101 to 125 of 1,281 Permanent Natural Language Processing Jobs

and Generative AI can drive meaningful business outcomes. Innovate & Build : Design, develop, and implement a portfolio of scalable AI solutions tailored to client needs, leveraging the latest advancements in NLP, Agentic AI and Generative AI. Collaborate & Deliver : Work closely with multidisciplinary teams, including Data Scientists, Software Engineers, and Business Strategists, to deliver impactful AI solutions. Educate & Inspire : Lead workshops and More ❯

skills and experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form on a day-to-day More ❯

own AI innovation for Thomson Reuters’ core Risk and Fraud products, including CLEAR, CLEAR Adverse Media, and CLEAR Risk Inform. About the Role: Senior 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 … managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining. Support and coach junior scientist by providing advice, mentoring, and training. Be an NLP expert About You: You’re a fit for the role of Senior Applied Scientist if your background includes: PhD in a relevant discipline or Master’s plus a comparable level … of experience 5+ years of hands-on 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 and ensuring well-managed software delivery Demonstrable experience translating complex problems into successful AI More ❯

to respond to clients query, contributing to shaping and implementing the LLM agentic ecosystem in Bloomberg and scaling generative AI applications to thousands of users Applying traditional machine learning, NLP and GenerativeAI to prototype and productionize client-facing search and streaming applications for discovering the most relevant and timely financial news You'll have the opportunity to: Collaborate with colleagues … same time, identify opportunities for using LLMs in dealing with data scarcity issues. Demonstrate technical leadership by owning cross-team projects. Stay current with the latest research in IR, NLP, LLMs and incorporate new findings into our models and methodologies. Represent Bloomberg at scientific and industry conference and in open-source communities Publish product and research findings in documentation, whitepapers … or publications to leading academic venues. You’ll need to have: Practical experience with Natural Language Processing or Information Retrieval problems A Ph.D. in NLP ,IR, ML, or a relevant field or an MSc in CS, ML, Math, Statistics, Engineering with prior industry experience. We are happy to consider candidates with a Ph.D and industry experience through More ❯

/ML frameworks. Strong understanding of MLops principles and practices. Ability to design and implement complex ML systems. Strong understanding of neural networks, natural language processing (NLP), computer vision, and other AI domains. Experience with cloud platforms and AI tools (e.g., Google Cloud, Azure). Familiarity with natural language processing or AI technologies (e.g. … LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering). Experience with data pipelines and preferably processing of documents (e.g., using Google Cloud Fusion/Azure Data Factory). Demonstrated success in deploying AI solutions in real-world applications. Work closely with product managers, data scientists, software engineers, and other stakeholders to integrate AI solutions into existing and new More ❯

to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across … and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI … LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance 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 ❯

features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning … and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization. Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions. Represent Bloomberg at industry events, scientific conferences, and within open-source communities. You'll need to have: Proven practical experience … solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of More ❯

innovative data science solutions, powered by digital consumer data sources. Through your proactive research, and driven by your passion for data science, you'll surface the latest AI and NLP innovations, connecting the dots with Curve's use cases to propose novel solutions to our most challenging problems. You'll work on a mix of small proof of concepts and … Technology Team's competitive edge. We are looking for a passionate and ambitious data scientist, enthusiastic about continuously learning through exploring and experimenting with trends in data science and NLP, with a keen interest in applying innovative approaches to digital consumer data sources for the benefit of Curve and our clients. WHAT YOU'LL BE DOING Develop innovative data science … models and prototypes in Python, from scratch Proactively research, experiment with, and share the latest trends in data science, AI and NLP Translate unstructured business problems into clear requirements Interrogate and data mine rich digital consumer data sources such as social posts, search engine data, product reviews, clickstream data and beyond Proactively and continuously identify and propose ways to improve More ❯

and apply innovative solutions to current problems. Documentation: Maintain clear and concise documentation for AI models, code, and processes to ensure efficient collaboration and reproducibility. Preferred Skills: Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines More ❯

gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems … Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment … in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computer vision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale to billions of data points More ❯

gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems … Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment … in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computer vision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale to billions of data points 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 ❯

