76 to 100 of 899 Natural Language Processing Jobs in London

Technical Lead to join a pioneering AI start up automating the legal side of property transactions worldwide. Our mission is to leverage the latest in Generative AI and Large Language Models, placing us at the forefront of advanced technology in this field. As a Technical Lead, you’ll guide a talented team of AI engineers and software engineers, own … Engineering Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React … Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and inspiring teams. Excellent communication skills and ability to bridge technical and non-technical stakeholders effectively. Brings a startup mindset: positive, adaptable, proactive, and thrives in a fast-paced, evolving environment. Apply Now: Join us to shape the future of legal transactions with More ❯

helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and … productionise machine learning models Work closely with a great programme team - project lead, data scientists and analysts - and interface with client technology counterparts Identify ways to improve data reliability, processing efficiency and quality of our data output Deploy pipelines in cloud environments and develop as a cloud technologist, as our world becomes increasingly reliant on cloud technologies Produce detailed More ❯

modules and applied across clients, with support from senior team members. Pick up new machine learning approaches, such as regularised regression, clustering or tree-based ensembles, graph-based approaches, natural language processing, and neural network techniques, and apply them on client data. Perform exploratory data analysis to characterise and visualise datasets. Extend and develop programming skills, in … based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g., Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas and scikit-learn, along with More ❯

PhD in Computer Science, AI/ML, or related field. Experience with production ML systems and MLOps pipelines using Kubeflow or Vertex AI Pipelines. Knowledge of transformers and large language models (LLMs). Understanding of recommender systems, natural language processing, or graph-based search engines. Contributions to open-source ML libraries or published research in AI More ❯

environments. Background in Agile methodologies and delivering incremental software solutions. Bachelor’s degree in a STEM field. Desirable Skills and Experience Experience in professional services or consultancy. Experience with natural language processing and generative AI applications. Knowledge of computer science fundamentals. Ability to collaborate across multiple projects and teams. Strong communication skills for stakeholder engagement. Master’s More ❯

projects working alongside high-performing ML, data, and software engineers using agile software development Demonstrable ML proficiency with a deep understanding of how to utilize state-of-the-art NLP and ML techniques Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch Extensive experience with Python and PyTorch Track record of contributing … development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture Experience with graph machine learning (i.e. graph neural networks, graph data … eye for details such as scalability and performance of a potential solution Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python Experience with data manipulation and processing, such as SQL, Cypher or Pandas A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will More ❯

Experience: Proven experience as a Product Owner or similar role, preferably in the AI or Generative AI space. Strong understanding of AI and Generative AI technologies, including machine learning, natural language processing, and computer vision. Excellent communication, presentation, and interpersonal skills, and the ability to work effectively with diverse and cross-functional teams. Strong analytical, problem-solving More ❯

helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and More ❯

projects working alongside high-performing ML, data, and software engineers using agile software development. Demonstrable ML proficiency with a deep understanding of how to utilize state-of-the-art NLP and ML techniques. Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch. Extensive experience with Python and PyTorch. Track record of contributing … development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance. Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Experience with graph machine learning (i.e. graph neural networks, graph data … eye for details such as scalability and performance of a potential solution. Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python. Experience with data manipulation and processing, such as SQL, Cypher or Pandas. A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will More ❯

Evaluation: Develop and train generative AI models, ensuring their effectiveness and reliability through rigorous evaluation processes. Collaboration: Collaborate with an elite team, learning and contributing to transitioning from conventional language models to cutting-edge Large Language Models (LLMs) and fine-tuning techniques such as LoRA and QLoRA. Innovation: Stay abreast of the latest advancements in AI and generative … in a collaborative, cross-functional environment. Demonstrated expertise in handling large datasets and extracting actionable insights. A proven track record working with open-source models, Llama, and AI/NLP across various domains. Mastery of NLP and related libraries. An understanding of business operations and a knack for crafting actionable business insights. Benefits: Join a pioneering joint venture at the More ❯

We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot. Tasks Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary … into production environments, ensuring robust and scalable AI solutions. Requirements Qualifications: Experience: 3-5 years of experience in AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.). Education: Bachelor's or Master's degree in Computer … Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for More ❯

