26 to 50 of 401 LLM Jobs in London

Services, Power BI, Power Platform, and data integration Experience with low-code and pro-code development across enterprise systems Understanding of AI integrations including LLM services and API-driven automation Experience using Azure DevOps for CI/CD, repositories, and deployment pipelines Strong stakeholder management and communication skills Ability ...

Building and optimising cloud-native services and distributed systems within AWS environments. Developing intelligent search and AI-driven workflows, including semantic search and large language model integrations. Collaborating with engineers, product teams, and stakeholders to deliver robust technical solutions. Contributing to architectural decisions, engineering standards, and best practices across ...

Building and optimising cloud-native services and distributed systems within AWS environments. Developing intelligent search and AI-driven workflows, including semantic search and large language model integrations. Collaborating with engineers, product teams, and stakeholders to deliver robust technical solutions. Contributing to architectural decisions, engineering standards, and best practices across ...

regulatory and governance frameworks (HIPAA, 21 CFR Part 11).* Exposure to RWE, biomarker discovery, or trial optimization.* Experience with agentic AI or LLM orchestration in Life Sciences.* Familiarity with platforms such as AWS, Azure ML, Databricks, foundation‐model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling.## ## ...

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 ...

Experience • 8–10+ years of software engineering experience • Strong experience with cloud-native systems (APIs, microservices, containers, serverless) • Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration) • Proficiency in Python, Java, or similar backend languages • Experience with: ◦ CI/CD pipelines ◦ Infrastructure as code ◦ Monitoring ...

global organisation building cutting-edge AI solutions at scale. We are looking for candidates who have hands-on experience building and deploying real-world LLM and agentic AI systems into production environments — not just prototypes. Key experience required: • Python and production-grade coding • LLMs, AI Agents & Agentic Workflows • LangChain/ ...

ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) 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 ...

ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) 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 ...

ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) 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 ...

scalable API platforms. Key Responsibilities Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics. Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap. Lead, mentor, and scale a high-performing engineering team ...

relevant discipline (Maths, Engineering, Computer Science, etc.) – ~4+ years in AI/ML engineering, or strong software engineering with AI exposure – Experience taking LLM or agent-based systems into production – Strong understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such as LangGraph, ReAct, CoT — or building similar ...

reasoning, and enterprise data integration; building software that automates workflows and takes action, rather than producing static outputs. Our stack typically includes Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure. What you’ll bring: Proven hands-on experience building production-grade solutions using ...

enterprise data integration; driving the development of systems that automate workflows and execute real business tasks at scale. Our stack typically includes Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure. What you’ll bring Deep, hands-on experience building and deploying production-grade ...

z2bz0 years of software engineering experience Strong experience with cloud-native systems (APIs, microservices, containers, serverless) Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration) Proficiency in Python, Java, or similar backend languages Experience with: CI/CD pipelines Infrastructure as code Monitoring and observability ...

z2bz0 years of software engineering experience Strong experience with cloud-native systems (APIs, microservices, containers, serverless) Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration) Proficiency in Python, Java, or similar backend languages Experience with: CI/CD pipelines Infrastructure as code Monitoring and observability ...

impact team. This is not a traditional engineering role. It’s a client-facing, front-end position focused on shaping how Generative AI and LLM solutions are applied in real enterprise environments, working closely with sales teams, architects, and clients to design, prototype, and demonstrate solutions that deliver measurable business ...

Govern: Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle. GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI ...

Govern: Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle. GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI ...

Govern: Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle. GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI ...

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 ...

vision, processes, and best practices genuine technical leadership, not a senior IC with a fancier title. This role leads on multi-agent systems and LLM orchestration patterns. Building complex agentic workflows. You'd be working with frameworks like LangGraph, Pydantic AI, and Agent SDK. Your background is most likely ...

products, and managing a 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 ...

products, and managing a 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 ...

align on solution design and trade‐offs. Own the vendor and partner strategy for product support, including external development capacity and AI/LLM capabilities, in coordination with IT and Procurement. Serve as a trusted advisor to Commercial leadership, applying strong business and financial acumen to evaluate trade‐offs ...