1 to 25 of 38 Remote Natural Language Processing Jobs in London

will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing … basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering ...

will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing … basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering ...

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 involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: 3+ years of experience in machine learning, deep learning or AI engineering Advanced proficiency in Python ...

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 ...

improve customer engagement metrics Skills ● Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit ...

improve customer engagement metrics Skills ● Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit ...

data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong knowledge of scrum practices and agile mindset. Skills & Core competences Strong Analytical and Problem-Solving Skills with attention ...

improve customer engagement metrics Skills ? Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit ...

front end engineers in our expanding innovation development team, and to drive development of an innovative new product that makes use of machine learning, natural language processing, speech recognition and text to speech synthesis to create dynamic, adaptive interactive scenarios for English learning and assessment. Minimum requirements ...

front end engineers in our expanding innovation development team, and to drive development of an innovative new product that makes use of machine learning, natural language processing, speech recognition and text to speech synthesis to create dynamic, adaptive interactive scenarios for English learning and assessment. Minimum requirements ...

forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic ...

forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic ...

join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting-edge Generative AI, LLMs, NLP, and Information Retrieval , building production systems used by global customers. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work … minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering for large-scale Information Retrieval/NLP pipelines. You will: Build and optimise retrieval, ranking, and document processing systems. Implement transformers, embeddings, search pipelines and evaluation frameworks. Deploy and maintain ...

join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting-edge Generative AI, LLMs, NLP, and Information Retrieval , building production systems used by global customers. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work … minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering for large-scale Information Retrieval/NLP pipelines. You will: Build and optimise retrieval, ranking, and document processing systems. Implement transformers, embeddings, search pipelines and evaluation frameworks. Deploy and maintain ...

business insights 🤝 Collaborate with cross-functional teams including analysts, engineers, and product owners to support data-led decision-making 🔍 Explore opportunities in forecasting, optimisation, NLP, and automation using tools like Python, SQL, and modern ML libraries 📐 Contribute to best practices in data quality, documentation, reproducibility, and model governance What ...

business insights 🤝 Collaborate with cross-functional teams including analysts, engineers, and product owners to support data-led decision-making 🔍 Explore opportunities in forecasting, optimisation, NLP, and automation using tools like Python, SQL, and modern ML libraries 📐 Contribute to best practices in data quality, documentation, reproducibility, and model governance What ...

deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British ...

Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate ...

OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate ...

leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using ...