226 to 250 of 1,181 LLM Jobs in England

APIs and managed services, security gateways, IAM/least privilege, logging/observability, data residency and egress controls). Strong understanding of AI/LLM capabilities and risks across the lifecycle (model onboarding/ingestion, retrieval/RAG patterns, model serving) and associated control points (traceability, access, data handling), including ...

Experience leading cross-organizational technical programs or initiatives at scale. Experience with agentic systems and using AI to support production operations, including familiarity with LLM-based tooling, AI-driven automation, or intelligent incident response systems. Ability to understand complex relationship between the organization and its environment, identify connections, adopt different ...

engagement. \* Ability to translate complex AI/ML designs into clear documentation. \* Knowledge of enterprise architecture principles (security, cloud, data, resilience). \* Familiarity with LLM, RAG, and agentic system architectures and risks. \* Strong stakeholder management and communication skills across technical and non-technical audiences.**Career Stage:**Manager**London Stock Exchange ...

long‐term impact. How You’ll Contribute Own the technical direction, architecture, and implementation of AI systems end‐to‐end. Design and build LLM‐powered and agent‐based solutions from concept to production. Establish engineering standards, patterns, and reusable components across use cases. Own key technical decisions on models, tooling ...

automation expertise and familiarity with Git-based workflows. Experience with vulnerability management tools and endpoint telemetry/observability platforms. Experience supporting local AI/LLM developer tooling (e.g., Claude Code, Ollama, LM Studio) and GPU-accelerated workstations. Microsoft certifications related to Endpoint, Azure, or Security. Why Choose Fitch: Hybrid Work ...

multi-step AI automation in production: task decomposition, tool use/function calling, workflow orchestration, and human-in-the-loop review. Strong grasp of LLM product risks, controls and quality metrics. A stronger user mindset, with ability to translate user needs into valuable product features. Excellent communication and collaboration skills. ...

organizations. Deep experience designing, building, and operating distributed systems, cloud-native platforms, APIs, and event‐driven architectures. Hands‐on experience building and delivering LLM‐powered applications, AI systems, or agent‐based solutions in production environments. Strong software development expertise in Python, TypeScript, or comparable modern programming languages. Demonstrated experience establishing ...

multi-step AI automation in production: task decomposition, tool use/function calling, workflow orchestration, and human-in-the-loop review. • Strong grasp of LLM product risks, controls and quality metrics. • A stronger user mindset, with ability to translate user needs into valuable product features. • Excellent communication and collaboration skills. ...

will design and operate MCP-based platforms and collaborate with product teams to deliver reliable AI tooling. The role requires strong Python, expertise with LLM frameworks, FastAPI, and Kubernetes, plus experience with RAG and tool orchestration in an enterprise setting. #J-18808-Ljbffr ...

world client environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Designing internal AI tooling to accelerate delivery Leading advanced technical AI sessions within our upskilling programme Evaluating emerging AI tools, frameworks ...

solutions into production environments Experience with AI architecture and patterns, including RAG, tool calling and multi‐agent orchestration Experience building or deploying AI/LLM‐powered solutions and workflows Full‐stack software engineering skills, particularly Python, APIs and system integration Enterprise system integration and architecture experience Workflow automation and process ...

Strong understanding of Generative AI platforms and enterprise AI adoption practices. Experience working with AI tools such as Claude, ChatGPT, Microsoft Copilot, or similar LLM platforms. Familiarity with AI-enabled workflow automation and human-in-the-loop agentic solutions. Knowledge of enterprise data platforms, automation tools, and service delivery technologies. ...

Blockchain Knowledge: Strong command of token standards (ERC-20, Token 2022), smart contract patterns, and compliance-aware protocols with embedded transfer restrictions. AI/LLM Proficiency: You don’t just read about AI; you use it. You have a functional understanding of how LLMs work and a vision ...

