51 to 75 of 713 LLM Jobs in the UK

scale. * Collaborate on the deployment of applications to cloud environments (Azure preferred; AWS acceptable). * Integrate front-end applications with AI-powered services, including LLM-based APIs and workflows and Agentic AI systems * Automation and orchestration services (particularly within Azure) * Work with containerised environments (e.g. Docker) and contribute to cloud ...

rate - with evidence. Deep practical security integration experience across the pipeline, including supply chain controls. Hands-on exposure to production AI/ML or LLM systems, including how they are evaluated, deployed and monitored. Technical skills: CI/CD: Azure DevOps, GitHub Actions, GitLab, Jenkins; artefact repositories; GitOps and progressive ...

alignment without relying on direct authority. Technical Capabilities Deep practical expertise in enterprise AI architecture, including strong capability across most of the following areas: LLM and GenAI solution design, including model selection, prompt and context design, grounding, tool use, structured outputs and scalability trade-offs. Agentic AI, orchestration and human ...

collaboration etc Experience designing, testing and deploying production-scale GenAI (not just proof of concepts) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...

collaboration etc Experience designing, testing and deploying production-scale GenAI (not just proof of concepts) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...

collaboration etc Experience designing, testing and deploying production-scale GenAI (not just proof of concepts) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...

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 ...

looking for an SC Cleared AI Engineer to join. They’re looking for someone with strong experience across: Python software engineering Generative AI/LLM application development Agentic AI workflows LangGraph RAG architectures Prompt engineering, embeddings and semantic/vector search Azure AI, ideally including Azure OpenAI and Azure ...

problem-solving. Experience with Python, Docker, Kubernetes, Grafana or OpenTelemetry would be beneficial. This is a hands-on backend development role; deep AI or LLM expertise isn't required. Benefits include 30 days' annual leave plus bank holidays and a pension scheme. Interested? Apply with your CV to find ...

reduce manual processes and improve operational efficiency through automation. Design, develop and enhance CI/CD pipelines. Explore and implement AI-powered automation, including LLM-assisted tooling and AI agents. Develop reusable automation frameworks, engineering standards and best practices. Collaborate with Cloud Operations, DevOps and infrastructure teams to introduce more ...

Foundry and wider Microsoft AI technologies. You don't need to be an AI or ML Engineer. Some practical experience using Copilot or another LLM within development, debugging, code validation or documentation would be useful. You'll have scope to develop that experience alongside your core Data Engineering work. Package ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

ideas, products, and processes. About the Role: As a Senior Data Scientist at Elsevier, you will develop and deploy advanced AI, machine learning, and LLM-powered solutions that support scientific discovery, research intelligence, and editorial workflows. Working across the full model lifecycle, you will apply techniques such as machine learning … complex scientific information. In this role you will: Design, develop, and deploy advanced AI, machine learning, NLP, and generative AI solutions, including LLM-powered applications, semantic search, retrieval-augmented generation (RAG), agentic workflows, and scientific knowledge discovery systems. Build and optimise intelligent research and decision-support capabilities using embeddings, retrieval ...

RBAC and cost controls. Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. You won't need … Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents ...

learn quickly and take feedback Desirable experience: Familiarity with libraries such as pandas, NumPy, scikit-learn, PyTorch or TensorFlow Experience calling a large language model through an API, or building a simple prompt-based tool Exposure to cloud platforms, particularly Microsoft Azure Use of Git and Jupyter Notebooks Interest ...

automation. Awareness of AI-specific threats and incident types (prompt injection, model/data poisoning, sensitive-data exposure via GenAI), and familiarity with OWASP LLM Top 10/MITRE ATLAS. Hands-on cloud incident response across Azure, AWS, and/or GCP, including cloud-native log sources (Azure Activity/ ...

implementation Develop and orchestrate agentic AI workflows, integrating solutions with existing enterprise systems Support the development of shared AI platforms, model routing and LLM evaluation frameworks Translate business requirements into scalable, production ready AI applications Analyse existing business processes, identify inefficiencies and recommend AI driven improvements Maintain and enhance existing ...

networking, IAM and security. Deep understanding of MLOps , model training pipelines, orchestration, feature stores, model hosting and observability. Strong Generative AI architecture experience, including LLM hosting, RAG, vector databases, prompt orchestration and guardrails. Knowledge of AI platform tooling such as Azure ML, Amazon SageMaker, MLflow, Kubeflow and Databricks . Ability ...

regression and gradient boosting models. Ability to work autonomously, solve problems proactively, and thrive in a fast-moving environment. Exposure to clustering, anomaly detection, LLM applications, or agentic AI approaches would be advantageous. Strong commercial understanding of risk-based products, financial services, or payments environments is beneficial. How to Apply ...

stakeholder management . Excellent communication skills with the ability to engage and influence senior stakeholders. Desirable Skills & Experience Experience delivering platforms supporting AI/LLM workloads (Azure OpenAI, AI Foundry, AI Gateway). FinOps experience including cloud cost management and reporting. Experience integrating cloud platforms with ServiceNow or similar ITSM ...

techniques Experience working with AI-assisted development tools such as GitHub Copilot, Claude, Codex, or similar to improve productivity and code quality Understanding of LLM applications, prompt engineering, and practical AI use cases within analytics workflows Excellent stakeholder management skills with the ability to translate technical outputs into clear business ...

assisted development tools such as Cursor, Claude Code or similar. Desirable experience includes: Java and Spring Boot. Event-driven architectures and workflow orchestration. LLM integrations or AI-powered products. Experience within regulated or data-intensive industries. What They Offer Competitive salary, bonus and benefits package. The opportunity to build cutting ...

modern engineering , and were looking for an experienced Agentic AI Engineer to join a highly capable technology function. This isnt simply an LLM integration role. Youll work at the intersection of Agentic AI, Software Engineering, Architecture and Data , partnering directly with business stakeholders to identify complex operational problems and build ...

databases and data-processing solutions Work with cloud infrastructure and deployment pipelines to improve reliability and scalability Explore and implement AI-driven capabilities, including LLM integrations and agent-based workflows Use data and analytics to support product functionality and informed decision-making Implement robust testing, monitoring and security practices Collaborate ...

enabled software products Desirable experience includes: Next.js and Node.js Redis, WebSockets, OpenSearch, or Elasticsearch Background processing frameworks such as Celery Kubernetes or Terraform LLM-powered applications and AI workflow development Experience in regulated or security-focused environments BENEFITS The successful Full Stack Engineer will receive the following benefits: Salary between ...