1 to 25 of 134 Remote/Hybrid Permanent Natural Language Processing Jobs

into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs … Extract, Transform, and Load (ETL) of large corpus of data into a data lake; Participate in the Natural Language Processing (NLP) extract of unstructured data into structured meta-data through the use of tools such as Semantic understanding and meaning (Python, use of REST API); Support ensuring ...

entire software development lifecycle, designing, building, testing and delivering high-quality solutions. Build Scalable ML Solutions:You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You willdevelophigh performing scalablesystems in the context of large online delivery environments. Be a Team … cloud‐native applications, with familiarity in AWS or Azure (or a related cloud platform) Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Ability to understand and translate between language ...

data for processes and decisions. Provide leadership for large-scale AI, machine learning, and advanced analytics initiatives, including natural language processing (NLP), predictive modeling, record linkage, and synthetic data generation in production environments. Lead and mentor multidisciplinary teams of data scientists and technical staff to deliver enterprise … approximately 40 or more data scientists and technical professionals. Extensive hands-on experience developing, deploying, and scaling production AI/ML solutions, including NLP, predictive analytics, record linkage, synthetic data, and related advanced methodologies. Experience influencing and coordinating work across larger organizations or programs involving 100+ staff is strongly preferred. ...

structured application logic. Design and implement algorithms for evaluating relationship dynamics and generating structured recommendations to improve interpersonal communication. Develop tokenisation and data-processing frameworks that convert natural-language input into structured data for computational analysis. Apply concepts from neurolinguistics, pragmatics, semantics and traditional linguistics … Experience with Git/GitHub and collaborative development workflows. Ability to translate conceptual product ideas into functional software solutions. Understanding of algorithms, structured data processing and natural-language processing concepts. Interest or experience in AI-assisted product development and generative AI tools. Strong analytical and problem ...

Personalisation Engine: Design, build, and maintain production-ready machine learning engines that drive product, directory, and content personalization arrays for our UK community base. Natural Language Processing & Search: Implement large language model (LLM) fine-tuning processes and Retrieval-Augmented Generation (RAG) loops to enrich community forum … digital platform, high-scale marketplace, or SaaS environment. Modern AI Stack: Proven expertise working with Python, deep learning frameworks (PyTorch or TensorFlow), and advanced language processing orchestration environments (Hugging Face, LangChain, LlamaIndex, OpenAI/Anthropic APIs). Vector Storage & SQL: Solid competency configuring and query-optimizing vector databases ...

design, quantization, and deployment of edge-native AI models and knowledge analytics engines. In this role, you will transition state-of-the-art Small Language Models (SLMs) and knowledge graph pipelines into air-gapped, degraded, and bandwidth-constrained tactical hardware. You will ensure all deployed AI capabilities comply with … hardware. Proficiency in Python and PyTorch/HuggingFace ecosystems. Data Structures & Knowledge Processing Solid foundation in natural language processing (NLP), semantic summarisation, and graph-based data structures (Graph DBs, vector embeddings, network analysis). Understanding of data serialization formats (Protobuf, JSON, XML) and streaming analytics. Desirable ...

Cambridge is seeking a Machine Learning Research Engineer to investigate new concepts in machine learning, particularly focusing on Natural Language Processing (NLP) and large language models (LLMs). The ideal candidate will possess a Ph.D. and a strong background in classic machine learning as well ...

Responsibilities**:* Design, develop, and deploy AI/ML and Generative AI solutions using Python.* Build, train, evaluate, and fine-tune machine learning and large language models (LLMs) using frameworks such as PyTorch, TensorFlow, and Keras.* Develop Retrieval-Augmented Generation (RAG) applications using LangChain, Hugging Face, and LlamaIndex.* Implement … Experience implementing Retrieval-Augmented Generation (RAG) frameworks* Knowledge of Vector Databases and Hybrid Search techniques* Strong understanding of Natural Language Processing (NLP) concepts and applications* Experience with data processing, transformation, and feature engineering* Expertise in developing and integrating REST APIs* Proficiency with Git and version control ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing Strong proficiency in designing optimized ELT/ETL pipelines ...

software design principles. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL, NoSQL) and data processing tools (Pandas, NumPy). Soft Skills Excellent … problem-solving skills. Strong communication abilities. Capability to work collaboratively in a team environment. Preferred Skills Experience with natural language processing (NLP) and computer vision techniques. Knowledge of reinforcement learning and deep learning architectures. Familiarity with DevOps practices and continuous integration/continuous deployment (CI/ ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

platform delivering real‐time agent‐assist solutions for customer support across chat, email, and voice channels. Using natural language processing (NLP), machine learning, and large language models (LLMs), Deepdesk extracts knowledge from multiple enterprise systems and delivers conversation insights, summaries, and next‐best actions directly into ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

sound architecture decisions. Demonstrated experience with AI/ML technologies, including LLMs, Retrieval Augmented Generation (RAG), agentic workflows, Natural Language Processing (NLP), and predictive analytics, and the discipline to run them reliably in production. Track record of building on shared enterprise data platforms (for example Snowflake ...

delivery of new SOTA challenger models Tuning and optimising strategies for incumbent models Design and govern the use of Large Language Models (LLM)-as-judge approaches within alert handling processes (evaluation framework, quality controls, bias/robustness testing and auditability) Document model logic, assumptions, limitations and test outcomes … experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring Experience with hyperparameter tuning at scale and experimentation ...

Power BI, Tableau or similar tools to create impactful dashboards and visualise complex data. A solid understanding of Natural Language Processing (NLP), sentiment analysis and the capabilities and limitations of machine learning models. Proven ability to translate complex data and analytics into clear, actionable insights for senior ...

This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs). The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data … experts to design, develop, evaluate, and deploy AI-enabled applications that support research and operational objectives. Fine-tune, adapt, or customize machine learning and language models for domain-specific tasks. Build and evaluate retrieval-augmented generation (RAG) solutions using vector databases and semantic search techniques for data and analysis ...

knowledge of designing and implementing Data Science solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming language for data science (Python, R, etc.) Including best practices using this language to write robust software. An Awareness of data governance and best practices … bachelor’s degree in a STEM field. Desirable skills and experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Understanding of general computer science concepts (test‐driven ...

data management, statistical modeling, machine learning, and computational social science. The position also provides opportunities to apply emerging technologies, including generative AI and large language models (LLMs), to research problems. The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data … operational objectives. Design and implement data products, dashboards, applications, and automated tools that enable data-driven decision making. Apply machine learning, AI, and natural language processing methods and collaborate with multidisciplinary teams to design, evaluate, and deploy AI-enabled analytic applications. Write and implement R, and Python ...

sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software. An understanding of data governance and best practices to ensure data protection. Experience planning technical activities and structuring work … bachelor’s degree in a STEM field. Desirable skills and experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Stay up to date with cutting edge ...