51 to 75 of 168 Natural Language Processing Jobs in England

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 ...

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 ...

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 ...

Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point ...

SaaS architectures.* Proven experience designing and executing customer pilots and proofs of concept that demonstrate business value.* Deep understanding of AI technologies (LLMs, ChatGPT, NLP, MCP automation frameworks) and their practical applications in CX.* Expertise in one or more of the following domains: CCaaS, Customer Service software, ITSM, Business Intelligence ...

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. Collaborate with … with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes). Exposure to big data technologies (Spark, Hadoop) and Apache tools. Knowledge of NLP, computer vision, and deep learning architectures. Familiarity with Agile and DevOps practices. STEM degree or equivalent experience in AI, Data Science, or related fields. Industry ...

initiatives. Required Experience Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering. Hands-on expertise with Generative AI, RAG architectures, NLP and agentic workflows. Experience building secure CI/CD, LLMOps, and MLOps pipelines. Knowledge of Terraform, cloud security, APIs, and enterprise integrations. Familiarity with frameworks such ...

plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience in consulting, public-sector ...