126 to 150 of 2,433 LLM Jobs in England

workflows We’re looking for deep experience across: Python and strong software engineering fundamentals Production Machine Learning/AI engineering AWS Agentic AI and LLM‐based applications Retrieval Augmented Generation (RAG) LangChain and/or LangGraph Vector databases and retrieval MLOps and production deployment AI evaluation, testing and observability ...

Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model ...

Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model ...

development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users.* Apply NLP and LLM techniques to solve real-world problems, ensuring models are optimized for performance and reliability.* Continuously improve model quality through tuning, evaluation, and feedback from production usage.* Evaluate ...

embed complete CI/CD/DevSecOps lifecycles. Data & AI Architecture: Provide technical direction across RDBMS, NoSQL, Data Lakes, and AI/ML capabilities (LLM integration, RAG, vector databases). Performance & Security: Lead latency profiling, database tuning, DevSecOps, secrets management, and infrastructure sizing. Hands-On Leadership & Troubleshooting: Review designs ...

Metadata Management, Data Quality, Data Lineage, Master Data Management, and enterprise data catalogues. Strong knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), LLM integration, Vector Databases, and AI governance frameworks. Significant experience leading technical pre-sales engagements and developing complex solution architectures. Demonstrable experience responding to large-scale ...

upside. What we need from you Substantial software engineering experience, with strong Python. You write production code, not just notebooks. Demonstrable delivery of LLM or agentic systems into production for real users, and the scar tissue that comes with it. We will ask what broke and what you changed. Hands ...

helping grow our AI Platform & Reliability Engineering capability. This Will Include: AI Platform Strategy & Architecture: Assess, define and evolve enterprise AI platform architectures, covering LLM and agentic frameworks, AI gateways, model lifecycle management, data platforms, MLOps/LLMOps foundations and integration patterns. Support clients in evaluating build, buy and hybrid ...

upside. What we need from you Substantial software engineering experience, with strong Python. You write production code, not just notebooks. Demonstrable delivery of LLM or agentic systems into production for real users, and the scar tissue that comes with it. We will ask what broke and what you changed. Hands ...

scripts to support AI-driven workflows and enterprise system integrations. Build, support, and scale AI-enhanced automation pipelines and internal developer tooling. Securely integrate LLM capabilities into existing platforms, CI/CD pipelines, and enterprise systems. Establish prompt engineering standards, governance patterns, and evaluation metrics for AI output quality ...

ML. Hands‐on with Azure OpenAI, Azure AI Foundry, Document Intelligence, Data Factory, ML Service, Databricks, Key Vault, Blob Storage, Synapse Analytics, DevOps. Strong LLM, embeddings, RAG, prompt engineering knowledge. Expertise in secure API/event‐driven design, microservices, DDD. Experience with vector databases, semantic search, Azure ML pipelines, Power ...

engineering work Practical understanding of AI‐first software development Experience contributing to, supporting, or governing the use of AI agents or LLM‐powered engineering workflows Ability to break down complex technical problems and guide delivery through clear, pragmatic technical direction Strong communication skills and the ability to work effectively with ...

notebooks) and an appreciation of wider data science techniques, enough to collaborate credibly with Data Scientists and Actuarial. Hands‐on experience applying AI/LLM tooling to analytics work (e.g. Co‐pilot for Power BI/Fabric, MCP‐style integrations, agentic assistants, code‐generation tools) with a pragmatic view ...

Entra ID, including SSO, OAuth/OIDC, role‐based access controls and secure access to APIs and data. Experience integrating AI-enabled features, including LLM, retrieval, search, document‐processing or workflow‐automation capabilities, into user-facing applications. A strong eye for product design and usability, including visual hierarchy, interaction patterns ...

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 ...

right thing, not just the fast thing. Shape platform architecture with an architectural lens, contributing to long‐term decisions about how AI tooling, LLM integrations, and human‐in‐the‐loop controls evolve across the stack. Continuously identify and exploit opportunities to improve performance, reliability, and user experience, using observability ...

messaging and events, Git, SonarQube AI in our workflow: Claude Code and Codex day to day, custom skills, MCP servers over our own platform, LLM-powered document and data ingestion What the first year looks like Month 1: you know the platform, the domain and the team ...

working knowledge of Python. Proven experience delivering AI, machine learning or data-driven features into production, such as recommendation engines, search, ranking systems or LLM-powered applications. Hands‐on experience building and operating cloud-native applications on AWS, with a solid understanding of CI/CD, infrastructure as code ...

platforms using Databricks. Strong knowledge of Databricks Lakehouse, Unity Catalog, MLflow, and AI workloads. Experience developing GenAI solutions such as RAG, embeddings, and LLM integration. Experience designing agentic workflows and orchestration patterns. Strong understanding of Azure AI services and their integration with Databricks. Experience using VS Code and AI‐assisted ...

prompt design, guardrails and responsible AI Key experience: 3+ years of software or machine learning engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda ...

integration and AIenabled workflows Build and support AIdriven automation pipelines and developer tooling Write review and maintain high-quality secure and scalable code Integrate LLM capabilities into existing platforms CICD pipelines and enterprise systems Define prompt engineering standards patterns and governance Evaluate AI output quality performance security and cost Provide ...

modern engineering practices such as Docker‐based workflows and infrastructure as code. Practical understanding of AI‐enabled engineering and product use cases, including common LLM concepts and considerations such as privacy, security, bias, governance, and cost. Clear communication skills, with the ability to work effectively with engineers, product managers ...

stack development experience (React/Node.js, .NET/C#, Python/FastAPI). Proven background delivering production software in client-facing environments. Experience with LLM integration, prompt engineering, RAG or agentic AI development. Familiarity with AI-assisted development tools (GitHub Copilot, Claude, Cursor). Hands-on experience with Azure cloud ...

etc.) to improve productivity where appropriate. Good problem-solving skills and understanding of scalable system design. Nice to Have Basic awareness of AI/LLM concepts or experience consuming AI APIs (e.g. simple integrations). Familiarity with tools or platforms from providers like Anthropic. Experience in developing, building, and deploying ...

Counselling. A range of generous Parental Leave offerings. #LI-EU SNGCR01 What We Are Looking For Production GenAI experience. Experience delivering GenAI and LLM-based solutions into production environments. You understand the realities of operating, monitoring and evolving AI systems at scale. Customer domain expertise. Experience applying AI to customer ...