26 to 50 of 87 Remote Natural Language Processing Jobs

improve customer engagement metrics Skills ● Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit ...

improve customer engagement metrics Skills ● Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit ...

data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong knowledge of scrum practices and agile mindset. Skills & Core competences Strong Analytical and Problem-Solving Skills with attention ...

improve customer engagement metrics Skills ? Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit ...

front end engineers in our expanding innovation development team, and to drive development of an innovative new product that makes use of machine learning, natural language processing, speech recognition and text to speech synthesis to create dynamic, adaptive interactive scenarios for English learning and assessment. Minimum requirements ...

front end engineers in our expanding innovation development team, and to drive development of an innovative new product that makes use of machine learning, natural language processing, speech recognition and text to speech synthesis to create dynamic, adaptive interactive scenarios for English learning and assessment. Minimum requirements ...

forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic ...

forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic ...

join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting-edge Generative AI, LLMs, NLP, and Information Retrieval , building production systems used by global customers. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work … minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering for large-scale Information Retrieval/NLP pipelines. You will: Build and optimise retrieval, ranking, and document processing systems. Implement transformers, embeddings, search pipelines and evaluation frameworks. Deploy and maintain ...

join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting-edge Generative AI, LLMs, NLP, and Information Retrieval , building production systems used by global customers. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work … minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering for large-scale Information Retrieval/NLP pipelines. You will: Build and optimise retrieval, ranking, and document processing systems. Implement transformers, embeddings, search pipelines and evaluation frameworks. Deploy and maintain ...

business insights 🤝 Collaborate with cross-functional teams including analysts, engineers, and product owners to support data-led decision-making 🔍 Explore opportunities in forecasting, optimisation, NLP, and automation using tools like Python, SQL, and modern ML libraries 📐 Contribute to best practices in data quality, documentation, reproducibility, and model governance What ...

business insights 🤝 Collaborate with cross-functional teams including analysts, engineers, and product owners to support data-led decision-making 🔍 Explore opportunities in forecasting, optimisation, NLP, and automation using tools like Python, SQL, and modern ML libraries 📐 Contribute to best practices in data quality, documentation, reproducibility, and model governance What ...

results to stakeholders and executives effectively. Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience ...

development, including production deployment. Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn . Experience working with LLMs, NLP, computer vision, or recommendation systems . Solid understanding of data pipelines, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure ...

deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British ...

deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British ...

deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British ...

Collaborate closely with analysts and stakeholders to deeply understand their workflows and build what matters most. Integrate LLMs (e.g., OpenAI, open-source models) for natural language interfaces, auto-insights, or content summarization. Build intuitive UIs or work with frontend engineers to create React-based apps. Ensure security … data warehouses. Ensure data quality and integrity in all processes. Experience with building backend APIs (FastAPI, Flask) and deploying services. Familiarity with LLMs and NLP concepts, and basic prompt engineering. Ability to build usable UIs with Streamlit, Dash, or collaborate with frontend teams. Strong product sense and empathy for analysts ...

Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

support commercial teams Developing Q&A-style LLM tools inside Databricks Exploring customer satisfaction and review data (e.g., identifying drivers behind quality scores) NLP on large volumes of free-text data Regression and hypothesis testing across product and operational data Theme extraction from defect reports and customer feedback Helping challenge ...

someone who can design and implement scalable ML systems , not just scripts. Responsibilities: Build and deploy production-grade machine learning models (classification, regression, NLP, etc.) Develop reusable ML pipelines using Python and libraries like scikit-learn, PyTorch or TensorFlow Collaborate with cross-functional teams to integrate ML solutions into real ...

Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow ...