1 to 25 of 302 Natural Language Processing Jobs

world-class peers. Take the next step in your career. The role G-Research is seeking a Natural Language Processing (NLP) Researcher to join a successful, experienced and growing research group. Alongside NLP experts and quantitative researchers, you will work on very large text corpora, using … latest NLP techniques and state of the art Large Language Models (LLM), with the goal of identifying features of real time text feeds that can we used to predict the future behaviour of financial markets. Who are we looking for? The ideal candidate will have the following skills ...

curious and open-minded undergraduate or Master’s student with an interest in software engineering and technologies like Cloud Computing, Machine Learning, Natural Language Processing, Generative AI and AI Agents? Then come and apply your skills and passion for technology at Thomson Reuters TR labs/… will be part of a diverse and interdisciplinary global team of experts. You will work with AI practitioners in Machine Learning, Information Retrieval, and Natural Language Processing, as well as Engineering and User Experience Design specialists to drive the company’s digital and AI transformation. TR Labs ...

technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/… Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale solutions. Partner with senior leadership to define ...

/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development … complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g. ...

help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances … technology of Machine Learning and Artificial Intelligence. Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/Audio). Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. Contribute to research that can be applied ...

Reuters’ core Risk and Fraud products, including CLEAR , CLEAR Adverse Media , and CLEAR Risk Inform . About The Role Applied Scientists are experts in NLP and Machine Learning, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage model training and evaluation design, graph … customers’ needs. Provide input on project objectives and goals. Communicate effectively with stakeholders. Partner with Engineering to ensure well-managed software delivery. Be an NLP expert with experience in the end-to-end AI development life cycle. About You You’re a fit for the role of Applied Scientist ...

time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings … join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python ...

handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/… frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

primary Tungsten Automation solutions and offerings AI and ML Capabilities: Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction, and decision-making workflows Programming and Development: Apply relevant programming skills (e.g., Python, Java … related field, with a focus on enterprise-scale implementations Deep AI expertise with technical understanding of AI/GAI technologies, including LLMs, machine learning, NLP, and computer vision, and their application in business automation Platform knowledge with strong technical knowledge of the TotalAgility platform or similar intelligent automation platforms Integration ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

appropriate methodology, avoiding a one-size-fits-all approach. Proven experience in areas such as recommendation systems, personalization, natural language processing (NLP), or semantic search. Expert-level programming skills in Python, with deep, hands-on experience using data science and ML libraries such as Pandas, Scikit-learn … TensorFlow, or PyTorch. Experience with data storage technologies (e.g., SQL, NoSQL, Key-value) and their scaling characteristics. Experience with large-scale data processing technologies (e.g., Spark, Beam, Flink) and associated patterns (Batch vs. Stream), with a deep understanding of when to use them. Experience using cloud platforms (e.g. ...

domains Serve as the trusted technical advisor for customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring What We Look For 5+ years of experience in a customer-facing technical role. Pre-sales or post …/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI Graduate degree ...

Learning Model training/explanation, bias detection, evaluation metric analysis Deep Learning Neural net architecture design, backpropagation walkthroughs Natural Language Processing (NLP) Text classification, summarization, sentiment analysis Computer Vision Image labeling, object detection, image captioning MLOps/Deployment Model lifecycle support, pipeline design, monitoring/rollback flows ...

Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies ...