176 to 200 of 266 Natural Language Processing Jobs in London

systems, particularly using Prometheus. Troubleshoot and optimize Linux-based systems (e.g., Red Hat, CentOS, Ubuntu). xAI's Grok is a powerful, multilingual large language model available on X and via API, focused on accelerating scientific discovery. Experience Requirements: Expert in at least one programming language that compiles … to replace existing real-time data pipeline. Providing platform support to engineering. AppTek.ai provides AI-powered speech and language solutions including ASR, NMT, NLP/U, LLMs, and TTS, serving diverse industries globally. Education Requirements: BS in a field related to Computational Linguistics, Computer/Data Science. Experience Requirements More ❯

sector. Team The Kennedys IQ team are responsible for the development of the IQ Platform, an online application designed to facilitate the insurance claims processing a combination of intelligent data capture, workflow augmented with legal expertise, as well as analytics including machine learning and natural language processing. More ❯

ideas to support investment decisions. Build and maintain quantitative factor models using methods such as time series analysis, machine learning, regression, network analysis, and Natural Language Processing. Develop portfolio construction tools to extract alpha from the markets. Candidate Profile: 7-10 years relevant quantitative research experience on the More ❯

AI-driven product development . Proven track record in building and deploying LLMs, RAG, and GenAI-powered solutions . Strong hands-on experience in NLP, ML, deep learning, and AI architecture . Leadership in managing AI researchers, ML engineers, and data science teams . Experience driving AI adoption and commercialization More ❯

SaaS products (ideally in MarTech or AI) Strong skills in React , Python or Node.js , ML pipelines , and cloud infrastructure (AWS/GCP) Familiarity with NLP , LLMs (GPT), and AI optimisation workflows Comfortable working in an early-stage, fast-paced startup environment Bonus: experience with containerisation (Docker, Kubernetes), PostgreSQL, and content More ❯

SaaS products (ideally in MarTech or AI) Strong skills in React , Python or Node.js , ML pipelines , and cloud infrastructure (AWS/GCP) Familiarity with NLP , LLMs (GPT), and AI optimisation workflows Comfortable working in an early-stage, fast-paced startup environment Bonus: experience with containerisation (Docker, Kubernetes), PostgreSQL, and content More ❯

LlamaIndex/LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. You have hands-on experience working with LLMs, RAG architectures, NLP, or applying Machine Learning to solve real-world problems. You have a strong track record of building datasets for training and/or evaluating machine More ❯

Data Lake Storage Gen2, Azure Databricks, Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow More ❯

Data Lake Storage Gen2, Azure Databricks, Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow More ❯

Proven experience in product managementbuying and building applications Experience working for a law firms or legal operations - mandatory Deep understanding of AI technologies: ML, NLP, neural networks Strong project management skills with multitasking ability Exceptional written and verbal communication Analytical mindset with proficiency in data tools Why Apply? Hybrid working More ❯

to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep More ❯

AI Software Engineer, you will work at the intersection of software engineering and AI, focusing on building the systems for deploying, scaling and monitoring NLP and Gen AI applications in production as well as optimizing and improving the core document AI strategies. You will have the opportunity to be immersed … join the Applied AI team. iM Responsible For Delivering robust, fully tested, maintainable software that impacts end users Designing and implementing production-ready scalable NLP applications and APIs Developing monitoring and observability solutions and integration testing frameworks Conducting code reviews and providing constructive feedback to team members Ensuring the scalability … Learning, Data Science, Artificial Intelligence, Statistics or related field 3+ years of experience in ML/AI engineering, or software engineering with expertise in NLP Experience with AI/ML infrastructure, distributed training and a track record of building and deploying ML systems at scale Solid understanding of AI system More ❯

with a strong Python background and hands-on experience with LLMs , Langchain , and full-stack product development. You’ll be: Designing & building production-grade NLP systems Integrating in-house and open-source models Collaborating with a cross-functional team of top engineers and product minds Working with tools e.g. Langchain More ❯

with a strong Python background and hands-on experience with LLMs , Langchain , and full-stack product development. You’ll be: Designing & building production-grade NLP systems Integrating in-house and open-source models Collaborating with a cross-functional team of top engineers and product minds Working with tools e.g. Langchain More ❯

with a strong Python background and hands-on experience with LLMs , Langchain , and full-stack product development. You’ll be: Designing & building production-grade NLP systems Integrating in-house and open-source models Collaborating with a cross-functional team of top engineers and product minds Working with tools e.g. Langchain More ❯

years of experience leading Data Science & Artificial Intelligence strategy. Proven experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning, NLP and LLM. Excellent stakeholder experience, ability to communicate and cultivate c-suite. Prior experience taking ownership of budget, recruitment, and management. Previously led product development More ❯

years of experience leading Data Science & Artificial Intelligence strategy. Proven experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning, NLP and LLM. Excellent stakeholder experience, ability to communicate and cultivate c-suite. Prior experience taking ownership of budget, recruitment, and management. Previously led product development More ❯

leadership and directly impacts multiple organization goals and beyond. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep More ❯

looking for people who have expertise in hiring the best people in the world for software engineering or research domains such as Deep Learning, NLP, Computer Vision and Speech. Our core values Accuracy We embody accuracy and precision in every facet of our operations, extending from the meticulous selection of More ❯

looking for people who have expertise in hiring the best people in the world for software engineering or research domains such as Deep Learning, NLP, Computer Vision and Speech. Our core values Accuracy We embody accuracy and precision in every facet of our operations, extending from the meticulous selection of More ❯

approaches Experience Required Strong experience in AI/ML solution architecture within large-scale, complex environments Hands-on expertise with machine learning, deep learning, NLP, computer vision, and/or large language models Proven experience with cloud platforms such as AWS, Azure, or Google Cloud Familiarity with tools and More ❯

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 … 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 More ❯

at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data … We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries More ❯

and research, and we are committed to prioritizing investors' interests at the core of our operations. The Role: Are you passionate about leveraging large language models to enhance investment management practices? Join our team as a Data Scientist, where you will play a prominent role in our quantitative research … data sets and distill complex information into concise and valuable offerings for investors. Your responsibilities will involve the development of machine learning applications, exploring language models, and other data products. Additionally, you will create original investment research content that drives better outcomes for our clients. If you possess exceptional … of AI solutions across Morningstar's business units. Requirements: Minimum 3 years of hands-on experience implementing AI/machine learning solutions, including RAG , NLP , AI Agents , and transformer models, in commercial applications. Advanced degree (Master's/PhD preferred) in a quantitative, AI or computational field such as Data More ❯

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 …/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 More ❯