GA4GH, MIAME, etc.) Track recordscaling data governance or data stewardship programs across multiple labs, studies, or organizations Familiarity with agentic AI, machine learning, or LLM-driven automation in data/science workflows Familiarity with biomarker platform companies (e.g., Guardant Health, Foundation Medicine, Tempus) or research consortia (e.g., NCI's SEQC ...

equivalent experience in strategy or marketing transformation Experience with: Marketing automation platforms (e.g., Marketo, HubSpot, Eloqua) CRM systems (e.g., Salesforce) AI platforms (e.g., Copilot, LLM-based tools) Knowledge of: AI governanceandresponsibleAIprinciples Data privacy regulationsimpactingmarketing (e.g., GDPR) Certifications (advantageous): Digital Marketing/Growth certifications AI/Data Certifications Agile/Product ...

equivalent experience in strategy or marketing transformation Experience with: Marketing automation platforms (e.g., Marketo, HubSpot, Eloqua) CRM systems (e.g., Salesforce) AI platforms (e.g., Copilot, LLM-based tools) Knowledge of: AI governance and responsible AI principles Data privacy regulations impacting marketing (e.g., GDPR) Certifications (advantageous): Digital Marketing/Growth certifications ...

Collaborate with engineers to make architecture and design decisions Wrestle with data at a scale that breaks assumptions and demands invention Build custom applications, LLM workflows, and production solutions engineered for a specific customer's reality Own relationships with stakeholders from the users in the weeds to the executives making ...

Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. … Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to-end ML lifecycleexpertise: feature engineering, model training,evaluationand production deployment, includingMLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn ...

practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads … memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands‐on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering ...

development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment. LLM & RAG Integration: Design and implement new Retrieval-Augmented Generation (RAG) pipelines and enhance existing frameworks, applying advanced techniques in data chunking/splitting, vectorization, knowledge graph … Prompt Engineering: Design and execute experiments to benchmark and evaluate model performance using both classical metrics (precision, recall, F-score) and GenAI-specific techniques (LLM-as-a-Judge, ROUGE, BERTScore). Develop and refine prompts to optimise GenAI model reasoning, accuracy, and overall effectiveness. Cross-Functional Collaboration: Work closely with ...

date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements **Experience** **AI Orchestration & Development:** Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. **Artificial Intelligence & Machine Learning:** Deep practical understanding of machine learning algorithms, natural …/HND courses will also be accepted. Core Competencies Demonstrates expertise in AI Orchestration and Development, with a strong focus on building complex LLM-powered systems and multi‐agent workflows. Proficient in Cloud Computing and Data Engineering, particularly with Google Cloud Platform services, while also showcasing leadership in team mentorship ...

contact the recruiter directly. Your Role This role focuses on designing and building the AI brain for autonomous network operations. The AI/LLM Engineer will develop LLM-based agents, RAG systems, multi-agent workflows, semantic search, graph-enhanced reasoning, predictive analytics, KPI models, fault correlation models, and closed-loop … decision support capabilities. Key Responsibilities Design and develop LLM-based and agentic AI solutions for autonomous network operations. Build RAG frameworks using network documentation, alarms, topology, inventory, KPIs, trouble tickets, procedures, configuration data, and operational knowledge. Develop multi-agent workflows using LangChain, LangGraph, MCP, or similar frameworks. Implement vector search ...

rapid prototyping workflows. Lead applied AI strategy for forecasting, inventory optimization, routing, supplier risk, and digital twins. Deploy generative AI across product features (LLM assistants, automated reporting, anomaly explanation, conversational analytics). Build agentic AI frameworks for autonomous supply chain actions and integrate privacy-preserving and sandboxing patterns. … knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and real-time streaming (Kafka, Flink, Spark Streaming). Familiarity with generative AI patterns (LLM fine-tuning, RAG, prompt engineering, function calling, agent frameworks) and graph/knowledge graph technologies. DevOps/SRE practices at scale: CI/ ...

AI Engineer – Data & Reporting Location: London (Hybrid – 2–3 days per week in the office) Salary: £70,000–£80,000 + Bonus + Excellent Benefits We're working with a leading global technology consultancy that ...

AI Engineer - Data & Reporting Location: London (Hybrid 2/3 days per week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial ...