51 to 75 of 193 Natural Language Processing Jobs in the UK

platforms or trading ERP systems . Hands-on experience with platforms such as Azure ML Studio, Palantir Foundry, or Databricks Mosaic . Familiarity with NLP, LLM deployment, agent-based AI (MCP, A2A, N8N), and advanced RAG architectures . Roles and Responsibilities: Lead the end‐to‐end development, deployment, and delivery ...

analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit ...

conceptualize business problems and solve them through data science solutions. Proven knowledge of AI techniques such as Bayesian methods, Clustering, Ensemble tree models, NLP, etc., with an excellent grasp of statistical concepts and methods. Strong passion for solving problems and finding patterns and insights within structured and unstructured data. Industry ...

Preferred Experience Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, or related field Experience with GenAI/LLMs and NLP applications Knowledge of regulatory frameworks in financial services (e.g., GDPR, model risk governance) Company Overview At SBS, we’re more than just a technology company ...

Outstanding Depth Experience: in at least one area, with experience across several (in approximate order of relevance): predictive modelling over tabular data, Deep Learning NLP + LLMs, GenAI agent pipelines, simulations, Graph‐based models, Time‐series forecasting, Geospatial modelling, Causal inference, Reinforcement learning, optimization problems and/or anomaly detection. ...

/ML, software development, or SaaS start‐ups. You have a keen interest the latest in Gen AI and LLMs, algorithms, and technologies (e.g., NLP, computer vision, predictive analytics). Experience with cloud platforms (AWS, Google Cloud, Azure) and experience with microservices, containerisation (Docker, Kubernetes), DevOps and CI/ ...

Code, GitHub Copilot, Cursor) as a core part of the development workflow to accelerate prototyping velocity. Working knowledge of ML fundamentals: classification, regression, clustering, NLP, embeddings, and model evaluation. Ability to move from idea to working prototype extremely quickly - comfort with imperfect code, fast iteration, and progressive refinement over waterfall ...

help shape modern AI-driven systems. What youll be doing Build and optimise data pipelines and ML workflows Develop and deploy ML models (NLP, deep learning, AI applications) Work with streaming and batch data pipelines across cloud platforms Implement CI/CD and MLOps frameworks Collaborate with cross-functional teams ...

PyTorch. Preferred Skills: Hands on experience in coding (mandatory python and SQL or C++). Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning. Familiarity working with large data sets. Project Management background preferred. Qualifications : Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields ...

data science/machine learning Strong foundation in traditional ML (e.g. XGBoost, regression, statistical modelling) Hands-on experience with LLMs/GenAI/NLP/AI systems Experience deploying models into production (not just experimentation) Familiarity with MLOps, CI/CD, and containerisation Strong stakeholder skills - comfortable working with department ...

similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed data systems and APIs Required Skills & Experience Several years' experience ...

airline customers to assess AI maturity, operational challenges and transformation opportunities Designing AI and machine learning solutions across areas such as automation, predictive analytics, NLP and generative AI Building proof of concepts, prototypes and scalable AI solution architectures Supporting RFPs, RFIs and technical proposals with clear articulation of AI strategy ...

systems. Hybrid (#LI-Hybrid). Key Responsibilities Rapid Modeling & Experimentation : Design, develop, and benchmark state-of-the-art machine learning models (forecasting, segmentation, recommendation, NLP, etc.) with a strong emphasis on quick iteration and scientific validation of new concepts. Generative AI & Exploration : Lead hands‐on technical exploration into advanced techniques ...

cloud‐native deployment strategies. Demonstrated leadership in AI Ops/including monitoring, governance, and operational resilience. Broad understanding of adjacent AI disciplines such as NLP, Computer Vision, and data engineering. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization ...

level Design scalable solutions across cloud ecosystems (AWS, Azure, GCP) Lead implementation of MLOps frameworks and model lifecycle management Architect advanced AI use cases (NLP, LLMs, Agentic AI) Drive best practice across data governance, modelling, and platform design Engage with senior stakeholders to translate business needs into technical roadmaps What ...

multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would ...

pipelines.* **Depth Experience:** in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection* **Deployment Experience*** Proven ...

data workflows across Equity Corporate Actions and Reference Data products. This role focuses on ensuring that automation systems — including rule‐based pipelines, intelligent document processing, and LLM‐driven workflows — produce accurate, measurable, and operationally resilient outputs at scale. You will help define how we evaluate, monitor, and continuously improve … from all candidates who can demonstrate the skills necessary for the role. We’d love to see: Familiarity with LLMs, intelligent document processing, NLP systems, or workflow automation platforms Experience with Bloomberg’s products or other financial data providers’ products Good understanding of the equity market, corporate actions ...

data workflows across Equity Corporate Actions and Reference Data products. This role focuses on ensuring that automation systems — including rule-based pipelines, intelligent document processing, and LLM-driven workflows — produce accurate, measurable, and operationally resilient outputs at scale. You will help define how we evaluate, monitor, and continuously improve … from all candidates who can demonstrate the skills necessary for the role. We’d love to see: Familiarity with LLMs, intelligent document processing, NLP systems, or workflow automation platforms Experience with Bloomberg’s products or other financial data providers’ products Good understanding of the equity market, corporate actions ...

high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. Additional Info ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...

Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data ...

deployment. Preferred Skills: Hands on experience in coding (mandatory python and SQL or C++). Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning. Familiarity working with large data sets. Project Management background preferred. Qualifications : Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields ...