1 to 25 of 151 Natural Language Processing Jobs in the UK

s commercial goals by harnessing artificial 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 methods to complex tasks including … our knowledge sharing communityDevelop state-of-the art 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 systemsCollaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into … discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy More ❯

Sensory and Machine Learning Builder Services Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading speech and language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the … best-possible experience for our customers. As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. We are hiring in the area of speech recognition (ASR). BASIC QUALIFICATIONS MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning More ❯

tools, such as TensorFlow, PyTorch, or similar technologies • Artificial Intelligence (AI) and Machine Learning (ML) technologies, including various algorithms, neural networks, deep learning, natural language processing (NLP) etc • Legal and regulatory requirements applicable to the financial services industry, such as GDPR, Data Sharing, CCPA, or specific financial regulations • Relationship Management • Stakeholder Management Behavioural Skills: • Analytical • Business partnering … Customer Orientated • Outcome Orientated • Problem Solver • Team management Cognitive Skills: • Divided attention • Auditory processing • Critical thinking • Collaboration This role is based in London on a hybrid basis. Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender … Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , Natural Language Processing , Neural Networks , NLP , United Kingdom More ❯

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, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a … conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as 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 to deploy solutions … wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science More ❯

the future of AI-driven customer experience and thrive on variety, this is the place for you. Day to day, you will: • Develop agent-based systems that use large language models and other AI models to automate complex workflows, such as conversation quality monitoring, customer support, or document processing. • Run experiments to test new agent capabilities, fine-tune models … people to innovate, explore possibilities and grow with purpose. What you'll need: • Experience working with AI agent including prompt engineering and tool definition/selection to build Large Language Model (LLM)-based applications. • Degree qualified in a relevant … field or equivalent work experience. • Experience in leading a small team and managing projects. • Have industry experience as a data scientist, working with Natural Language Processing (NLP)/Machine Learning (ML)/GenAI models, and having extensive production experience in Python. • Advanced experience in applying deep learning, machine learning, analytical techniques, data processing, clustering, regression, and More ❯

unstructured multimodal information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and … experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models … for business application Experience with natural language processing and/or processing of multi-modal data (e.g. images) Preferred Qualifications Experience using Unix/Linux Experience in professional software development Experience with training and evaluating LLMs Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

learning architectures. Practical experience with, or 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: As a Principal Data Scientist More ❯

learning architectures. Practical experience with, or 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: As a Principal Data Scientist More ❯

pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯

deep domain expertise to the development of AI-powered products. One of our core areas focuses on Dialogue Labeling and Annotation Management, supporting Natural Language Processing (NLP) enrichments across multiple communication platforms. These enrichments are critical for structuring unstructured client communications and fueling intelligent downstream search, classification, summarization, and insight generation. Our team builds and manages scalable … supports extracting intent, identifying salient content, and generating concise responses or insights that drive decision-making for Bloomberg clients. You may also be responsible for providing support for our NLP solutions in other domains involving complex financial instruments. We'll Trust You To Own the end-to-end Annotation Lifecycle, from schema development to annotation execution, with an eye toward … for search and summarization use cases, including training data for relevance ranking, query-document matching, and text abstraction. Develop scalable strategies for data labeling and dialogue annotation, tailored for NLP enrichments across communication products. Shape and evolve schematic structures and data models that serve as the foundation for annotation quality and reuse. Define metadata structures and enrichment tags that help More ❯

needs of an expanding customer base. Lead product roadmap initiatives that improve the accuracy, efficiency, and relevance customer screening. Collaborate with Technology teams to enhance automation, machine learning, and NLP (natural language processing) and generative AI capabilities. Develop and maintain strong relationships with customers, regulators, and industry partners to anticipate compliance challenges and evolving risk concerns. Capture … particularly in content accuracy, data integrity, and risk classification . Desirable Skills Knowledge of financial crime compliance, AML regulations, and KYC screening . Familiarity with AI-driven media monitoring, NLP, and automation technologies . Experience working with third-party data providers, content aggregators, or risk intelligence platforms . Proven track record to lead teams without formal authority. Experience in software More ❯

beneficial and may be required in the role; we are happy to support your learning on the job, but prior experience is a plus: Experience with large-scale data processing frameworks (e.g., Spark, Flink). Experience with time series analysis, anomaly detection, or graph analytics in a security context. Proficiency in data visualization tools and … techniques to effectively communicate complex findings. A basic understanding of the cyber threat landscape and technical Indicators of Compromise (IOCs). Experience with Natural Language Processing (NLP) for analyzing unstructured security data. What Makes Cloudflare Special? We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with … accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at or via mail at 101 Townsend More ❯

