26 to 50 of 669 LLM Jobs in England

development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users.Apply NLP and LLM techniques to solve real-world problems, ensuring models are optimized for performance and reliability.Continuously improve model quality through tuning, evaluation, and feedback from production usage.Evaluate third-party ...

infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that ...

production deployment governance, and incident/root-cause management. Identify and deliver pragmatic AI/ML opportunities where valuable (e.g., agentic workflows, RAG/LLM-enabled capabilities) with appropriate governance and human-in-the-loop controls. What you need to have: Experience managing a team, as this role involves leading ...

adopt emerging AI and agent technologies. Hands-on experience with vector databases, embeddings, or prompt engineering. Understanding of AI fundamentals and experience using LLM APIs or AI-enhanced features and Agents. Experience with cloud services such as AWS, Azure, or serverless platforms. Interest in distributed systems, event-driven architectures ...

solutions, and position Uniphore as the trusted partner to address them. Deliver compelling technical presentations and demos showcasing GenAI, Agentic AI, RAG, and LLM‐based capabilities tailored to each prospect’s context. Build and deliver custom demos and proof‐of‐concepts (POCs) to validate business value and technical feasibility. Conduct ...

solutions, and position Uniphore as the trusted partner to address them. Deliver compelling technical presentations and demos showcasing GenAI, Agentic AI, RAG, and LLM-based capabilities tailored to each prospect’s context. Build and deliver custom demos and proof-of-concepts (POCs) to validate business value and technical feasibility. Conduct ...

implement AI/ML solutions for complex business problems and use cases Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal ...

implement AI/ML solutions for complex business problems and use cases Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal ...

solutions, and position Uniphore as the trusted partner to address them.* Deliver compelling technical presentations and demos showcasing GenAI, Agentic AI, RAG, and LLM-based capabilities tailored to each prospect’s context.* Build and deliver custom demos and proof-of-concepts (POCs) to validate business value and technical feasibility.* Conduct ...

collaboration, and accountability for outcomes. The Role and Deliverables Design, build, and maintain production-grade AI-enabled applications consuming standardised GenAI services such as LLM-based capabilities, RAG, summarisation, and classification. Develop cloud-native microservice or full-stack applications using API-led architectures. Integrate AI capabilities securely and reliably ...

modern MLOps practices. Commitment to people development: mentoring, performance conversations, and building high‐performing teams. Bonus: experience with NLP on financial contracts, RAG or LLM‐based applications on structured data, large‐scale loan data pipelines, or containerization tooling (Docker, Kubernetes, Terraform). Competitive salary and performance‐based bonus. Stock option ...

data modelling principles.* Deep expertise in Python (or failing that, Java).* Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).* Strong experience with Kubernetes (EKS) and cloud-native architectures.* Proven record of building scalable backend systems and APIs.* Experience ...

Cloud provider Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground‐floor opportunity to shape the product and the codebase from day one. ...

environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform ...

modelling, integration patterns, event-driven design, canonical semantic layers. Exposure to AI/ML data requirements and the data modelling implications of analytics and LLM-enabled use cases in asset management. Certifications: DAMA/CDMP, TOGAF, or cloud data certifications (Snowflake SnowPro, Azure/AWS/GCP equivalents). Experience ...

regulated, or high‐security environments. Deep technical fluency across modern AI/ML stacks: on‐premise and cloud platforms (AWS, Azure, GCP), MLOps tooling, LLM orchestration frameworks, data engineering pipelines, and AI governance. Exceptional ability to translate technical complexity into strategic narratives for non‐technical senior stakeholders. Strong commercial ...

right thing, not just the fast thing. Shape platform architecture with an architectural lens, contributing to long‐term decisions about how AI tooling, LLM integrations, and human‐in‐the‐loop controls evolve across the stack. Continuously identify and exploit opportunities to improve performance, reliability, and user experience, using observability ...

data modelling principles.* Deep expertise in Python (or failing that, Java).* Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).* Strong experience with Kubernetes (EKS) and cloud-native architectures.* Proven record of building scalable backend systems and APIs.* Experience ...

adopt emerging AI and agent technologies. Hands-on experience with vector databases, embeddings, or prompt engineering. Understanding of AI fundamentals and experience using LLM APIs or AI-enhanced features and Agents. Experience with cloud services such as AWS, Azure, or serverless platforms. Interest in distributed systems, event-driven architectures ...

supply-chain tooling (e.g. SBOMs, Sigstore). Useful for advising clients but not the primary focus of the role. Awareness of AI/LLM application security concerns (e.g. OWASP Top 10 for LLMs, MITRE ATLAS) and how they reshape secure-design conversations. Prior consulting experience and the ability to navigate ...

executives, to drive adoption and long-term success of Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best ...

translate data labelling methodologies into scalable product functionality. * Design and implement annotation workflows, task allocation systems and evaluation tooling. * Integrate and orchestrate multiple LLM providers and AI APIs. * Own and maintain cloud infrastructure and deployment pipelines. * Manage infrastructure using Terraform on Google Cloud Platform (GCP), including Cloud Run and Cloud ...

translate data labelling methodologies into scalable product functionality.* Design and implement annotation workflows, task allocation systems and evaluation tooling.* Integrate and orchestrate multiple LLM providers and AI APIs.* Own and maintain cloud infrastructure and deployment pipelines.* Manage infrastructure using Terraform on Google Cloud Platform (GCP), including Cloud Run and Cloud ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...