26 to 50 of 1,595 LLM Jobs in England

deployment.Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose.Infrastructure as Code (IaC): Exposure to tools like Terraform.Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar.CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins.Database ManagementVector Databases: Experience with ...

deploying AI systems in production environments Strong technical expertise in LLMs, RAG, prompt engineering, embeddings, and vector databases Hands‐on experience with leading LLM providers (Anthropic Claude, OpenAI, etc.) Strong Python development skills and proficiency with AI coding assistants (Cursor, GitHub Copilot, Claude) Production experience with AWS cloud services ...

services in cloud environments, understanding the operational realities vs on-prem (security, networking, scaling, resilience and cost management). Hands on experience building agentic LLM systems, including RAG workflows, tool/function calling and orchestration, and integrating external APIs and enterprise data sources to improve business operations with appropriate guardrails ...

addition to the above, we would LOVE if youhave Knowledge ofvector databases and retrieval strategies. Experience withrecommender systems and ranking models. Familiarity with LLM evaluation tools (e.g., RAGAS,TruLens,LangSmith,Arize). A working understanding of cloud networking and platform infrastructure. Experience in e-commerce or retail environments. Why join ...

Qualifications, Capabilities, and Skills Experience with data, AWS and AIML engineering in commercial settings, preferably in the financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector ...

various backgrounds Preferred qualifications, capabilities, and skillsExperience with data, AWS and AIML engineering in commercial settings, preferably in financial sectorExperience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOpsPrior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases ...

Senior AI Engineer/AI Engineering Consultant/Generative AI Consultant/Senior Machine Learning Engineer/AI & ML Consultant/MLOps Engineer/LLM Engineer/AI Engineering Consultant/Senior AI Engineer/Generative AI Engineer/AI Solutions Architect/Data & AI Consultant/AI Solutions Consultant ...

engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly with clients to understand requirements, shape solutions, and translate ...

ReqID: FEQ327R328 Recruiter: Kanwal Matharu Location: London, United Kingdom - Hybrid Skills: Data Science, Machine Learning, AI, LLM, GenAI As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects ...

platforms. Demonstrates experience of cloud platforms such as Azure and AWS, with experience supporting and maintaining cloud-based infrastructure. Hands-on experience working with: LLM-based solutions, including Retrieval-Augmented Generation techniques and prompt engineering approaches Data processing frameworks and platforms, including batch and streaming pipelines Practical understanding of MLOps ...

relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps) Experience working on AIML systems and/or prior experience collaborating with data scientists ABOUT US J.P. Morgan is a global leader ...

capabilities into enterprise applications.Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development.Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases.Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server, Snowflake ...

enterprise applications. Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server ...

enterprise applications. Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server ...

venues (NeurIPS, ICML, ACL, CVPR). Experience with MLOps tools: MLflow, Weights & Biases, DVC. Familiarity with distributed training frameworks (DeepSpeed, Horovod). Experience with LLM fine-tuning and prompt engineering. Contributions to open-source ML projects. Competitive salary with annual performance bonus. £2,000 annual conference and learning budget. Private ...

encryption at rest and in transit, and secrets management (AWS Secrets Manager, HashiCorp Vault). Develop and enforce governance frameworks for working with LLM APIs and AI services, including data protection, PII safeguards, and compliance requirements. Conduct security audits, vulnerability assessments, and implement remediation strategies to maintain a secure infrastructure. ...

communication skills, both with teams and in client-facing engagements Interested in building AI applications, ranging from forecasting tools to image recognition applications and LLM-based chatbots and agents Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries ( e.g. Pytorch, Tensorflow ) from ...

delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi‐modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security ...

make myself available outside of normal working hours to suit your schedule. KEY SKILLS AI Software Engineer/Machine Learning Engineer/LLM Engineer/Python/AWS/Azure/Docker/Kubernetes/Generative AI/NLP/RAG/MLOps/UKSV DV/Outside IR35/ ...

support RFPs, proposals, and executive decision-making. Governance & Compliance: Establish AI governance frameworks and ensure regulatory compliance. Core Expertise Generative AI: Prompt Engineering, RAG, LLM APIs (OpenAI, Azure OpenAI, Gemini) AI Dev Tools: GitHub Copilot, Amazon Q, Google Duet, Cursor, Devin Cloud: Azure, AWS, GCP; Microservices; DevOps Programming: Python, JavaScript ...

APIs, tooling, and bespoke logic. Architecture & Standards: Architect robust, scalable, and compliant Agentic AI solutions across industries. Lead multi‐agent orchestration, RAG pipelines, and LLM/SLM integration design. Champion observability, telemetry, and auditable AI standards. Build and maintain reusable frameworks and asset libraries. Team & Product: Help build and guide ...

Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components. Additional Preferred Qualifications Experience with enterprise observability ...

taking AI prototypes to production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context‐window management and production guardrails; MCP, tool‐augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems ...

At the company, our core values are at the heart of everything we do. A culture of proactiveness and a customer‐centric mindset guides us in creating a unified platform that makes data science and ...

JOB ID: FEQ227R117 Location: London, United Kingdom Industry: Professional Business Services (Consultancy, Legal, etc) At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer‐centric ...