1 to 25 of 152 Remote/Hybrid Natural Language Processing Jobs in the UK

Science function within a leading global organisation. This team is responsible for developing innovative AI, Machine Learning and Natural Language Processing (NLP) solutions that power intelligent products used by customers around the world. Working within a collaborative, cross-functional engineering environment, you'll play a key role … data pipelines and processing workflows. Develop cloud-native backend systems and scalable microservices. Partner closely with Data Scientists to productionise Machine Learning, NLP and Generative AI models. Build and optimise RESTful APIs for AI model serving. Monitor system reliability, model performance and observability across production environments. Drive best practices ...

unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases. Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems. … into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that ...

into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python);Provide the handling of (and where needed training of) Large Language Models (LLMs … Extract, Transform, and Load (ETL) of large corpus of data into a data lake;Participate in the Natural Language Processing (NLP) extract of unstructured data into structured meta-data through the use of tools such as Semantic understanding and meaning (Python, use of REST API);Support ensuring ...

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 ...

design, quantization, and deployment of edge-native AI models and knowledge analytics engines. In this role, you will transition state-of-the-art Small Language Models (SLMs) and knowledge graph pipelines into air-gapped, degraded, and bandwidth-constrained tactical hardware. You will ensure all deployed AI capabilities comply with … hardware. Proficiency in Python and PyTorch/HuggingFace ecosystems. Data Structures & Knowledge Processing Solid foundation in natural language processing (NLP), semantic summarisation, and graph-based data structures (Graph DBs, vector embeddings, network analysis). Understanding of data serialization formats (Protobuf, JSON, XML) and streaming analytics. Desirable ...

completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/… feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g., large language models, diffusion models, or generative adversarial networks).Experience building and deploying Generative AI solutions ...

completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/… feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g., large language models, diffusion models, or generative adversarial networks).Experience building and deploying Generative AI solutions ...

completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/… feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g., large language models, diffusion models, or generative adversarial networks).Experience building and deploying Generative AI solutions ...

completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/… feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g., large language models, diffusion models, or generative adversarial networks).Experience building and deploying Generative AI solutions ...

completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/… feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g., large language models, diffusion models, or generative adversarial networks).Experience building and deploying Generative AI solutions ...

completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/… feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g., large language models, diffusion models, or generative adversarial networks).Experience building and deploying Generative AI solutions ...

cutting edge of AI/ML, working across areas including:Computer VisionReinforcement LearningLarge Language Models (LLMs)Natural Language Processing (NLP)Deep Learning and advanced ML techniquesNovel algorithm development and experimentationA key part of the role is taking academic research and state-of-the-art techniques … ability. You'll ideally have:Proven commercial experience in AI/ML R&DStrong Python development skillsExperience in one or more of Computer Vision, NLP, LLMs or Reinforcement LearningA track record of developing novel AI/ML applicationsExperience adapting and applying academic researchStrong software engineering fundamentalsExperience working in Agile engineering ...

edge of AI/ML, working across areas including: Computer Vision Reinforcement Learning Large Language Models (LLMs) Natural Language Processing (NLP) Deep Learning and advanced ML techniques Novel algorithm development and experimentation A key part of the role is taking academic research and state … ideally have: Proven commercial experience in AI/ML R&D Strong Python development skills Experience in one or more of Computer Vision, NLP, LLMs or Reinforcement Learning A track record of developing novel AI/ML applications Experience adapting and applying academic research Strong software engineering fundamentals Experience working ...

Cambridge is seeking a Machine Learning Research Engineer to investigate new concepts in machine learning, particularly focusing on Natural Language Processing (NLP) and large language models (LLMs). The ideal candidate will possess a Ph.D. and a strong background in classic machine learning as well ...

Avanti Recruitment is working with a growing SaaS technology company to recruit a Mid-Level NLP Engineer to join a specialist team building and supporting production NLP and document-processing technology. This is a hands-on engineering role focused on improving how a live software platform extracts and processes … information from complex documents. You will work closely with a Senior NLP Specialist, initially supporting the existing production environment and gradually taking ownership of larger features and new functionality. What you'll be doing Developing and maintaining Python-based NLP and document-processing services Extracting and processing information ...

Avanti Recruitment is working with a growing SaaS technology company to recruit a Mid-Level NLP Engineer to join a specialist team building and supporting production NLP and document-processing technology. This is a hands-on engineering role focused on improving how a live software platform extracts and processes … information from complex documents. You will work closely with a Senior NLP Specialist, initially supporting the existing production environment and gradually taking ownership of larger features and new functionality. What you'll be doing Developing and maintaining Python-based NLP and document-processing services Extracting and processing information ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines ...

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice ...

pipelines, including document routing, exception handling, and integration with downstream systems. Understanding of optical character recognition (OCR), natural language processing (NLP) techniques, and entity linking for extracting actionable insights from diverse data types. Awareness of data validation, quality checks, and document lifecycle management best practices … years of experience building and architecting large-scale software or AI systems in medium-to-large enterprises.5+ years of experience with AI/ML, NLP, or Generative AIExperience working in regulated or compliance-sensitive environments (e.g., healthcare, finance, insurance, global enterprises).Strong communication skills with the ability to influence technical ...

Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type ...