24 of 24 Remote/Hybrid 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 ...

Engineer, you will contribute to designing, developing, and implementing AI-driven solutions. Daily tasks include building and optimizing machine learning models, applying natural language processing techniques, and enhancing pattern recognition systems. You will collaborate with cross-functional teams to identify challenges and implement innovative solutions tailored … Qualifications Strong expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills Ability to work collaboratively within a hybrid environment Bachelor's or Master's degree ...

expertise in designing AI platforms and governance frameworks, with delivery experience in regulated environments. Responsibilities Consume, integrate, and operationalise advanced AI models, including Large Language Models (LLMs) and Small Language Models, into secure, governed, and scalable business solutions. Enforce data-handling policies in code, utilising prompt redaction middleware … Proficiency in Python, PyTorch, TensorFlow, or similar frameworks. experience with supervised, unsupervised, and reinforcement learning. Solid grounding in Natural Language Processing (NLP) concepts such as tokenisation, embeddings, semantic search, text classification, and summarisation. Strong understanding of Large Language Models (LLMs) and Generative AI (GAI), with hands ...

risk insights. You will mine data to find behavioural signals—such as spending volatility or income stability—that predict affordability, repayment, and fraud risk. NLP & Entity Resolution: Use classic NLP techniques (fuzzy matching, named entity recognition) to normalise, cleanse, and match and consumer identity data at scale. Generative AI & Explainability … clusters without needing a pre-defined hypothesis. Explainability: Experience using SHAP or similar frameworks to explain model outputs. Natural Language Processing (NLP): Entity Matching: Experience with deduplication, record linkage, or entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour ...

related injuries navigating NHS and military charity pathways. The post holder will be working on automating the synthesis of data from medical records using natural language processing, developing a smart referral questionnaire to improve data capture, and building a machine learning algorithm to automate parts ...

Python and advanced analytics techniques for structured data, with experience using AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and Machine Learning : Deep understanding of NLP and ML methods for unstructured data, including experience with foundation models and large language models. AI Solution Development … NoSQL databases (SQL, PostgreSQL, DB2, MongoDB). Preferred Professional & Technical Expertise Specialized AI Domains : Experience in one or more of the following areas: NLP, image processing, video processing, voice processing, or Watson technologies. Modern UI Frameworks: Familiarity with modern UI frameworks such as React.js, AngularJS, Backbone.js, Ember.js ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

learning exposure (PyTorch/TensorFlow) Cloud experience (AWS/GCP/Azure) Familiarity with MLOps concepts (monitoring, CI/CD, Git, Docker) Experience with NLP, time series, recommender systems, or optimisation Benefits 💰 £35,000 – £45,000 + bonus 🏡 Hybrid working (London) 📈 Mentorship + progression: structured development, training budget, regular feedback ...

stakeholders Desirable Experience working with healthcare, pharmaceutical or life sciences data Knowledge of population health, epidemiology, health economics or RWE Experience with unstructured data, NLP or advanced machine learning techniques Familiarity with healthcare data standards or clinical pathways Working pattern Hybrid working model with a strong emphasis on in-person ...

across client behaviour, operations and financial domains Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP/text analytics, time-series forecasting, & generative AI use cases Monitor model performance and design experiments tied to clear hypotheses Translate ambiguous business questions into ...

clear, actionable insights 🤝 Work closely with analysts, engineers, and stakeholders to support data-driven decision-making 🔍 Explore areas such as forecasting, optimisation, automation, or NLP using Python, SQL, and modern ML libraries 📐 Contribute to best practices around data quality, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development ...

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 ...

libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability to design experiments and apply statistical validation Understanding of Responsible AI principles and model explainability Ready to take your ...

Kimball/Inmon). Develop pipeline programming using Python, Spark, and SQL; integrate APIs for seamless workflows. Support Machine Learning and AI initiatives, including NLP, Computer Vision, Time Series, and LLMs. Implement MLOps, CI/CD pipelines, data testing, and quality frameworks. Act as an AI super-user, applying prompt ...

