14 of 14 Natural Language Processing Jobs in Cheltenham

Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning … or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

in applying data science to one or more of the following: cyber defence, ISR (Intelligence, Surveillance & Reconnaissance), geospatial intelligence (GEOINT), threat modelling, logistics optimisation, or predictive maintenance. Knowledge of NLP, computer vision, or reinforcement learning in defence applications. Experience with edge analytics, secure computing environments, or Federated Learning. Relevant certifications (e.g., Microsoft Certified: Azure Data Scientist, AWS Certified Machine Learning More ❯

Data infuses everything Ripjar does. We work with a wide variety of datasets of all scales, including an always-growing archive of 10 billion news articles in (nearly!) every language in the world going back over 30 years, sanctions and watchlist data provided by governments, plus 250 million organisations and ownership data from global corporate registries. We have … data analysis tasks to develop Ripjar’s understanding of relevant data and will develop, evaluate and deploy machine learning models that integrate with Ripjar's software products and data processing pipelines. … You will be working with Language models, machine learning tools and large-scale distributed clusters. This role is well suited to a data scientist with a strength in NLP, who (as well as deriving insights) is keen to deploy data science products in software. You will have a strong technical and theoretical background, and be proficient in at least More ❯

75k DOE + Bonuses andamp; 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 #J-18808-Ljbffr More ❯

have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client … GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and … to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance Seniority level Not Applicable Employment type Full-time Job More ❯

Amazon looking to push the boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models (LLMs). We are looking … Chief Scientist to design, develop and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. … conference papers. Collaborate with engineers, product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

understanding of ML pipelines, data preprocessing, model optimisation, and deployment into production. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting … from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage If More ❯

autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting … from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage If More ❯

Required Technical and Professional Expertise Develops applications on Big Data technologies including API development. Expected to have traditional Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries. Strong technical abilities to understand, design, write and debug complex code. As an equal opportunities’ employer, we welcome applications More ❯

the use of agentic GenAI. As Legal AI Engineer you will: Design and implement AI models tailored to legal text and documents (e.g., contracts, case law, regulations). Apply NLP techniques to extract structured insights from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and … compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses More ❯

make a real difference. Optimising & improving performance – Test, refine, and scale AI models to keep everything running smoothly. Research & innovation – Stay ahead of AI trends, explore new models (LLMs, NLP, etc.), and bring fresh ideas to the table. Collaboration & strategy – Work with developers, product managers, and stakeholders to ensure AI solutions align with business goals. Communication & leadership – Break down complex More ❯

various robotic process automation (RPA) tools, such as Blue Prism, Automation Anywhere, UiPath, Powerautomate, IBM RPA etc. This expertise includes native chatbot support, natural language processing (NLP), optical character recognition (OCR), native Citrix automation, document processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features like Content Creation, Summarisation, Classification More ❯

with: Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More ❯