26 to 50 of 160 LLM Jobs in Scotland

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 ...

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 ...

Capabilities, and Skills: Hands-on experience with data lineage tools and techniques, including graph & vector databases and metadata management platforms Hands-on experience with LLM Ops, MLOps, and AI/ML platform deployment at scale Familiarity with business-led analytics delivery models and rapid prototyping frameworks Experience with AI/ ...

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 ...

support technical demos and deep dive sessions. This Role Is For You If You have strong hands‐on experience in Data Science concepts, or LLM experimentation using structured evaluation frameworks. You are highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code You have experience deploying ML workloads ...

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 ...

including defining and evolving approaches to anomaly detection that balance performance, explainability, and operational risk. Lead a team of Data Scientists Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ...

scalable, secure, maintainable, and aligned with business objectives. Provide deep expertise in model development, experimentation, optimization, evaluation, and production deployment. Establish standard methodologies for LLM evaluation, model benchmarking, AI quality measurement, and performance assessment. Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation … Learning solutions at scale. Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures. Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment. Good foundation in statistics, probability, optimization, experimentation, and applied machine learning. Advanced proficiency ...

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/ ...

Senior AI Engineer Location: Scotland (Edinburgh Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Shape the future of AI-powered financial services through cutting-edge generative AI engineering and enterprise-scale innovation. The Role We’re ...

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 ...

Senior AI Engineer Manager/Associate Director | Capital MarketsLocation: EdinburghWorking pattern: HybridSalary: Compensation aligned to experience and seniorityRef: J13115Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions ...

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 ...

practices. Experience in prompt engineering, with the ability to design, test, and systematically improve prompts, while measuring the accuracy, bias, and robustness of LLM outputs. Awareness of agentic workflows involving AI agents that can plan, reason, and take autonomous actions. Awareness of governance, security, and compliance considerations relating to data ...

ship production AI-enabled software across the full stack, with a focus on Python backend services, APIs, and multi-cloud deployments. You will implement LLM-driven workflows, bring up model gateways, and support CI/CD pipelines in a Kubernetes environment, ensuring secure data handling and observability at enterprise scale. ...

care most about, and the part candidates most often overstate. We want evidence of building, not of using. You have shipped a non-trivial LLM agent: something that plans, calls real tools, handles errors, and finishes a multi-step task unsupervised. A private repository or a work project ...

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 ...

/ML Technology domain to build production software with AI-enabled capabilities. You will develop Python backends, APIs, and microservices, and implement LLM-driven workflows across a multi-cloud environment using Terraform, Kubernetes, and CI/CD pipelines. You will contribute to the full software lifecycle from requirements to production ...

/ELT experience. Experience working with complex, cloud-native data environments. BigQuery experience. Kafka/event-driven architectures. Neo4j/Knowledge Graphs. AI/LLM and RAG solutions. Enterprise search and indexing. Data governance and regulatory environments. The opportunity This is a greenfield, high-profile transformation programme with significant strategic ...

Senior AI Engineer Manager/Associate Director | Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13115 Senior AI Engineering professionals are required to support the design, build and ...

automation opportunities for the organisation. SKILLS/EXPERIENCE OF THE PYTHON ENGINEER Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation Machine Learning & AI Libraries including: Transformers/Hugging Face for working with pre-trained LLMs, finetuning, and inference PyTorch for deep learning model development ...