1 to 25 of 41 Permanent Natural Language Processing Jobs in London

technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/… Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale solutions. Partner with senior leadership to define ...

Thomson Reuters' core Risk and Fraud products, including CLEAR, CLEAR Adverse Media, and CLEAR Risk Inform. About The Role Applied Scientists are experts in NLP and Machine Learning, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage model training and evaluation design, graph … customers' needs. Provide input on project objectives and goals. Communicate effectively with stakeholders. Partner with Engineering to ensure well-managed software delivery. Be an NLP expert with experience in the end-to-end AI development life cycle. About You You're a fit for the role of Applied Scientist ...

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 ...

handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/… frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language ...

handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/… frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language ...

Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) Generative AI, Computer Vision cloud technology, NLP, Deep Learning. Experience Developing Machine Learning/Data Science models, from coding to deployment 2+ years of experience in teaching or training. 3+ Years … determine the ideal method for gathering data Desired Skills (Including but Not Limited to): Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision Python and SQL coding skills are indispensable Cloud experience in one of AWS - Amazon ...

Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more ...

appropriate methodology, avoiding a one-size-fits-all approach. Proven experience in areas such as recommendation systems, personalization, natural language processing (NLP), or semantic search. Expert-level programming skills in Python, with deep, hands-on experience using data science and ML libraries such as Pandas, Scikit-learn … TensorFlow, or PyTorch. Experience with data storage technologies (e.g., SQL, NoSQL, Key-value) and their scaling characteristics. Experience with large-scale data processing technologies (e.g., Spark, Beam, Flink) and associated patterns (Batch vs. Stream), with a deep understanding of when to use them. Experience using cloud platforms (e.g. ...

advanced AI teams in the world, helping them build, optimize, and scale their ML and GenAI workflows across industries such as computer vision, robotics, natural language processing, and large language models (LLMs). About The Role We're hiring an AI Solutions Engineer, Post-Sales ...

Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus … technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine ...

specific requirements. Technical Execution: Create, configure, and administer Relativity workspaces, Brainspace environments, and other eDiscovery applications. Quality & Compliance: Conduct quality control checks on data processing and production deliverables to ensure accuracy, consistency, and compliance with project specifications. Production Support: Generate custom load files, metadata, native files, and text files … workflow configuration. Experience integrating or evaluating AI-powered legal tools (e.g., contract analysis, document review, data classification, or legal research applications). Production & Processing Skills: Strong knowledge of eDiscovery processing tools (Relativity, Nuix, LAW) and demonstrated experience in creating complex document productions. Analytics Proficiency: Proven experience using analytics ...

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 ...

specific requirements. Technical Execution: Create, configure, and administer Relativity workspaces, Brainspace environments, and other eDiscovery applications. Quality & Compliance: Conduct quality control checks on data processing and production deliverables to ensure accuracy, consistency, and compliance with project specifications. Production Support: Generate custom load files, metadata, native files, and text files … workflow configuration. Experience integrating or evaluating AI-powered legal tools (e.g., contract analysis, document review, data classification, or legal research applications). Production & Processing Skills: Strong knowledge of eDiscovery processing tools (Relativity, Nuix, LAW) and demonstrated experience in creating complex document productions. Analytics Proficiency: Proven experience using analytics ...

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 ...

growing at 9fin! We are doing world-class work with ground breaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application … production ready delivery. Deep understanding of the GenAI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love ...

high-growth environment What you will do: Research, design, and implement advanced machine learning algorithms and models Develop and optimize AI pipelines for data processing, training, and inference Collaborate with cross-functional teams to integrate AI solutions into products The ideal candidate: Proven experience in machine learning, deep learning … natural language processing Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) Ability to translate complex problems into practical, scalable AI solutions How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website ...

Senior or Lead Machine Learning Engineer (ASR & NLP) We're supporting a growing AI Product building advanced speech tools. They need a hands-on strategic Senior or Lead ML Engineer with expert Automatic Speech Recognition (ASR) experience to modernise core voice architecture and bring next-gen speech products to life. … ASAP Outside IR35 - rate depending on experience The Role Modernise and streamline platform architecture for scalability & customisation Lead development of multilingual speech features & seamless language switching Drive product innovation Own complex ASR data formatting (e.g. alphanumerics, voice-specific cases) Influence roadmap and product vision What We're Looking ...

deploy scalable, cloud-based analytics solutions in collaboration with technology and data engineering teams. Apply advanced methodologies including forecasting, predictive modelling, optimisation, clustering, NLP, Generative AI, and Reinforcement Learning. Translate business objectives into analytical solutions, testing and measuring value creation. Help shape and strengthen the data science practice by driving ...

Hybrid A leading organisation is expanding its AI capability and is looking for a Machine Learning Engineer to help build and scale next-generation NLP and Gen AI solutions. This role sits at the heart of an established data function, working on real production workloads rather than prototypes. ...

acumen to deliver practical, high-quality solutions in real-world financial applications. Core Responsibilities Develop and deploy machine learning models (e.g., time-series forecasting, NLP pipelines, generative AI tools) to solve specific business challenges in finance, such as risk modeling, portfolio optimization, or client personalization Partner with cross-functional teams … cost savings, or risk reduction). Experience with containerization (Docker, Kubernetes), CI/CD, SDLC, and MLOps/observability practices Advanced Methods: Expertise in NLP, deep learning, transformer-based models, and generative AI. Proven ability to define and track value metrics, run experimentation (A/B testing, causal inference ...

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 ...

Learning, AI, or related discipline. Proven track record of leading AI initiatives in a complex or regulated environment. Strong technical expertise in machine learning, NLP, and scalable architectures. Familiarity with modern AI frameworks and cloud platforms (AWS, Azure, GCP). Excellent leadership and communication skills, with the ability to influence ...

Learning, AI, or related discipline. Proven track record of leading AI initiatives in a complex or regulated environment. Strong technical expertise in machine learning, NLP, and scalable architectures. Familiarity with modern AI frameworks and cloud platforms (AWS, Azure, GCP). Excellent leadership and communication skills, with the ability to influence ...

. NET , Python, SQL, APIs , Azure, Power Platform, SaaS , PaaS , IaC . Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP , MCP etc . Experience in architecture and software development methodologies , and design techniques e.g. Agile, C4, UML , TOGAF , Microsoft Well-Architected Framework , design patterns . ...

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 ...