26 to 50 of 599 LLM Jobs in England

role: The Search and AI Platform is Elsevier's agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation LLM-powered research systems. The platform utilises agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data, delivering ...

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 ...

experience in backend software development with a focus on Node.js, building scalable and production-grade systems Hands-on experience with AI applications, including LLM implementations, retrieval-augmented generation, prompt optimization, and fine-tuning methodologies Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from … using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning Develop end-to-end pipelines for data ...

record of shipping multi-agent or agentic AI frameworks into live production environments. Core Software Engineering: Exceptional Python skills alongside hands-on experience with LLM orchestration tools (eg, LangGraph, LangChain, Haystack, or similar). Modern DevOps: Strong experience with Docker, Git, and cloud infrastructure. Secure Architecture: Solid comprehension of secure ...

record of shipping multi-agent or agentic AI frameworks into live production environments. Core Software Engineering: Exceptional Python skills alongside hands-on experience with LLM orchestration tools (e.g., LangGraph, LangChain, Haystack, or similar). Modern DevOps: Strong experience with Docker, Git, and cloud infrastructure. Secure Architecture: Solid comprehension of secure ...

background, with deep experience in Python Proven track record building and deploying AI or ML-driven applications into production environments Experience working with modern LLM tooling, data pipelines, and large-scale datasets Ability to design scalable, maintainable systems with a focus on reliability and performance Experience working ...

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 ...

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 ...

Connect, JWT, and secure API design. * Experience with CI/CD pipelines (Azure DevOps). * Demonstrated hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic ...

Connect, JWT, and secure API design. * Experience with CI/CD pipelines (Azure DevOps). * Demonstrated hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic ...

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 ...

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 ...

focused on continuous improvement. •Design & Deliver secure, scalable MLOps platforms for production environments •Build & Optimise air-gapped machine learning pipelines and workflows •Deploy & Manage LLM inference clusters and AI model hosting platforms •Implement & Enhance model lifecycle processes, including monitoring and retraining •Develop & Automate infrastructure using DevSecOps principles and tooling •Monitor ...

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 ...

following would be highly advantageous: Microsoft Azure Python GitOps tooling (Argo CD/Flux) Observability tooling (Prometheus, Grafana, OpenTelemetry) AI/LLM-enabled applications Event-driven architectures and messaging platforms What's on Offer Opportunity to work on cutting-edge AI and cloud-native technologies Hybrid working model with flexibility ...

just an engineer. Skills & Expertise 5+ years building production-grade Python backends. You know the internals, not just the syntax. Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph (agent memory, tool calling, state management) Dagster in production (assets, sensors, partitions) or equivalent pipeline orchestration Strong backend ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

with bug bounty, penetration testing or security testing programmes. Experience with Splunk or similar logging/SIEM platforms. Exposure to AI security, such as LLM-enabled applications, AI-assisted development workflows or prompt/data leakage risks. Experience building dashboards, metrics or reports to support vulnerability management. Relevant security certifications ...

financial services and they're looking for engineers who build things that actually make it to production. You'll be working on intelligent platforms, LLM-powered workflows, and RAG pipelines across banking, risk, fraud, and enterprise environments. Think Python, LangChain, vector databases, FastAPI, and cloud platforms like AWS, Azure ...

real production environments, not just deployed to a hosting service. You'll work with agentic AI frameworks and orchestration tools (LangChain, LlamaIndex, or direct LLM API work) to deliver intelligent automation across the platform. What they're looking for — Someone who leverages AI tools as a core part ...

proven stakeholder management ability. Ability to work hybrid from Bristol. Desirable Experience with modern front-end frameworks (React, Next.js or similar). Familiarity with LLM APIs and Gen AI frameworks (e.g. OpenAI, Anthropic, LangChain). Knowledge of CI/CD pipelines and Infrastructure as Code (e.g. CDK, Terraform). Experience ...