction market mechanics (order books vs AMMs ...

scalable, secure and reliable production environments. We're particularly interested in engineers who have built AI solutions around document intelligence, enterprise search, knowledge management, NLP or Retrieval-Augmented Generation (RAG), rather than purely research-focused AI. Key Responsibilities Design, build and deploy production-ready LLM and Machine Learning solutions using ...

production environments. Strong experience with Google Cloud Platform, particularly Vertex AI, BigQuery, AutoML, and emerging Generative AI technologies. Knowledge of machine learning, deep learning, NLP, MLOps, data pipelines, and cloud-native architectures. experience with Docker, Kubernetes, Python, and modern data platform technologies. Strong communication and stakeholder management skills, with experience ...

preventative fixes. Requirements Strong Python programming skills. Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including ...

preventative fixes.**Requirements:*** Strong Python programming skills.* Direct experience with OpenAI APIs, LLM workflows, and prompt engineering.* Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering.* Experience with Databricks, Spark, and Delta Lake.* Strong SQL skills with experience working on large datasets.* Experience with AWS, including ...

preventative fixes. Requirements: Strong Python programming skills. Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including ...

data, pricing services, scenario generation, or analytics input validation. Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics. CFA, FRM, CQF, or other relevant professional qualification. About S&P Global Market Intelligence At S&P Global ...

data, pricing services, scenario generation, or analytics input validation. Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics. CFA, FRM, CQF, or other relevant professional qualification. About S&P Global Market Intelligence At S&P Global ...

Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning NLP/LLMs knowledge graphs and graph based neural networks AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. … candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. ...

Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. … candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. ...

airline customers to assess AI maturity, operational challenges and transformation opportunities Design AI and machine learning solutions across areas such as automation, predictive analytics, NLP and generative AI Build proof of concepts, prototypes and scalable AI solution architectures Support RFPs, RFIs and technical proposals with clear articulation of AI strategy ...

analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit ...

role. We’d love to see: Bloomberg Terminal, BQL, Enterprise, or Bloomberg data workflow experience. Experience productionizing AI, machine learning, anomaly detection, NLP, classification, or LLM‐assisted workflows. Experience with cloud platforms, CI/CD, automated testing, version control, metadata management, lineage, or modern DataOps practices. Project management experience with ...

Preferred Experience: Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, or related field Experience with GenAI/LLMs and NLP applications Knowledge of regulatory frameworks in financial services (e.g., GDPR, model risk governance) Company Overview At SBS, we’re more than just a technology company ...

other stakeholders. We’d love to see: Bloomberg Terminal, BQL, Enterprise, or Bloomberg data workflow experience. Experience productionizing AI, machine learning, anomaly detection, NLP, classification, or LLM‐assisted workflows. Experience with cloud platforms, CI/CD, automated testing, version control, metadata management, lineage, or modern DataOps practices. Project management experience ...

field — developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value.You will work as part ...

Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise‐scale applications. You have team lead experience Strong collaboration skills with the ability to work ...

optimize data pipelines and ETL workflows for efficient and accurate data movement and transformati on.Apply data science and AI techniques (predictive modelling, clustering, regression, NLP) to uncover trends and enable forecasti ng.Design scalable data models and analytics frameworks to support self-service BI and advanced analyti cs.Collaborate with cross-functional ...

quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit) You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean, production ...