176 to 200 of 2,330 LLM Jobs in the UK

payments, or a regulated industry environment. Consulting background with a strong delivery track record (strategy firm or Big Four). Experience building or deploying LLM-based solutions, AI agents, or agentic workflows. Familiarity with MLOps practices - model versioning, monitoring, and retraining. Experience working in fast‐moving environments. Exposure to enterprise ...

work independently on complex technical challenges. Excellent communication and collaboration skills. Preferred Qualifications: Experience with AI platforms, MCP, tool orchestration, agent frameworks, or LLM integration. Experience building applications that leverage Large Language Models (LLMs). Experience with Retrieval Augmented Generation (RAG), vector databases, embeddings, or semantic search technologies. Experience integrating ...

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/ ...

stakeholders Your Skills Software engineering experience while leading engineering teams Strong hands‐on experience building and deploying AI applications in production Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns Experience with agentic frameworks and autonomous agent architectures Proficiency in Python and modern software development practices (testing, code ...

fraud, regtech or another regulated domain. Familiarity with knowledge graph and entity resolution problems: deduplication, linkage, hierarchies and temporal relationships. Experience supporting ML, LLM and agentic AI workloads, including feature stores, vector stores, retrieval pipelines, tool data and online/offline parity. Experience representing engineering externally at conferences, meet ...

unable to offer sponsorship Desirable Criteria AWS certification or equivalent, including AI and machine learning certifications or Bedrock specific training Hands on experience with LLM applications, agent frameworks or orchestration tooling, e.g. Bedrock AgentCore, Strands, LangGraph or MCP Experience building or contributing to an internal developer platform or shared enterprise ...

stakeholders Your Skills Software engineering experience while leading engineering teams Strong hands-on experience building and deploying AI applications in production Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns Experience with agentic frameworks and autonomous agent architectures Proficiency in Python and modern software development practices (testing, code ...

advanced analytics on Azure, including Azure Machine Learning, Cognitive Services, or Fabric AI capabilities Experience integrating AI-driven insights (e.g. predictive models, NLP, or LLM-based solutions) into data platforms and reporting solutions Understanding of data governance, security, and compliance, including role-based access control and data quality frameworks Familiarity ...

on. Bonus points if you have Experience building digital twins or service virtualisations of external systems for agent evaluation environments. Experience with LLM evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/ ...

on. Bonus points if you have Experience building digital twins or service virtualisations of external systems for agent evaluation environments. Experience with LLM evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/ ...

frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands-on proficiency in programming (e.g., Python, JavaScript ...

Lambda, DynamoDB, and S3 as components of AI system backends Observability — experience instrumenting AI systems with tracing, logging, and monitoring tooling (CloudWatch preferred) LLM integration — prompt engineering, tool/function calling, context window management, and output parsing AWS certifications desirable, particularly the AI/ML Specialty What we’ll offer ...

with Quality Engineers and SREs to ensure solutions meet quality, governance, and operational readiness expectations. Skills* Strong Python development experience.* Hands‐on experience with LLM and agent frameworks and agentic reasoning patterns.* Practical understanding of Model Context Protocol (MCP), including server and tool patterns.* FastAPI and REST API design ...

Contact Lens, Customer Profiles, Streams API, and the Connect data/analytics stack Hands-on experience with conversational and generative AI, Amazon Lex plus LLM-based development (Amazon Bedrock, Q in Connect, or equivalent), including prompt engineering and tool calling Strong TypeScript/Node.js and Python; production React experience; solid ...

architectural risks into clear, concise, and actionable strategic plans for senior executive leadership and non-security stakeholders. Nice to have: AI/ML Pipeline & LLM Familiarity: Hands-on experience or deep architectural familiarity with securing ML training lifecycles, protecting proprietary model weights, or building guardrails for autonomous workflows. Regulated Data ...

you. What you'll be doing Building and evolving commercial applications using C#, .NET and modern web technologies Designing and integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel ...

you. What you'll be doing Building and evolving commercial applications using C#, .NET and modern web technologies Designing and integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel ...

you. What you'll be doing Building and evolving commercial applications using C#, .NET and modern web technologies Designing and integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel ...

Design, build and maintain data pipelines and workflows that keep data accurate, timely and trustworthy Deploy and support production ML systems (including forecasting and LLM-driven workflows) with monitoring, versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda) Write ...

specs into practical code and communicating trade-offs clearly in plain English. And to really stand out from the crowd Experience with AI gateways, LLM proxies, or model-routing patterns. Exposure to AI observability tools, vector databases (Databricks AI Search), RAG pipelines, or non-deterministic system monitoring. Hands-on experience ...

syndicate, managing agent, London Market broker or specialty (re)insurer. Python for data analysis (pandas/notebooks). Hands-on experience applying AI/LLM tooling to analytics work. Experience with Microsoft Fabric, dbt, Azure DevOps/GitHub Actions, and data-quality tooling. Altogether, this is a role ...

with product and design, building and shipping production code, and owning what you deliver after launch. The scope of this role spans customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that enable other engineers to build with AI safely and efficiently. This ...

valuable intersection where you build both the polished front-end users interact with and the AI integration layer behind it (streaming LLM responses, RAG, agents), deploying on the cloud infrastructure that runs them. What You'll Do Design, build, and maintain responsive, accessible, high-performance web applications and AI-enabled ...

build for self-service, not dependency Desirable: Experience with machine learning or statistical modelling in a production context Exposure to AI product development, LLM tooling, or data applications Experience with data quality frameworks, semantic layers, or data observability tooling Prior experience working with HR, people, or workforce data Additional Information ...

focused mindset: you build for self-service, not dependencyDesirable: Experience with machine learning or statistical modelling in a production contextExposure to AI product development, LLM tooling, or data applicationsExperience with data quality frameworks, semantic layers, or data observability toolingPrior experience working with HR, people, or workforce dataAdditional InformationBring ...