1 to 25 of 69 LLM Jobs in Glasgow

problem framing and business case through to deployed, monitored production services with measurable advisor and client impactLeads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international marketsSets the engineering quality bar for the team's AI products through code reviews, technical design ...

Client experience, and surfacing IPB-first use cases) to discover and frame high-value AI/ML opportunitiesRapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed) to demonstrate value quickly, then hardens and scales them with ...

models or data-intensive services in production (MLOps)Practical experience with observability tooling (metrics, logging, tracing) and production incident responseExperience operating ML/LLM workloads in production (LLMOps, inference reliability, cost/performance management)Strong communication skills and the ability to set standards other engineers adoptIndustry-recognised container/Kubernetes ...

Preferred qualifications, capabilities, and skills Experience with data, AWS and AIML engineering in commercial settings, preferably in 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 ...

models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/LLM workloads in production (LLMOps, inference reliability, cost/performance management) Strong communication skills and the ability to set standards other engineers adopt Industry-recognised container ...

tools (Splunk, Grafana, Datadog, Prometheus, etc.). Deep understanding of cloud infrastructure design, architecture, and migration strategies. Proficiency with AI‐assisted coding workflows, including LLM‐powered development tools, spec‐driven development, and prompt engineering. Preferred Qualifications, Capabilities, and Skills: Master’s degree in a related field and certifications in Cloud ...

monitoring tools (Splunk, Grafana, Datadog, Prometheus, etc.).Deep understanding of cloud infrastructure design, architecture, and migration strategies. Proficiency with AI-assisted coding workflows, including LLM-powered development tools, spec-driven development, and prompt engineering. Preferred Qualifications, Capabilities, and Skills: Master's degree in a related field and certifications in Cloud ...

Puppet; CI/CD pipelines (Jenkins, GitHub Actions).Observability & Monitoring: Experience integrating observability and monitoring solutions (Splunk, Prometheus, Loki, Grafana).AI & Advanced Analytics Exposure: LLM Integration: Retrieval-augmented generation, fine-tuning, prompt engineering. Generative AI: Building and deploying generative AI solutions for data-driven insights and automation. Agentic AI: Designing ...

environmentMaster's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)Preferred qualifications, capabilities, and skillsExperience operating ML/LLM workloads in production (MLOps, inference reliability, cost/performance management)Experience within financial services technologyFamiliarity with JPM-internal platform, cloud, and observability tooling for internal ...

degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience) Preferred qualifications, capabilities, and skills Experience operating ML/LLM workloads in production (MLOps, inference reliability, cost/performance management) Experience within financial services technology Familiarity with JPM-internal platform, cloud, and observability tooling for internal ...

Azure, and/or GCP). Exposure to large language models (LLMs) such as ChatGPT and Google Bard (or similar). Exposure to LLM application patterns and tooling, including LangChain, retrieval-augmented generation (RAG), and fine-tuning. Experience communicating with and engaging senior leadership and other stakeholders. Preferred: experience building ...

/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. Working knowledge of LLM application patterns - prompt design, retrieval-augmented generation (RAG), embeddings and vector search, structured output, and tool/function calling. Experience with agentic AI frameworks - multi ...

Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering Ability to drive innovation ...

experience with Spark/PySpark and other big data processing technologiesExpertise in open-source table formats and catalog services such as Apache IcebergExperience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)Familiarity with emerging technologies in data engineeringAbility to drive innovation and continuous ...

Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering Ability to drive innovation ...

GitHub Copilot Skills. Preferred qualifications, capabilities, and skills: Good understanding of operating systems such as Windows, Linux (Redhat/Ubuntu) Good understanding of LLM and other AI/ML frameworks which can be used in AIOPS J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

building applications on AWS or other public cloud platformsExperience with Generative AI systems, including: RAG (Retrieval-Augmented Generation) architectureAI orchestration frameworks (LangChain, LlamaIndex, etc.)LLM evaluation frameworks and responsible AI practices (guardrails, content filtering)Preferred Qualifications, Capabilities, and SkillsDeep expertise in Java, object-oriented design, and system designExperience with ElasticSearch ...

GitHub Copilot Skills. Preferred qualifications, capabilities, and skills: Good understanding of operating systems such as Windows, Linux (Redhat/Ubuntu) Good understanding of LLM and other AI/ML frameworks which can be used in AIOPS ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice ...

Join a team where your engineering expertise directly protects the reliability and resilience of systems that matter at scale. At JPMorganChase, we invest in engineers who think beyond the code — who own outcomes, drive operational ...

this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes … through applied AI. You will own the reliability, performance, and cost-efficiency of the LLM inference platform end to end. You will operate large language model serving stacks (such as vLLM and llm-d) in production at scale, with deep instrumentation and strong operational rigor. You will partner across engineering ...

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 ...

cross‐functional teams to deliver high‐quality outcomes Desirable experience Experience with Copilot Studio or similar conversational or agent‐based AI technologies Understanding of LLM capabilities, prompt design, and enterprise AI use cases Awareness of Azure AI Foundry and the wider Azure AI ecosystem Familiarity with CI/ ...

security. Knowledge of software applications and technical processes within a technical discipline (e.g. cloud, artificial intelligence, platform engineering). Experience with Transformative AI or LLM driven solutions. Preferred Qualifications, Capabilities And Skills Hands‐on practical experience in building agentic AI platforms for building AI‐driven customer experiences Knowledge of software ...

plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows. Build LLM/SLM-powered applications including RAG-based systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents. Engineer production-grade services using … copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability ...

JPMorganChase in the United Kingdom seeks a Software Engineer III to join Corporate Technology. You will be a senior member of an agile team delivering secure, scalable software solutions across multiple domains and leveraging AI ...