AI-powered features to life in large-scale software products. What You’ll Do Lead a cross-functional team to build scalable language services in the areas of NLP, NLU, and NLG for live SaaS products Build models that solve real-world problems Help develop and groom an experiment and product feature backlog Optimize models for production throughput and … uptime requirements Automate deployments, testing, and monitoring (MLOps) Requirements 8+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services 3+ years of leading teams to produce data and analytics software products Expert in Machine Learning, Modeling, and development with Python Knowledge of relevant regulations in AI/ML and incorporating compliance into More ❯

talk with your recruiter to learn more. Base pay range $15.00/hr - $20.00/hr We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot. We … are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot. Tasks Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets … Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for More ❯

The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in … their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights … Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines. Experience working with databases and SQL. Experience using Language Models to solve a range of predictive tasks involving text. Ability to quickly acquire new technical skills. Experience of working with large data sets and distributed computing. Good understanding More ❯

high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of … platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure More ❯

high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of … platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure More ❯

and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating LLM-powered systems such as chatbots, summarisation tools, content generation workflows, or intelligent data extraction pipelines. Deep understanding of NLP fundamentals: text preprocessing, language modelling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and More ❯

mathematics, statistics, machine learning or equivalent quantitative field - Knowledge of Python or R or other scripting language PREFERRED QUALIFICATIONS - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) - Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems Our inclusive culture empowers Amazonians More ❯

AI models to uncover operational risk insights, including anomaly detection, pattern recognition, and risk hotspot identification Apply advanced statistical and analytical techniques to structured and unstructured data sources Develop NLP and computer vision models to extract value from text-heavy or image-based risk data (e.g., incident reports, audit findings, vendor assessments) Translate model outputs into actionable insights for Operational … experience in utilising SOTA (state of the art) LLMs elegantly within solutions, as well as deploying best practice development approaches e.g., Evals for AI systems Skilled in managing and processing data from multiple sources, ensuring accurate and efficient data flow, and applying data analytics techniques Capable of understanding and translating complex business requirements into practical solutions, focusing on value More ❯

the Engineering COO team to design, develop, and implement business analytics solutions using Qlik Sense Enterprise and Qlik Cloud. Design and enhance Qlik Cloud solutions incorporating AI-driven analytics, NLP, and ML-powered insights. Build an AI-ready data infrastructure that is scalable, governed, and designed to support advanced analytics. Ensure data integrity, quality, and effectiveness in all work outputs. … issue logs. Update and improve data models for performance and functionality. Additional programming languages or methodologies that would be an advantage: Experience with Qlik Mashups, AutoML, Insight Advisor, and NLP-driven analytics. Background with BI tools such as Power BI, Tableau, Domo, or Sisense. Web development experience using HTML, CSS, JavaScript, Python. Understanding of data governance, lineage, and observability tools. … to frame business challenges, uncover insights, and deliver data-driven visualizations that influence decision-making and drive outcomes. Understand Qlik Cloud's advanced features including Insight Advisor, AutoML, and NLP dashboards. Be familiar with operational resilience best practices and data observability. Personal attributes: Have strong communication, problem-solving, and troubleshooting skills. Must have strong communication and time management skills Positive More ❯

and professional services. We are looking for people to contribute to the development of AI tools and solutions, and help the business build capabilities on cutting-edge AI and NLP techniques. We're currently looking for a motivated, self-starter individual, comfortable with ambiguity, and willing to work in a cross-functional environment, with 2+ years of experience in data … science, to join us across our Manchester, Leeds, Birmingham, and London offices. What your days will look like: Solution Development: Contribute to designing, developing and scaling AI and NLP solutions addressing specific business problems or opportunities. This involves understanding business requirements, assessing feasibility, selecting appropriate techniques and technologies, and creating scalable and efficient solutions. AI Strategy: Contribute to the organisation More ❯

Ph.D. or Master's in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms. Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java). More ❯

preferably related to credit risk or finance. You're proficient in SQL and Python. You have a strong background in statistical modelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate about leveraging AI and data to improve financial inclusion and access to fair credit. You have excellent communication skills and can translate complex More ❯

collaboration with qualitative researchers (e.g., ethnographers, human factors specialists) and research scientists and/or data scientists * Experience mentoring other researchers and driving team excellence * Experience with generative AI, NLP, and its applications in research * Domain expertise in streaming/entertainment and/or commerce Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environment Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data More ❯