1 to 25 of 222 Permanent Natural Language Processing Jobs in London

systems. In addition, OpenBinacle is a leading Pan-African AI and language technology platform advancing innovation in Natural Language Processing (NLP), machine translation, and African language digital infrastructure. Through a robust network of research partners, developers, and universities across the continent, we are committed … Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing (NLP) Knowledge Representation and Reasoning Computer and Information Sciences Computer Science Software Engineering Information Engineering Information Systems Distributed Systems Cloud Computing Engineering and Communication Systems Electrical ...

managing risk and strengthening controls Requirements Extensive experience in conversation design Exceptional cross-functional communication and influencing skills Proven leadership abilities Advanced knowledge of NLP Strong data-driven decision-making skills Vision for conversational AI products Core Competencies Demonstrates extensive experience in conversation design and advanced knowledge of NLP, with … vision for conversational AI products are essential for driving business outcomes. Highest-signal resume keywords Conversation Design Natural Language Processing (NLP) Data-Driven Decision-Making Cross-Functional Communication Leadership Abilities ATS Optimization Keywords Hard Skills Conversation Design Natural Language Processing (NLP) Data Analysis Design ...

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. … knowledge sharing community Develop state-of-the-art machine learning models to solve real-world problems and apply it to tasks such as NLP, LLMs or recommendation systems Produce outputs that lead to high-impact business applications, open‐source software, patents, and publications in top AI/ML conferences ...

prototype phase. You will have the opportunity to learn new techniques and algorithms at the cutting edge of Natural Language Processing (NLP) and Large Language Model limitations (LLM). Dr G.A.McHale, Technical Director, AI & Data Science About the Team The team is led by someone with … exposure to user development of LLMs; telecommunications related expertise would be a bonus but is not mandatory. Any knowledge of AI techniques related to NLP, Reinforcement Learning, or Agent‐based‐modelling are desirable, but are not essential. Candidates that have followed a non‐conventional career paths are encouraged to apply ...

intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning … machine learning models to solve real‐world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time‐series predictions or recommendation systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management ...

intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning … machine learning models to solve real‐world problems and apply them to tasks such as natural language processing (NLP), speech recognition and analytics, time‐series predictions or recommendation systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management ...

requires rapidly reacting to trader/sales/management demands in traditional ways but also using techniques in natural language processing (NLP) and machine learning (ML) and artificial intelligence (AI) to maximize our return on the large-scale data sets we curate. What we’ll offer … tools in a collaborative environment (git/bitbucket/JIRA etc.) Advanced Degree (PhD OR Masters) in a relevant subject such as Mathematics/Natural Science/Computer Science/Engineering Experience working with data, both in onboarding, cleaning and curating data in databases as well as analysis ...

Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. \* NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation … UK. Unfortunately, we do not offer visa sponsorship. \*\*Preferred technical and professional experience\*\* \* Foundation in Specialized Areas: Experience with one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies, enabling optimization of AI solutions and driving business value. \* Proficiency in Modern ...

architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … robotics foundation models. Leverage your broader expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more.### Skills Required* reinforcement learning* imitation learning* multimodal generative modeling* training and inference* vision ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work … Architecture* Machine Learning* Data Structures* Algorithms* Technical Leadership* Big Data* Information Retrieval* Distributed Computing* Large-scale System Design* Networking* Data Storage* Security* Artificial Intelligence* Natural Language Processing* UI Design* Mobile Development* AI Pipelines* A/B Testing* Gemini* Pixel-level Analysis* Back-end Development* Front-end Development ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work … engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

career. The role G-Research is investing in how we apply large language models (LLMs) and other Natural Language Processing (NLP) techniques across the firm. We are looking for an exceptional NLP Performance Engineer to join our NLP Engineering team and take ownership of large-scale … will profile and analyse workloads, eliminate bottlenecks and develop reference solutions. Your work will help shape the tooling and infrastructure that underpins our NLP capabilities. Key responsibilities of the role include: Profiling, benchmarking and optimising large-scale LLM inference workloads across our compute infrastructure Ensuring efficient deployment of the latest ...

must have a deep understanding and hands-on experience with OpenAI's Codex. They should be able to use this AI system to translate natural language to code effectively. Tool Development for Generative AI: The applicant must have experience in developing and implementing tools for generative AI models. … etc. Experience with Deep Learning Frameworks: Experience with frameworks like TensorFlow, PyTorch, or Keras. Familiarity with Natural Language Processing: Understanding of NLP techniques and libraries like NLTK, SpaCy, etc. Knowledge of Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud, or Azure. Understanding of Computer Vision ...

demonstrable capability for, applications of Generative AI, Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer ...

build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization, and developing and maintaining production-grade agentic RAG systems that serve … AWSTechnical Concept Requirements* Experience in any of the following AI/ML topics within a work context: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions with the ability to discuss in depth the design decisions.* Experience in any of the following ...

including customer service, supply chain optimization, recommendation systems, and internal operations.Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques.Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow.Conduct research and experimentation with … systems.Strong proficiency in programming languages such as Python, Java, or C++.In-depth understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures.Solid understanding of software engineering principles, including design patterns, data structures, and algorithms.Familiarity ...

trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. Drive community growth and platform adoption through thought leadership activities, including the creation …/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 Hands-on experience working ...

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 designing evaluation frameworks for LLM use cases ...

patterns, and anomalies across diverse datasets. Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP). Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments. Ensure models are explainable, validated, and compliant with internal governance … business insights and decisions Proficiency in data visualisation and storytelling Understanding of model governance, validation, and explainability Familiarity with AI, prompt engineering, and large language model (LLM) applications Strong stakeholder engagement and communication skills in complex environments Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer ...

technical systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting ...

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. … knowledge sharing community. Develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks such as NLP, LLMs, recommendation systems, speech recognition, analytics, time-series predictions, or other areas. Produce outputs that lead to high-impact business applications, open-source software, patents ...

closely related role Strong experience working with Python and the ability to write production-quality code Commercial or substantial project experience working with Large Language Models Experience with LangChain and/or LangGraph Familiarity with machine learning frameworks, model deployment, and inference technologies Experience using Python data and matrix …/GPU Optimisation/Rust/ort/Model Inference/Model Acceleration/Deep Learning/Natural Language Processing/NLP/Generative AI/Computer Science/Mathematics/Physics/Engineering/Machine Learning Degree RedTech Recruitment Ltd focus on finding roles for Engineers ...

experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing ...

robust ML and data pipelines for experimentation and deployment. Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process. Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers. Explain ML/NLP model outputs and methodologies to non-technical … Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required. Understanding model evaluation methods ...

internal teams effectively. Primary Skill Set Generative AI Expertise : Good understanding of modern Generative AI techniques and foundation models, including transformer-based Large Language Models (LLMs), diffusion models, and multimodal models, as well as earlier architectures such as GANs and VAEs. Proven experience applying these techniques to real-world … decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing: transformer models, attention mechanisms, word embeddings Computer vision: convolutional neural networks, recurrent neural networks, object detection Robotics: reinforcement learning, motion ...