176 to 200 of 2,799 LLM Jobs in England

Remedy, Jira, etc.) Experience with Claude and Claude Code, or similar AI assistants and agentic coding tools. Experience implementing or administering AI agents, LLM integrations, or MCP-based tooling. Familiarity with AIOps concepts (event correlation, noise reduction, root cause analysis). Knowledge of SSH and WinRM remote authentication protocols. ...

cloud platforms such as AWS, Azure, or GCP; hands-on deployment experience is beneficial but not required.Exposure to generative AI application development, including LLM APIs, agentic workflows, retrieval, vector databases, or agent frameworks such as LangChain, LangGraph, or AutoGen.Familiarity with AI-assisted coding tools such as Claude Code, Codex ...

production environmentsExperience with MLOps, model deployment, model monitoring, model lifecycle management, and automated validation processesExperience supporting Generative AI solutions, including RAG architectures, vector search, LLM integration, AI orchestration, or agentic workflowsDatabricks experience, including Unity Catalog, MLflow, Delta Lake, Lakehouse architecture, and AI toolingExperience working within secure, regulated, or government environmentsExposure ...

best practices for security, scalability, observability, error handling, and API lifecycle management. Stay current with emerging integration patterns, serverless architectures, and generative AI/LLM technologies. Qualifications 4-8 years of software/integration development experience with strong AWS hands-on expertise. Proven experience in designing and implementing RESTful APIs ...

validation frameworks for models and services Experience in regulated industries (e.g. PCI, HIPAA, SOC2), large companies, or mature engineering teams Optional familiarity with LLM tooling/RAG Why Join Us? Impact: Own high-profile ML-backed services that power customer-facing products driving measurable business outcomes Autonomy: Take ...

Experience building and deploying Shiny applications SQL development experience Experience integrating systems through REST APIs Practical experience working with Generative AI technologies Experience using LLM APIs and/or AI development tools Knowledge of prompt engineering and structured AI outputs Experience engaging directly with business stakeholders and translating requirements into ...

need to know the concept and be handy with the most common libraries Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. Develop Monitoring Systems: Create and support robust models for monitoring. Support and Innovate: Assist with a long tail of super ...

documented code. Experience developing and deploying machine learning, AI or data‐driven systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/ ...

with experience designing and delivering modern digital applications and services Practical experience designing and delivering AI-enabled digital services, with a strong understanding of LLM-based applications, retrieval, agentic patterns and AI orchestration Strong understanding of modern application architecture, including APIs, integrations, cloud and/or containerised architectures, CI/ ...

Comfort working with SQL databases, Git, Docker‐based workflows, and modern CI/CD pipelines. Practical understanding of AI‐assisted engineering tools and broader LLM concepts , with the judgment to use them responsibly with privacy, security, cost, and quality in mind. Clear communication skills, a collaborative mindset, and experience supporting ...

capabilities for a high-profile public sector organisation. The role combines software design, development management, technical assurance, and hands-on engineering across cloud platforms, LLM integration, and agentic tooling. Key Responsibilities: Lead the AI Enablement engineering team, set engineering standards, and conduct technical assurance and approvals. Guide software design ...

capabilities for a high-profile public sector organisation. The role combines software design, development management, technical assurance, and hands‐on engineering across cloud platforms, LLM integration, and agentic tooling. Key Responsibilities: Lead the AI Enablement engineering team, set engineering standards, and conduct technical assurance and approvals. Guide software design ...

modelling, and decisioning frameworks Driving innovation through the application of open banking data and advanced categorisation techniques Building and improving AI-powered solutions, including LLM-based agents and automated workflows Collaborating with Credit, Fraud, Engineering, and Product teams to deliver high-impact data science initiatives Supporting model deployment and ensuring ...

responsiveness at scale. Collaborate on the deployment of applications to cloud environments (mostly Azure) Integrate front-end applications with AI-powered services, including LLM-based APIs, workflows, and Agentic AI systems. Work with containerised environments (e.g., Docker) and contribute to automation, orchestration services, and cloud-native deployment pipelines. Support ...

Cloud Platform (GCP) . Develop and manage Infrastructure as Code (IaC) using Terraform . Support the development and deployment of innovative applications, including AI, LLM and agentic AI solutions. Build and improve CI/CD pipelines, deployment automation and engineering workflows. Work closely with innovation teams to move prototypes ...

bringing senior stakeholders with you through technical choices, trade-offs and delivery priorities* Lead the technical approach for Generative AI and agentic AI, including LLM selection, orchestration, RAG, tool use, agent design and evaluation.* Drive reusable platform capabilities for model access, prompt management, RAG, evaluation, observability, governance and cost management. ...

solution design to production deployment of ML models. You will be responsible for: Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendation systems, etc.), Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering ...

systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams and manage complex AI projects. Advanced proficiency in Python , MLOps, and software engineering principles. Experience setting ...

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 ...

with frontend languages and frameworks like Typescript and React Willingness to interface with end users and assist with use case discovery Comfort interacting with LLM tooling and willingness to learn about agentic workflows Benefits & Compensation Equity Comprehensive benefits (medical, dental, vision, commuter, and 401(k)) Professional development and growth opportunities ...

with deep expertise in Python. You build scalable, production-ready code. Agentic AI Experience: Proven, hands‐on experience building multi‐agent workflows or complex LLM orchestration pipelines (e.g. LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen). Multimodal AI Knowledge: Experience working with Vision‐Language Models (VLMs) and an understanding ...

help shape how the team gets the most from them Work with our AI engineers to integrate AI features into the platform – wiring agents, LLM-powered workflows and MCP integrations into services and user interfaces, including streaming responses and sensible guardrails Build and maintain microservices using Java 21 and Spring ...

testing, deployment and operation. Deep engineering fundamentals: Good judgement on system design, concurrency, security, testing and architecture trade-offs. Strong production Python. Hands-on LLM and agent experience: You have built real things with LLMs, you know where they fail, and you use AI coding tools every day. Cloud experience ...

will be responsible for building and maintaining the backend systems that support the development, testing, deployment, and scaling of our Machine Learning and LLM ‐ based tools, and for helping to transform these into robust, market ‐ ready products. We have ambitious plans to grow the AI team significantly over the next ...

SailPoint IdentityNow, HashiCorp Vault, Okta, Saviynt, or equivalent enterprise identity platforms. Familiarity with AI/ML security patterns, including identity and authorisation models for LLM-based agents and agentic workflows. Experience applying SRE principles to security platforms, including SLO definition and automated remediation. Background in DevSecOps and integrating identity controls ...