Data Scientist Description: About Us: Footbridge Federal is at the forefront of developing cutting-edge solutions for secure environments. Our latest product, Footbridge.AI, is a unique offline Large Language Model (LLM) designed to enhance efficiency in secure spaces. We are seeking a talented Data Scientist to join our dynamic team and contribute to the development and success of Footbridge.AI. … hybrid position offers a blend of remote work and on-site collaboration in Northern Virginia. The ideal candidate will have a strong background in data science, machine learning, and natural language processing, along with the necessary security clearance to work in highly secure environments. Key Responsibilities: • Develop, train, and fine-tune machine learning models, specifically focusing on … large language models (LLMs) for offline use. • Collaborate with cross-functional teams to understand product requirements and translate them into data-driven solutions. • Implement data preprocessing, cleaning, and feature engineering to ensure high-quality input for machine learning models. • Evaluate model performance using appropriate metrics and continuously optimize for accuracy, efficiency, and scalability. • Conduct exploratory data analysis to uncover More ❯

and providing tailored solutions. Data Science Expertise: Apply diverse data science techniques across multiple industries and use cases, including machine learning, data visualization, natural language processing (NLP), application development (e.g. Shiny), MLOps, and generative AI (GenAI). Develop and deploy advanced data science models and algorithms to solve complex business problems. Mentor and guide junior data scientists … cases; Experienced in leading and managing large customer engagements; Experienced in deploying workloads on Cloud infrastructure; Familiar with software development best practices; Extensive experience in machine learning, data visualisation, NLP, application development, MLOps, and GenAI; Strong strategic thinking and problem-solving skills; Excellent communication and presentation skills; Certifications: Azure Data Scientist Associate DP-100 (nice to have AI-102, DP More ❯

as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of insurance, for example in managing risk, and build solutions … experience in a commercial environment or completed a PhD with two years of suitable industry or research experience in a Data Science role. Strong Python skills with experience in Natural Language Processing and Predictive Modelling, alongside solid SQL capabilities. Experience in creating, deploying, and tuning complex, non-linear predictive models to solve business problems using Python and … d love: Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing workflows, deep learning pipelines, and model evaluation. Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda More ❯

Technical Lead to join a pioneering AI start up automating the legal side of property transactions worldwide. Our mission is to leverage the latest in Generative AI and Large Language Models, placing us at the forefront of advanced technology in this field. As a Technical Lead, you’ll guide a talented team of AI engineers and software engineers, own … Engineering Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React … Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and inspiring teams. Excellent communication skills and ability to bridge technical and non-technical stakeholders effectively. Brings a startup mindset: positive, adaptable, proactive, and thrives in a fast-paced, evolving environment. Apply Now: Join us to shape the future of legal transactions with More ❯

Technical Lead to join a pioneering AI start up automating the legal side of property transactions worldwide. Our mission is to leverage the latest in Generative AI and Large Language Models, placing us at the forefront of advanced technology in this field. As a Technical Lead, you’ll guide a talented team of AI engineers and software engineers, own … Engineering Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React … Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and inspiring teams. Excellent communication skills and ability to bridge technical and non-technical stakeholders effectively. Brings a startup mindset: positive, adaptable, proactive, and thrives in a fast-paced, evolving environment. Apply Now: Join us to shape the future of legal transactions with More ❯

helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and … productionise machine learning models Work closely with a great programme team - project lead, data scientists and analysts - and interface with client technology counterparts Identify ways to improve data reliability, processing efficiency and quality of our data output Deploy pipelines in cloud environments and develop as a cloud technologist, as our world becomes increasingly reliant on cloud technologies Produce detailed More ❯

Python, SQL) Exploratory data analysis Data storytelling and visualization Ethics in data and AI Applied mathematics and statistics Data model measurement and testing Insight and decision making Machine learning Natural language processing Working with Generative AI – Large language models (LLMs) and image generation (ChatGPT, Gemini) Consulting Skills: Effective teamwork Business acumen Time management Stakeholder management Presentations More ❯

Python, SQL) Exploratory data analysis Data storytelling and visualization Ethics in data and AI Applied mathematics and statistics Data model measurement and testing Insight and decision making Machine learning Natural language processing Working with Generative AI – Large language models (LLMs) and image generation (ChatGPT, Gemini) Consulting Skills: Effective teamwork Business acumen Time management Stakeholder management Presentations More ❯

environments. Background in Agile methodologies and delivering incremental software solutions. Bachelor’s degree in a STEM field. Desirable Skills and Experience Experience in professional services or consultancy. Experience with natural language processing and generative AI applications. Knowledge of computer science fundamentals. Ability to collaborate across multiple projects and teams. Strong communication skills for stakeholder engagement. Master’s More ❯

on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design) - 5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar) - 5+ years developing with … SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch) PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation) - AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional More ❯

blend of scientific research and software engineering, allowing you to advance AI in financial services and build impactful products. In this role, you will leverage the latest research in Natural Language Processing and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. You will collaborate with software engineering teams to design More ❯

helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and More ❯