1 to 25 of 317 Natural Language Processing Jobs

Engineer, you will contribute to designing, developing, and implementing AI-driven solutions. Daily tasks include building and optimizing machine learning models, applying natural language processing techniques, and enhancing pattern recognition systems. You will collaborate with cross-functional teams to identify challenges and implement innovative solutions tailored … Qualifications Strong expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills Ability to work collaboratively within a hybrid environment Bachelor's or Master's degree ...

Engineer, you will contribute to designing, developing, and implementing AI-driven solutions. Daily tasks include building and optimizing machine learning models, applying natural language processing techniques, and enhancing pattern recognition systems. You will collaborate with cross-functional teams to identify challenges and implement innovative solutions tailored … Qualifications Strong expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills Ability to work collaboratively within a hybrid environment Bachelor's or Master's degree ...

Machine Learning Research Engineer - NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine … leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning/AI Excellent academics throughout including ...

building intelligent conversational agents. In this role, you will be at the forefront of innovation, leveraging technologies such as Vertex AI Agent Builder, large language models (LLMs), retrieval-augmented generation (RAG), LangChain, and LangGraph to develop cutting-edge conversational solutions on the Google Cloud platform. Responsibilities Design, develop … English, both spoken and written Additional Information Experience with Google Cloud Platform and its AI services Knowledge of natural language processing (NLP) techniques Experience developing applications with Google LLMs (e.g. PaLM) Google Cloud certifications Contributions to open-source projects related to generative AI or conversational agents ...

Solutions Engineer (Natural Language Querying) | Leeds/London UK | £70,000 - £80,000 + Benefits The Company Our client is a leading global supply chain organisation that is shaping the future of data-driven intelligence for some of the worlds biggest retail and FMCG companies. They are committed … This is no ordinary Solutions Engineer role, this would suit a presales engineer or vendor solutions engineer or architect with skills and experience in Natural Language Processing and LLM based products. Specifically, you will play a key role in enabling advanced AI/LLM capabilities and driving ...

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 ...

role: Design, develop, and deploy machine learning models for predictive analytics, classification, clustering, and recommendation systems. Utilize Natural Language Processing (NLP) and Large Language Models (LLMs) for text analysis, sentiment analysis, and generative AI applications. Build and maintain production-grade ML pipelines using CI/… libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch . Hands-on experience with ML algorithms and deep learning architectures. Expertise in NLP techniques and frameworks, familiarity with LLM fine-tuning and deployment. Knowledge of big data technologies and cloud platforms. Strong understanding of MLOps practices, CI/CD pipelines ...

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 ...

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 ...

enjoys working closely with clients, running workshops, delivering innovative projects who has an interest in learning more about Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI. Professional Services Engineer The role: Youll be responsible for configuring, deploying, and commissioning advanced applications, ensuring projects ...

risk insights. You will mine data to find behavioural signals—such as spending volatility or income stability—that predict affordability, repayment, and fraud risk. NLP & Entity Resolution: Use classic NLP techniques (fuzzy matching, named entity recognition) to normalise, cleanse, and match and consumer identity data at scale. Generative AI & Explainability … clusters without needing a pre-defined hypothesis. Explainability: Experience using SHAP or similar frameworks to explain model outputs. Natural Language Processing (NLP): Entity Matching: Experience with deduplication, record linkage, or entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour ...

risk insights. You will mine data to find behavioural signals—such as spending volatility or income stability—that predict affordability, repayment, and fraud risk. NLP & Entity Resolution: Use classic NLP techniques (fuzzy matching, named entity recognition) to normalise, cleanse, and match and consumer identity data at scale. Generative AI & Explainability … clusters without needing a pre-defined hypothesis. Explainability: Experience using SHAP or similar frameworks to explain model outputs. Natural Language Processing (NLP): Entity Matching: Experience with deduplication, record linkage, or entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour ...

deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data pipelines and model … NumPy, Pandas, Scikit-learn). Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop ...

Requirements Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in: Natural Language Processing (NLP), information extraction, and working with large language models (LLMs) Python programming and major ML frameworks such as PyTorch or TensorFlow MLOps practices including containerisation ...

technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. ...

technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. ...

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 ...

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 ...

need of a DV cleared Application Developer with expertise in Python, PyTorch, Data Handling , Large Language Model … GitHub, Linux CLI, Docker and Kubernetes. Any additional knowledge of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) is highly desirable. Working with our UK Central Government client you will be part of a brand-new project foc click apply for full job details ...

need of a DV cleared Application Developer with expertise in Python, PyTorch, Data Handling , Large Language Model … GitHub, Linux CLI, Docker and Kubernetes. Any additional knowledge of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) is highly desirable. Working with our UK Central Government client you will be part of a brand-new project focusing on blue sky dev work. ...

focus on scalable AI frameworks, including Retrieval-Augmented Generation (RAG) architectures. Apply expertise in AI model tuning, optimization, and the fine-tuning of large language models. Work within structured delivery frameworks (Agile/Waterfall), contributing to the full software development life cycle (SDLC). Produce comprehensive technical documentation … advanced analytics tools, and AI/ML functionalities. Demonstrable project experience with AI technologies such as Generative AI, Natural Language Processing (NLP), AI agents, and machine learning. Strong understanding of the SDLC and experience with methodologies like Agile and tools such as JIRA. Excellent communication, interpersonal ...

this role due to security clearance requirements Both SQL (e.g. MS SQL, Oracle...) and NoSQL skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills … e.g. ETL, ESB, API...) Development skills, e.g. Python Big data technologies knowledge, e.g. Hadoop stack Containerization experience, e.g. Docker, Kubernetes Understanding of generative AI, NLP (Natural Language Processing) or OCR (Optical Character Recognition) Experience in the industrial and/or defence sector would be extremely desirable ...

Design, develop, test, and maintain scalable user interfaces using React and TypeScript, and REST API services using Node.js Lead the integration of AI, large language models, natural language processing and agentic capabilities into production services Ensure systems are reliable, secure, and performant in cloud environments Collaborate ...

production support of the application. Required Skills/Experience The ideal candidate will have the following: Strong experience in Document AI/Intelligent document processing using traditional models and Generative AI - particularly in using open source models for achieving business outcomes. Experience delivering to production in Python, with … focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience ...

machine learning models into production environments Work with structured and unstructured data at scale Build and optimise models across areas such as predictive analytics, natural language processing, computer vision, or generative AI Collaborate with software engineers to integrate models into live applications Monitor, evaluate, and improve model … Desirable Experience Experience with Generative AI or large language models Exposure to tools such as Hugging Face, MLflow, Kubeflow, or similar Knowledge of NLP, computer vision, or recommendation systems Experience working in agile or product-led environments Whats on Offer Competitive salary and benefits package Hybrid or remote working ...