Engineer, Machine Learning Engineer, LLM Engineer, Artificial Intelligence, Python, LangChain, LangGraph, DSPy, AWS, Remote Jobs UK, EdTech Jobs, AI Start-up, Auto Assessment, NLP, Multimodal AI, Evaluation Frameworks, ML Engineering, London Remote Jobs ...

Job Title: Senior Data Scientist - up to £110,000 Location: Hybrid/London, Gloucester, Poole, Portsmouth Role Type: Full-time, Permanent The Opportunity We are looking for an exceptional Senior Data Scientist to join our ...

programme. What you’ll do Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smart digital assistant. Leverage your expertise in NLP and transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong … data to life. Contribute to the development of a fantastic visualisation layer for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos ...

hands-on engineering role requiring strong problem-solving abilities, in-depth understanding of Azure AI capabilities, and a passion for driving innovation using large language models, and intelligent document processing. Your Responsibilities Design, develop, and deploy AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Azure AI Foundry. … indexing). Familiarity with multi-agent AI architectures, orchestration frameworks, or agentic workflows. Exposure to Power Platform AI features and AI Builder. Understanding of NLP concepts such as entity extraction, text analytics, embeddings, and conversation design. Certifications Azure AI Engineer Associate (AI-102) Azure Fundamentals (AZ-900) I've organized ...

integrating models into production systems. Your Responsibilities (Up to 10) Model Development Design, build, and train machine learning models for predictive analytics, classification, NLP, computer vision, or other AI applications. Experiment with algorithms and optimize hyperparameters for performance. Data Preparation Collect, clean, and preprocess large datasets for training and validation. … Experience (Up to 10) 10+ years of experience in software engineering, with 5+ years in AI/ML. Expert in Python, PyTorch, TensorFlow, and NLP frameworks. Proven experience with LLMs, transformer architectures, and LangChain/Hugging Face. Strong foundation in algorithms, model evaluation, and ML workflows. Deep understanding of BFSI ...

scale and help drive fairer, more effective outcomes across the labour market. Youwill build and optimize in-house algorithms, work with the latest NLP and generative AI techniques, and develop intelligent conversational agents. Your work will directly improve how jobseekers and employers find the right opportunities and talent. Your responsibilities … based search engines, recommender systems, or similar large-scale ranking models. Generative AI & Technical Proficiency: Hands-on experience with LLM fine-tuning, Python, modern NLP frameworks, and familiarity with AWS SageMaker, Docker, and Airflow. Strong mathematical and statistical foundation. Ethical Drive: Commitment to ethical and fair AI practices that ensureequitableoutcomes ...

technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks ...

development, data pipelines, and system integration Familiarity with cloud-native architectures and scalable AI systems Desirable/Nice to Have Experience with NLP, OCR, speech-to-text, or document intelligence Exposure to computer vision or multimodal AI systems Knowledge of real-time data processing and streaming architectures Experience with ...

Skills & Experience To succeed in this role, you'll bring experience in: Defining and delivering strategic technical product vision and roadmaps Building and scaling NLP-based products Leading and influencing cross-functional technical teams Highly desirable skills include: APIs and microservices architecture Data analytics and performance measurement Generative … Large Language Models (LLMs) Reference: AMC/RHU/tpm #ryhu ...

auditability, encryption at rest and in transit. CoE leadership: guardrails & code review checklists, reusable components, reference architectures, developer onboarding and enablement. AI initiatives: seed NLP/Email Bot, Digital Messaging intent/sentiment, GenAI-assisted CSR (summarization, knowledge retrieval), and governance (prompt/data policies). Must-Have Skills Pega … power NBA in service context and next-best-service actions. GenAI/Agentic AI in Pega (e.g., summarization, knowledge buddy/coach patterns) and NLP model tuning. Telephony/CCaaS: Genesys, Amazon Connect, Twilio, NICE; CTI handoff and screen-pop patterns. Cloud ops (Pega Cloud, AWS/Azure) and enterprise ...