EKS/GKE). - Familiarity with IaC tools such as Terraform, CloudFormation, and Helm for scalable deployments. AI/ML Fundamentals: - Knowledge of Natural Language Processing (NLP), model lifecycle management, and explainability techniques. - Ability to articulate how AI models integrate into enterprise workflows and compliance frameworks. Security & Compliance: - Strong grasp of SOC 2, ISO 27001, GDPR, and … client's supplier list for this position. Useful Keywords Technical Presales Lead, Solutions Engineering, Pre-Sales Manager, Cloud Architecture, AWS, Azure, GCP, Kubernetes, ECS, Fargate, Terraform, AI/ML, NLP, Security Compliance, SOC2, ISO 27001, GDPR, SaaS, Enterprise Software, API Integrations, Player-Coach, Technical Leadership, Proof of Value, Enterprise Presales More ❯

/2025 Aveni is an award-winning technology company. We useadvanced AI to enable scalable efficiency for financial services companies,combining world-leading Natural Language Processing (NLP) and Large LanguageModel (LLM) expertise with deep financial services domain experience to driveenterprise-wide productivity. Aveni harnesses the power of voice to driveunprecedented efficiency and oversight. We're using the More ❯

on the job, but prior experience is beneficial Experience with deploying Deep Learning models in production systems Experience with development and deployment of Natural Language Processing (NLP) applications Wide machine learning knowledge from linear regression through LLMs A basic understanding of the cyber threat landscapeandtechnical Indicators of Compromise (IOCs) What Makes Cloudflare Special? We're not just … accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at or via mail at 101 Townsend More ❯

and productivity. Aveni is an award winning technology company. We useadvanced AI to enable scalable efficiency for financial services companies,combining world-leading Natural Language Processing (NLP) and Large LanguageModel (LLM) expertise with deep financial services domain experience to driveenterprise-wide productivity. Aveni harnesses the power of voice to driveunprecedented efficiency and oversight. We're using the More ❯

technical background in data science Demonstratable experience developing & delivering data science strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable Current enhanced DV security clearance TO BE CONSIDERED.... Please either … LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENTIST KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL NETWORKS/CLOUD INFRASTRUCTURE/ More ❯

improve customer satisfaction and conversion. Key Responsibilities Design and maintain analytical models, dashboards, and visualisations using tools such as Python, R, Tableau, or Power BI. Apply machine learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory … tools such as Python, R, Tableau, or Power BI. Interest or experience in customer experience and Voice of Customer (VoC) insights. Bonus skills (not required): Experience with predictive modelling, NLP, or large language models. Exposure to customer journey mapping. Knowledge of additional languages (French, Spanish, or German). What's on Offer Opportunities to work across multiple European locations. More ❯

solve complex business challenges. Provide expert consultation on the integration and performance improvement of AI technologies in day-to-day business processes. Skills & Experience: Proven expertise in General AI, Natural Language Processing, and Machine Learning. Demonstrable experience in managing lifecycle of large language models and statistical language models including training and fine-tuning. Strong proficiency More ❯

a passion for solving problems using state-of-the-art machine learning, natural language processing and generative AI. 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-based AI, and information retrieval … using quick iterations guided by 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 if your background includes: PhD in … a relevant discipline or Master's plus a comparable level of experience 3+ years of hands-on industry experience building NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks) Experience writing production code Outstanding communication, problem More ❯

our customers' all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark to process … the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, Natural Language processing, Fuzzy matching and Image processing at a massive scale. We are looking for a Manager, Applied Science to tackle ambiguous problems in the areas … deliver solutions that will have an impact to both Amazon top-line & bottom line. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer More ❯

unique opportunity to learn directly from our team of AI researchers, engineers, and data scientists. This role is designed to provide structured, real-world experience in machine learning, data processing, and model deployment while working on exciting projects. You'll gain practical experience in various stages of AI development, from data preprocessing and algorithm implementation to testing and optimizing … of senior AI engineers. Perform exploratory data analysis to identify patterns and trends. Document project milestones, coding progress, and learnings. Work with cutting-edge AI technologies like neural networks, natural language processing, and computer vision. Participate in regular team meetings and brainstorming sessions. Gain experience with popular AI/ML tools and frameworks such as Python, TensorFlow More ❯

You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful machine learning projects into production Strong understanding of software development fundamentals, in particular deploying models to production and how to set … up pipelines. Demonstrate expertise in deep learning for computer vision, natural language processing, reinforcement learning etc Displays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation Understanding of the fundamentals in Mathematics, Statistics and Data Analysis Experience working in an Agile environment and knowledge of how Agile methodologies can be … setup About Sprout.ai Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days More ❯

outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive analytics to natural language processing, providing variety and challenge in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in More ❯

Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and More ❯