26 to 50 of 283 Natural Language Processing Jobs in the UK

compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯

General concepts, model development, experimentation, training, evaluation) Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM) Natural Language Processing (NLP) Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) Computer Vision (e.g., image processing, analysis, instance segmentation, OCR, deepfake detection) Game AI (Specific AI for intelligent opponents … understanding game states, actions, rewards) Data Science & Engineering Data Analysis & Manipulation (including Pandas, Matplotlib, Seaborn, NumPy, statistical analysis, general data processing, visualization libraries) Database Management (SQL, NoSQL, SQLite, data storage Algorithms & Mathematics Algorithms (General and specific like Monte Carlo Tree Search (MCTS), A* pathfinding, Sudoku solving, Collatz sequence, optimization, combinatorial problems) Software Engineering Practices & Tools Version Control (Git/… feedback Proactiveness: Willingness to challenge the status quo to conduct a given task and achieve the end goal Preferred Qualifications: Experience with AI/ML concepts, particularly with large language models (LLMs) and code generation. Familiarity with various programming paradigms (e.g., object-oriented, functional). Experience with code review in a professional or academic setting. Experience in data annotation More ❯

monitor, and optimize ETL/ELT workflows using Apache Airflow. Ensure data pipelines are robust, error-tolerant, and scalable for real-time and batch processing. Data Scraping & Unstructured Data Processing: Develop and maintain scalable web scraping solutions to collect data from diverse sources, including APIs, websites, and other unstructured data sources. Extract, clean, and transform unstructured data such as … images, and log files into structured formats suitable for analysis. Use tools and frameworks like BeautifulSoup, Scrapy, or Selenium for web scraping, and natural language processing (NLP) techniques for text processing. Cloud Integration: Design and implement cloud-native data solutions with Microsoft Azure. Optimize costs and performance of cloud-based data solutions. Infrastructure as Code (IaC): Use …/CD pipelines for machine learning workflows, ensuring efficient model deployment and monitoring. Containerisation and Orchestration: Utilize Kubernetes and containerisation technologies (e.g., Docker) to deploy scalable, fault-tolerant data processing systems. Manage infrastructure and resource allocation for containerised data applications. Cross-Functional Collaboration: Work closely with stakeholders, including data scientists, software engineers, and business analysts, to align technical solutions 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 ❯

General concepts, model development, experimentation, training, evaluation) Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM) Natural Language Processing (NLP) Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) Computer Vision (e.g., image processing, analysis, instance segmentation, OCR, deepfake detection 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 ❯

technologies skills (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing skills (e.g. ETL, ESB, API) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

teams, as you will be a prominent figure in expanding this business function moving forward. Preferred Qualifications: Familiarity with deep learning techniques and natural language processing (NLP). Financial services background is preferred but not essential. Understanding of financial regulations and compliance frameworks. Academic background in Computer Science, Data Science, or a related discipline. Salary More ❯

teams, as you will be a prominent figure in expanding this business function moving forward. Preferred Qualifications: Familiarity with deep learning techniques and natural language processing (NLP). Financial services background is preferred but not essential. Understanding of financial regulations and compliance frameworks. Academic background in Computer Science, Data Science, or a related discipline. Salary More ❯

data exchange and processing methods (e.g. ETL, ESB, API). Proficiency in development languages such as Python. Knowledge of big data technologies (e.g. Hadoop stack). Understanding of NLP (Natural Language Processing) and OCR (Object Character Recognition). Knowledge of Generative AI would be advantageous. Experience in containerisation technologies (e.g. Docker) would be advantageous. Knowledge or More ❯

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

Handling, Large Language Model (LLM), GitHub, Linux CLI, Docker and Kubernetes. Any additional knowledge of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) is highly desirable. Working on behalf of our UK Central Government client you will be part of a brand-new project focusing on blue sky dev work. Due to the More ❯

A notable part of the 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 and ML frameworks like PyTorch More ❯

A notable part of the 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 and ML frameworks like PyTorch More ❯

and forward-thinking developers. If you are passionate about software engineering and user experience, and want to make an impact, we'd love to hear from you Description The natural language tools and services team provides tooling to support model training, data management, internationalization and annotation for natural language processing and response. As part of More ❯

Full-time | Permanent Salary: Up to £120k total compensation About Us We’re an ambitious technology company using advanced Machine Learning (ML) and Natural Language Processing (NLP) to power next-generation products. Until now, our AI projects have relied on third-party engines deployed via Docker — but it’s time to take the next step. We’re … happen, we’re looking for an AI Infrastructure Lead — someone with the technical depth and vision to architect, implement, and scale an environment capable of supporting multiple ML and NLP initiatives across the business. The Role As our first senior AI hire, you’ll take ownership of designing and building the foundation of our AI ecosystem. You’ll shape the … training, deploying, and monitoring models. Integrate and manage containerized AI engines (Docker/Kubernetes). Establish best practices for model versioning, data pipelines, and reproducibility. Collaborate with ML and NLP researchers to optimize infrastructure for experimentation. Set up CI/CD pipelines, monitoring tools, and scalable compute infrastructure. Lead future recruitment and mentoring of additional AI engineers. Skills & experience Required More ❯

Full-time | Permanent Salary: Up to £120k total compensation About Us We’re an ambitious technology company using advanced Machine Learning (ML) and Natural Language Processing (NLP) to power next-generation products. Until now, our AI projects have relied on third-party engines deployed via Docker — but it’s time to take the next step. We’re … happen, we’re looking for an AI Infrastructure Lead — someone with the technical depth and vision to architect, implement, and scale an environment capable of supporting multiple ML and NLP initiatives across the business. The Role As our first senior AI hire, you’ll take ownership of designing and building the foundation of our AI ecosystem. You’ll shape the … training, deploying, and monitoring models. Integrate and manage containerized AI engines (Docker/Kubernetes). Establish best practices for model versioning, data pipelines, and reproducibility. Collaborate with ML and NLP researchers to optimize infrastructure for experimentation. Set up CI/CD pipelines, monitoring tools, and scalable compute infrastructure. Lead future recruitment and mentoring of additional AI engineers. Skills & experience Required More ❯

venture-backed Series A technology startup that is transforming pharmaceutical Research and Development (R&D). They leverage AI-powered data science and Natural Language Processing (NLP) to extract, structure, and organize knowledge from millions of scientific documents. Their mission is to help bioinformaticians and biologists uncover hidden insights and accelerate drug discovery, making the R&D 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 ❯

equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team … pragmatic approach to trade-offs. Interest in AI-enabled products or automation platforms. Nice to Have Experience leading small engineering teams or mentoring others. Familiarity with document processing, NLP, or knowledge-graph-style systems. Previous exposure to enterprise integrations or SaaS products. Comfort working with cloud-native infrastructure (e.g. AWS, GCP, Docker). Why Join Deep ownership and autonomy More ❯

equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team … pragmatic approach to trade-offs. Interest in AI-enabled products or automation platforms. Nice to Have Experience leading small engineering teams or mentoring others. Familiarity with document processing, NLP, or knowledge-graph-style systems. Previous exposure to enterprise integrations or SaaS products. Comfort working with cloud-native infrastructure (e.g. AWS, GCP, Docker). Why Join Deep ownership and autonomy More ❯

value and efficiency. Solution Design & Development: Create detailed Process Design Documents (PDDs)/define requirements for Robotic Process Automation (RPA), AI solutions/Natural Language Processing (NLP) solutions, collaborating closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. About Us: Ascendion is a global, leading provider of AI-first software More ❯